Warning: Permanently added '2620:52:3:1:dead:beef:cafe:c149' (ED25519) to the list of known hosts. You can reproduce this build on your computer by running: sudo dnf install copr-rpmbuild /usr/bin/copr-rpmbuild --verbose --drop-resultdir --task-url https://copr.fedorainfracloud.org/backend/get-build-task/8336908-fedora-40-x86_64 --chroot fedora-40-x86_64 Version: 1.2 PID: 9145 Logging PID: 9146 Task: {'allow_user_ssh': False, 'appstream': False, 'background': True, 'bootstrap': 'off', 'build_id': 8336908, 'buildroot_pkgs': [], 'chroot': 'fedora-40-x86_64', 'enable_net': False, 'fedora_review': False, 'git_hash': 'be8de3f830da310bbdd83cb02f47b210b32e6836', 'git_repo': 'https://copr-dist-git.fedorainfracloud.org/git/@python/python3.12/python-scikit-learn', 'isolation': 'default', 'memory_reqs': 2048, 'package_name': 'python-scikit-learn', 'package_version': '1.5.2-6', 'project_dirname': 'python3.12', 'project_name': 'python3.12', 'project_owner': '@python', 'repo_priority': None, 'repos': [{'baseurl': 'https://download.copr.fedorainfracloud.org/results/@python/python3.12/fedora-40-x86_64/', 'id': 'copr_base', 'name': 'Copr repository', 'priority': None}, {'baseurl': 'http://kojipkgs.fedoraproject.org/repos/rawhide/latest/$basearch/', 'id': 'http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch', 'name': 'Additional repo http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch'}], 'sandbox': '@python/python3.12--https://src.fedoraproject.org/user/sergiopr', 'source_json': {}, 'source_type': None, 'ssh_public_keys': None, 'storage': None, 'submitter': 'https://src.fedoraproject.org/user/sergiopr', 'tags': [], 'task_id': '8336908-fedora-40-x86_64', 'timeout': 18000, 'uses_devel_repo': False, 'with_opts': [], 'without_opts': []} Running: git clone https://copr-dist-git.fedorainfracloud.org/git/@python/python3.12/python-scikit-learn /var/lib/copr-rpmbuild/workspace/workdir-yigbm314/python-scikit-learn --depth 500 --no-single-branch --recursive cmd: ['git', 'clone', 'https://copr-dist-git.fedorainfracloud.org/git/@python/python3.12/python-scikit-learn', '/var/lib/copr-rpmbuild/workspace/workdir-yigbm314/python-scikit-learn', '--depth', '500', '--no-single-branch', '--recursive'] cwd: . rc: 0 stdout: stderr: Cloning into '/var/lib/copr-rpmbuild/workspace/workdir-yigbm314/python-scikit-learn'... Running: git checkout be8de3f830da310bbdd83cb02f47b210b32e6836 -- cmd: ['git', 'checkout', 'be8de3f830da310bbdd83cb02f47b210b32e6836', '--'] cwd: /var/lib/copr-rpmbuild/workspace/workdir-yigbm314/python-scikit-learn rc: 0 stdout: stderr: Note: switching to 'be8de3f830da310bbdd83cb02f47b210b32e6836'. You are in 'detached HEAD' state. You can look around, make experimental changes and commit them, and you can discard any commits you make in this state without impacting any branches by switching back to a branch. If you want to create a new branch to retain commits you create, you may do so (now or later) by using -c with the switch command. Example: git switch -c Or undo this operation with: git switch - Turn off this advice by setting config variable advice.detachedHead to false HEAD is now at be8de3f automatic import of python-scikit-learn Running: dist-git-client sources cmd: ['dist-git-client', 'sources'] cwd: /var/lib/copr-rpmbuild/workspace/workdir-yigbm314/python-scikit-learn rc: 0 stdout: stderr: INFO: Reading stdout from command: git rev-parse --abbrev-ref HEAD INFO: Reading stdout from command: git rev-parse HEAD INFO: Reading sources specification file: sources INFO: Downloading scikit_learn-1.5.2.tar.gz INFO: Reading stdout from command: curl --help all INFO: Calling: curl -H Pragma: -o scikit_learn-1.5.2.tar.gz --location --connect-timeout 60 --retry 3 --retry-delay 10 --remote-time --show-error --fail --retry-all-errors https://copr-dist-git.fedorainfracloud.org/repo/pkgs/@python/python3.12/python-scikit-learn/scikit_learn-1.5.2.tar.gz/md5/e2df2bb829d461207fe8780f3e9a9cde/scikit_learn-1.5.2.tar.gz % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 6837k 100 6837k 0 0 35.0M 0 --:--:-- --:--:-- --:--:-- 35.1M INFO: Reading stdout from command: md5sum scikit_learn-1.5.2.tar.gz /usr/bin/tail: /var/lib/copr-rpmbuild/main.log: file truncated Running (timeout=18000): unbuffer mock --spec /var/lib/copr-rpmbuild/workspace/workdir-yigbm314/python-scikit-learn/python-scikit-learn.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-yigbm314/python-scikit-learn --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1733216357.990167 -r /var/lib/copr-rpmbuild/results/configs/child.cfg INFO: mock.py version 5.9 starting (python version = 3.13.0, NVR = mock-5.9-1.fc41), args: /usr/libexec/mock/mock --spec /var/lib/copr-rpmbuild/workspace/workdir-yigbm314/python-scikit-learn/python-scikit-learn.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-yigbm314/python-scikit-learn --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1733216357.990167 -r /var/lib/copr-rpmbuild/results/configs/child.cfg Start: init plugins INFO: tmpfs initialized INFO: selinux enabled INFO: chroot_scan: initialized INFO: compress_logs: initialized Finish: init plugins INFO: Signal handler active Start: run INFO: Start(/var/lib/copr-rpmbuild/workspace/workdir-yigbm314/python-scikit-learn/python-scikit-learn.spec) Config(fedora-40-x86_64) Start: clean chroot Finish: clean chroot Mock Version: 5.9 INFO: Mock Version: 5.9 Start: chroot init INFO: mounting tmpfs at /var/lib/mock/fedora-40-x86_64-1733216357.990167/root. INFO: calling preinit hooks INFO: enabled root cache INFO: enabled package manager cache Start: cleaning package manager metadata Finish: cleaning package manager metadata INFO: enabled HW Info plugin INFO: Package manager dnf5 detected and used (fallback) INFO: Buildroot is handled by package management from host and used with --installroot: rpm-4.20.0-1.fc41.x86_64 rpm-sequoia-1.7.0-2.fc41.x86_64 python3-dnf-4.22.0-1.fc41.noarch python3-dnf-plugins-core-4.10.0-1.fc41.noarch dnf5-5.2.7.0-1.fc41.x86_64 dnf5-plugins-5.2.7.0-1.fc41.x86_64 Start: installing minimal buildroot with dnf5 Updating and loading repositories: updates 100% | 11.4 MiB/s | 12.1 MiB | 00m01s fedora 100% | 7.1 MiB/s | 20.8 MiB | 00m03s Copr repository 100% | 5.4 MiB/s | 3.6 MiB | 00m01s Additional repo http_kojipkgs_fedorapr 100% | 46.3 MiB/s | 14.2 MiB | 00m00s Repositories loaded. 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pkgconf-m4 noarch 2.3.0-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 14.4 KiB pkgconf-pkg-config x86_64 2.3.0-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 989.0 B popt x86_64 1.19-7.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 136.9 KiB publicsuffix-list-dafsa noarch 20240107-4.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 67.5 KiB pyproject-srpm-macros noarch 1.16.2-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.9 KiB python-srpm-macros noarch 3.13-3.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 51.0 KiB qt5-srpm-macros noarch 5.15.15-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 500.0 B qt6-srpm-macros noarch 6.8.0-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 456.0 B readline x86_64 8.2-11.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 493.1 KiB rpm x86_64 4.20.0-1.fc42 copr_base 3.1 MiB rpm-build-libs x86_64 4.20.0-1.fc42 copr_base 206.7 KiB rpm-libs x86_64 4.20.0-1.fc42 copr_base 726.1 KiB rpm-sequoia x86_64 1.7.0-2.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 2.4 MiB rust-srpm-macros noarch 26.3-3.fc42 copr_base 4.8 KiB setup noarch 2.15.0-5.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 720.7 KiB sqlite-libs x86_64 3.47.1-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.4 MiB systemd-libs x86_64 257~rc3-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 2.3 MiB util-linux-core x86_64 2.40.2-8.fc42 copr_base 1.5 MiB xxhash-libs x86_64 0.8.2-4.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 88.4 KiB xz-libs x86_64 1:5.6.3-2.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 218.4 KiB zig-srpm-macros noarch 1-3.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.1 KiB zip x86_64 3.0-41.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 703.2 KiB zlib-ng-compat x86_64 2.2.2-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 134.0 KiB zstd x86_64 1.5.6-2.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.7 MiB Installing groups: Buildsystem building group Transaction Summary: Installing: 154 packages Total size of inbound packages is 52 MiB. Need to download 52 MiB. After this operation, 179 MiB extra will be used (install 179 MiB, remove 0 B). [ 1/154] bzip2-0:1.0.8-19.fc41.x86_64 100% | 664.8 KiB/s | 52.5 KiB | 00m00s [ 2/154] cpio-0:2.15-2.fc41.x86_64 100% | 7.0 MiB/s | 285.2 KiB | 00m00s [ 3/154] bash-0:5.2.37-1.fc42.x86_64 100% | 13.8 MiB/s | 1.8 MiB | 00m00s [ 4/154] coreutils-0:9.5-11.fc42.x86_6 100% | 8.0 MiB/s | 1.1 MiB | 00m00s [ 5/154] diffutils-0:3.10-8.fc41.x86_6 100% | 16.9 MiB/s | 397.2 KiB | 00m00s [ 6/154] fedora-release-common-0:42-0. 100% | 1.4 MiB/s | 23.7 KiB | 00m00s [ 7/154] findutils-1:4.10.0-4.fc41.x86 100% | 22.0 MiB/s | 539.8 KiB | 00m00s [ 8/154] glibc-minimal-langpack-0:2.40 100% | 5.9 MiB/s | 120.7 KiB | 00m00s [ 9/154] grep-0:3.11-9.fc41.x86_64 100% | 12.9 MiB/s | 289.7 KiB | 00m00s [ 10/154] gawk-0:5.3.0-4.fc41.x86_64 100% | 23.5 MiB/s | 1.1 MiB | 00m00s [ 11/154] gzip-0:1.13-2.fc41.x86_64 100% | 7.6 MiB/s | 164.1 KiB | 00m00s [ 12/154] info-0:7.1.1-2.fc42.x86_64 100% | 9.4 MiB/s | 183.2 KiB | 00m00s [ 13/154] patch-0:2.7.6-25.fc41.x86_64 100% | 6.4 MiB/s | 131.0 KiB | 00m00s [ 14/154] redhat-rpm-config-0:296-1.fc4 100% | 3.7 MiB/s | 75.7 KiB | 00m00s [ 15/154] sed-0:4.9-3.fc41.x86_64 100% | 12.6 MiB/s | 309.3 KiB | 00m00s [ 16/154] rpm-build-0:4.20.0-1.fc42.x86 100% | 1.8 MiB/s | 75.7 KiB | 00m00s [ 17/154] tar-2:1.35-4.fc41.x86_64 100% | 30.8 MiB/s | 852.1 KiB | 00m00s [ 18/154] unzip-0:6.0-65.fc42.x86_64 100% | 8.6 MiB/s | 184.5 KiB | 00m00s [ 19/154] shadow-utils-2:4.16.0-7.fc42. 100% | 20.6 MiB/s | 1.3 MiB | 00m00s [ 20/154] which-0:2.21-42.fc41.x86_64 100% | 2.4 MiB/s | 41.6 KiB | 00m00s [ 21/154] xz-1:5.6.3-2.fc42.x86_64 100% | 16.7 MiB/s | 461.7 KiB | 00m00s [ 22/154] util-linux-0:2.40.2-8.fc42.x8 100% | 24.3 MiB/s | 1.1 MiB | 00m00s [ 23/154] fedora-repos-0:42-0.3.noarch 100% | 328.3 KiB/s | 9.2 KiB | 00m00s [ 24/154] coreutils-common-0:9.5-11.fc4 100% | 35.5 MiB/s | 2.1 MiB | 00m00s [ 25/154] glibc-common-0:2.40.9000-21.f 100% | 12.7 MiB/s | 389.7 KiB | 00m00s [ 26/154] xz-libs-1:5.6.3-2.fc42.x86_64 100% | 5.2 MiB/s | 111.9 KiB | 00m00s [ 27/154] fedora-gpg-keys-0:42-0.3.noar 100% | 6.3 MiB/s | 123.4 KiB | 00m00s [ 28/154] fedora-repos-rawhide-0:42-0.3 100% | 547.7 KiB/s | 8.8 KiB | 00m00s [ 29/154] bzip2-libs-0:1.0.8-19.fc41.x8 100% | 2.1 MiB/s | 41.1 KiB | 00m00s [ 30/154] glibc-0:2.40.9000-21.fc42.x86 100% | 22.5 MiB/s | 2.2 MiB | 00m00s [ 31/154] libselinux-0:3.8-0.rc1.1.fc42 100% | 7.2 MiB/s | 96.5 KiB | 00m00s [ 32/154] glibc-gconv-extra-0:2.40.9000 100% | 37.7 MiB/s | 1.5 MiB | 00m00s [ 33/154] libsepol-0:3.8-0.rc1.1.fc42.x 100% | 21.1 MiB/s | 346.2 KiB | 00m00s [ 34/154] audit-libs-0:4.0.2-1.fc42.x86 100% | 10.3 MiB/s | 126.7 KiB | 00m00s [ 35/154] libacl-0:2.3.2-2.fc41.x86_64 100% | 1.0 MiB/s | 24.5 KiB | 00m00s [ 36/154] libeconf-0:0.7.4-3.fc42.x86_6 100% | 1.4 MiB/s | 34.6 KiB | 00m00s [ 37/154] libsemanage-0:3.8-0.rc1.1.fc4 100% | 5.2 MiB/s | 123.5 KiB | 00m00s [ 38/154] libxcrypt-0:4.4.36-11.fc42.x8 100% | 5.8 MiB/s | 118.1 KiB | 00m00s [ 39/154] pam-libs-0:1.7.0-3.fc42.x86_6 100% | 3.1 MiB/s | 58.0 KiB | 00m00s [ 40/154] pam-0:1.7.0-3.fc42.x86_64 100% | 23.0 MiB/s | 517.9 KiB | 00m00s [ 41/154] libattr-0:2.5.2-4.fc41.x86_64 100% | 956.4 KiB/s | 18.2 KiB | 00m00s [ 42/154] setup-0:2.15.0-5.fc41.noarch 100% | 7.2 MiB/s | 148.3 KiB | 00m00s [ 43/154] build-reproducibility-srpm-ma 100% | 698.7 KiB/s | 11.2 KiB | 00m00s [ 44/154] ansible-srpm-macros-0:1-16.fc 100% | 1.2 MiB/s | 20.8 KiB | 00m00s [ 45/154] forge-srpm-macros-0:0.4.0-1.f 100% | 1.1 MiB/s | 19.8 KiB | 00m00s [ 46/154] dwz-0:0.15-8.fc42.x86_64 100% | 6.8 MiB/s | 139.1 KiB | 00m00s [ 47/154] add-determinism-0:0.4.3-1.fc4 100% | 30.5 MiB/s | 904.4 KiB | 00m00s [ 48/154] ghc-srpm-macros-0:1.9.2-1.fc4 100% | 536.3 KiB/s | 9.1 KiB | 00m00s [ 49/154] pyproject-srpm-macros-0:1.16. 100% | 866.8 KiB/s | 13.9 KiB | 00m00s [ 50/154] python-srpm-macros-0:3.13-3.f 100% | 1.4 MiB/s | 23.7 KiB | 00m00s [ 51/154] rust-srpm-macros-0:26.3-3.fc4 100% | 1.5 MiB/s | 12.7 KiB | 00m00s [ 52/154] qt5-srpm-macros-0:5.15.15-1.f 100% | 523.4 KiB/s | 8.9 KiB | 00m00s [ 53/154] qt6-srpm-macros-0:6.8.0-1.fc4 100% | 532.3 KiB/s | 9.0 KiB | 00m00s [ 54/154] file-0:5.45-8.fc42.x86_64 100% | 5.3 MiB/s | 49.1 KiB | 00m00s [ 55/154] efi-srpm-macros-0:5-13.fc42.n 100% | 1.3 MiB/s | 22.5 KiB | 00m00s [ 56/154] fonts-srpm-macros-1:2.0.5-17. 100% | 1.5 MiB/s | 27.0 KiB | 00m00s [ 57/154] gnat-srpm-macros-0:6-6.fc41.n 100% | 526.6 KiB/s | 9.0 KiB | 00m00s [ 58/154] fpc-srpm-macros-0:1.3-13.fc41 100% | 442.3 KiB/s | 8.0 KiB | 00m00s [ 59/154] go-srpm-macros-0:3.6.0-5.fc42 100% | 1.6 MiB/s | 28.0 KiB | 00m00s [ 60/154] lua-srpm-macros-0:1-14.fc41.n 100% | 522.3 KiB/s | 8.9 KiB | 00m00s [ 61/154] kernel-srpm-macros-0:1.0-24.f 100% | 580.5 KiB/s | 9.9 KiB | 00m00s [ 62/154] ocaml-srpm-macros-0:10-3.fc41 100% | 575.0 KiB/s | 9.2 KiB | 00m00s [ 63/154] openblas-srpm-macros-0:2-18.f 100% | 482.2 KiB/s | 7.7 KiB | 00m00s [ 64/154] package-notes-srpm-macros-0:0 100% | 578.2 KiB/s | 9.8 KiB | 00m00s [ 65/154] perl-srpm-macros-0:1-56.fc41. 100% | 532.0 KiB/s | 8.5 KiB | 00m00s [ 66/154] zig-srpm-macros-0:1-3.fc41.no 100% | 507.7 KiB/s | 8.1 KiB | 00m00s [ 67/154] rpm-0:4.20.0-1.fc42.x86_64 100% | 31.7 MiB/s | 519.8 KiB | 00m00s [ 68/154] zip-0:3.0-41.fc41.x86_64 100% | 10.3 MiB/s | 264.8 KiB | 00m00s [ 69/154] ed-0:1.20.2-2.fc41.x86_64 100% | 4.7 MiB/s | 81.8 KiB | 00m00s [ 70/154] authselect-0:1.5.0-8.fc42.x86 100% | 7.7 MiB/s | 141.2 KiB | 00m00s [ 71/154] authselect-libs-0:1.5.0-8.fc4 100% | 10.5 MiB/s | 204.7 KiB | 00m00s [ 72/154] libtirpc-0:1.3.6-1.fc42.x86_6 100% | 4.9 MiB/s | 94.9 KiB | 00m00s [ 73/154] gdbm-1:1.23-7.fc41.x86_64 100% | 6.3 MiB/s | 147.2 KiB | 00m00s [ 74/154] gdbm-libs-1:1.23-7.fc41.x86_6 100% | 1.8 MiB/s | 56.3 KiB | 00m00s [ 75/154] libnsl2-0:2.0.1-2.fc41.x86_64 100% | 897.3 KiB/s | 29.6 KiB | 00m00s [ 76/154] libpwquality-0:1.4.5-11.fc41. 100% | 3.8 MiB/s | 108.2 KiB | 00m00s [ 77/154] crypto-policies-0:20241128-1. 100% | 2.8 MiB/s | 73.7 KiB | 00m00s [ 78/154] ca-certificates-0:2024.2.69_v 100% | 22.5 MiB/s | 944.5 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MiB/s | 125.5 KiB | 00m00s [105/154] popt-0:1.19-7.fc41.x86_64 100% | 3.2 MiB/s | 59.3 KiB | 00m00s [106/154] libfdisk-0:2.40.2-8.fc42.x86_ 100% | 15.6 MiB/s | 160.1 KiB | 00m00s [107/154] libmount-0:2.40.2-8.fc42.x86_ 100% | 17.0 MiB/s | 156.6 KiB | 00m00s [108/154] pcre2-0:10.44-1.fc41.1.x86_64 100% | 1.0 MiB/s | 243.1 KiB | 00m00s [109/154] libsmartcols-0:2.40.2-8.fc42. 100% | 9.2 MiB/s | 84.4 KiB | 00m00s [110/154] libuuid-0:2.40.2-8.fc42.x86_6 100% | 3.6 MiB/s | 29.5 KiB | 00m00s [111/154] libcap-ng-0:0.8.5-3.fc41.x86_ 100% | 1.8 MiB/s | 32.6 KiB | 00m00s [112/154] util-linux-core-0:2.40.2-8.fc 100% | 36.4 MiB/s | 522.0 KiB | 00m00s [113/154] jansson-0:2.14-1.fc42.x86_64 100% | 1.3 MiB/s | 45.3 KiB | 00m00s [114/154] debugedit-0:5.1-2.fc42.x86_64 100% | 2.3 MiB/s | 78.2 KiB | 00m00s [115/154] pkgconf-pkg-config-0:2.3.0-1. 100% | 345.2 KiB/s | 10.0 KiB | 00m00s [116/154] libarchive-0:3.7.7-1.fc42.x86 100% | 12.2 MiB/s | 413.9 KiB | 00m00s [117/154] pkgconf-0:2.3.0-1.fc42.x86_64 100% | 2.3 MiB/s | 45.2 KiB | 00m00s [118/154] pkgconf-m4-0:2.3.0-1.fc42.noa 100% | 753.8 KiB/s | 14.3 KiB | 00m00s [119/154] libpkgconf-0:2.3.0-1.fc42.x86 100% | 2.0 MiB/s | 38.5 KiB | 00m00s [120/154] rpm-build-libs-0:4.20.0-1.fc4 100% | 9.7 MiB/s | 99.2 KiB | 00m00s [121/154] zstd-0:1.5.6-2.fc41.x86_64 100% | 16.2 MiB/s | 481.5 KiB | 00m00s [122/154] rpm-libs-0:4.20.0-1.fc42.x86_ 100% | 23.3 MiB/s | 310.0 KiB | 00m00s [123/154] curl-0:8.10.1-2.fc42.x86_64 100% | 9.8 MiB/s | 221.3 KiB | 00m00s [124/154] file-libs-0:5.45-8.fc42.x86_6 100% | 35.5 MiB/s | 764.1 KiB | 00m00s [125/154] lz4-libs-0:1.10.0-1.fc41.x86_ 100% | 3.8 MiB/s | 70.7 KiB | 00m00s [126/154] libstdc++-0:14.2.1-6.fc42.x86 100% | 27.2 MiB/s | 890.1 KiB | 00m00s [127/154] alternatives-0:1.30-1.fc41.x8 100% | 2.4 MiB/s | 42.5 KiB | 00m00s [128/154] libtasn1-0:4.19.0-9.fc41.x86_ 100% | 4.0 MiB/s | 74.2 KiB | 00m00s [129/154] libxml2-0:2.12.8-2.fc41.x86_6 100% | 23.1 MiB/s | 687.3 KiB | 00m00s [130/154] libzstd-0:1.5.6-2.fc41.x86_64 100% | 12.1 MiB/s | 310.3 KiB | 00m00s [131/154] elfutils-default-yama-scope-0 100% | 733.2 KiB/s | 12.5 KiB | 00m00s [132/154] json-c-0:0.18-1.fc42.x86_64 100% | 2.2 MiB/s | 44.4 KiB | 00m00s [133/154] lua-libs-0:5.4.7-1.fc42.x86_6 100% | 5.6 MiB/s | 132.1 KiB | 00m00s [134/154] rpm-sequoia-0:1.7.0-2.fc41.x8 100% | 24.9 MiB/s | 892.5 KiB | 00m00s [135/154] binutils-0:2.43.50-9.fc42.x86 100% | 19.7 MiB/s | 5.8 MiB | 00m00s [136/154] sqlite-libs-0:3.47.1-1.fc42.x 100% | 22.8 MiB/s | 699.5 KiB | 00m00s [137/154] libgomp-0:14.2.1-6.fc42.x86_6 100% | 10.6 MiB/s | 356.9 KiB | 00m00s [138/154] fedora-release-0:42-0.9.noarc 100% | 640.5 KiB/s | 12.8 KiB | 00m00s [139/154] fedora-release-identity-basic 100% | 801.1 KiB/s | 13.6 KiB | 00m00s [140/154] libnghttp2-0:1.64.0-1.fc42.x8 100% | 4.2 MiB/s | 77.4 KiB | 00m00s [141/154] libcurl-0:8.10.1-2.fc42.x86_6 100% | 13.4 MiB/s | 371.3 KiB | 00m00s [142/154] libssh-0:0.11.1-1.fc42.x86_64 100% | 11.3 MiB/s | 231.9 KiB | 00m00s [143/154] libssh-config-0:0.11.1-1.fc42 100% | 494.0 KiB/s | 9.4 KiB | 00m00s [144/154] xxhash-libs-0:0.8.2-4.fc42.x8 100% | 565.7 KiB/s | 36.8 KiB | 00m00s [145/154] libbrotli-0:1.1.0-5.fc41.x86_ 100% | 4.9 MiB/s | 340.5 KiB | 00m00s [146/154] libidn2-0:2.3.7-2.fc41.x86_64 100% | 4.6 MiB/s | 112.6 KiB | 00m00s [147/154] gdb-minimal-0:15.2-3.fc42.x86 100% | 44.4 MiB/s | 4.3 MiB | 00m00s [148/154] libpsl-0:0.21.5-4.fc41.x86_64 100% | 3.1 MiB/s | 64.1 KiB | 00m00s [149/154] openldap-0:2.6.8-5.fc41.x86_6 100% | 12.5 MiB/s | 255.6 KiB | 00m00s [150/154] libevent-0:2.1.12-14.fc41.x86 100% | 13.2 MiB/s | 257.5 KiB | 00m00s [151/154] libtool-ltdl-0:2.4.7-12.fc41. 100% | 2.0 MiB/s | 35.6 KiB | 00m00s [152/154] cyrus-sasl-lib-0:2.1.28-27.fc 100% | 17.6 MiB/s | 794.9 KiB | 00m00s [153/154] libunistring-0:1.1-8.fc41.x86 100% | 18.3 MiB/s | 544.8 KiB | 00m00s [154/154] publicsuffix-list-dafsa-0:202 100% | 2.8 MiB/s | 58.3 KiB | 00m00s -------------------------------------------------------------------------------- [154/154] Total 100% | 33.2 MiB/s | 51.9 MiB | 00m02s Running transaction [ 1/156] Verify package files 100% | 758.0 B/s | 154.0 B | 00m00s >>> Running pre-transaction scriptlet: filesystem-0:3.18-29.fc42.x86_64 >>> Finished pre-transaction scriptlet: filesystem-0:3.18-29.fc42.x86_64 >>> [RPM] /var/lib/mock/fedora-40-x86_64-1733216357.990167/root/var/cache/dnf/co [ 2/156] Prepare transaction 100% | 1.8 KiB/s | 154.0 B | 00m00s [ 3/156] Installing libgcc-0:14.2.1-6. 100% | 132.9 MiB/s | 272.3 KiB | 00m00s [ 4/156] Installing publicsuffix-list- 100% | 66.7 MiB/s | 68.3 KiB | 00m00s [ 5/156] Installing libssh-config-0:0. 100% | 0.0 B/s | 816.0 B | 00m00s [ 6/156] Installing fedora-release-ide 100% | 0.0 B/s | 976.0 B | 00m00s [ 7/156] Installing fedora-repos-rawhi 100% | 2.4 MiB/s | 2.4 KiB | 00m00s [ 8/156] Installing fedora-gpg-keys-0: 100% | 18.7 MiB/s | 172.2 KiB | 00m00s [ 9/156] Installing fedora-repos-0:42- 100% | 0.0 B/s | 5.7 KiB | 00m00s [ 10/156] Installing fedora-release-com 100% | 5.9 MiB/s | 24.0 KiB | 00m00s [ 11/156] Installing fedora-release-0:4 100% | 0.0 B/s | 124.0 B | 00m00s [ 12/156] Installing setup-0:2.15.0-5.f 100% | 47.3 MiB/s | 726.1 KiB | 00m00s >>> [RPM] /etc/hosts created as /etc/hosts.rpmnew [ 13/156] Installing filesystem-0:3.18- 100% | 1.4 MiB/s | 212.6 KiB | 00m00s [ 14/156] Installing basesystem-0:11-21 100% | 0.0 B/s | 124.0 B | 00m00s [ 15/156] Installing pkgconf-m4-0:2.3.0 100% | 14.5 MiB/s | 14.8 KiB | 00m00s [ 16/156] Installing pcre2-syntax-0:10. 100% | 82.7 MiB/s | 254.1 KiB | 00m00s [ 17/156] Installing ncurses-base-0:6.5 100% | 31.2 MiB/s | 351.7 KiB | 00m00s [ 18/156] Installing glibc-minimal-lang 100% | 0.0 B/s | 124.0 B | 00m00s [ 19/156] Installing ncurses-libs-0:6.5 100% | 106.5 MiB/s | 981.8 KiB | 00m00s [ 20/156] Installing glibc-0:2.40.9000- 100% | 87.6 MiB/s | 6.7 MiB | 00m00s [ 21/156] Installing bash-0:5.2.37-1.fc 100% | 108.9 MiB/s | 8.2 MiB | 00m00s [ 22/156] Installing glibc-common-0:2.4 100% | 104.2 MiB/s | 1.0 MiB | 00m00s [ 23/156] Installing glibc-gconv-extra- 100% | 88.8 MiB/s | 8.1 MiB | 00m00s [ 24/156] Installing zlib-ng-compat-0:2 100% | 131.7 MiB/s | 134.9 KiB | 00m00s [ 25/156] Installing xz-libs-1:5.6.3-2. 100% | 107.2 MiB/s | 219.5 KiB | 00m00s [ 26/156] Installing bzip2-libs-0:1.0.8 100% | 79.9 MiB/s | 81.8 KiB | 00m00s [ 27/156] Installing readline-0:8.2-11. 100% | 161.2 MiB/s | 495.3 KiB | 00m00s [ 28/156] Installing popt-0:1.19-7.fc41 100% | 28.0 MiB/s | 143.5 KiB | 00m00s [ 29/156] Installing libuuid-0:2.40.2-8 100% | 41.5 MiB/s | 42.5 KiB | 00m00s [ 30/156] Installing libblkid-0:2.40.2- 100% | 128.7 MiB/s | 263.6 KiB | 00m00s [ 31/156] Installing libxcrypt-0:4.4.36 100% | 89.2 MiB/s | 274.1 KiB | 00m00s [ 32/156] Installing libattr-0:2.5.2-4. 100% | 28.8 MiB/s | 29.5 KiB | 00m00s [ 33/156] Installing libacl-0:2.3.2-2.f 100% | 39.8 MiB/s | 40.7 KiB | 00m00s [ 34/156] Installing gmp-1:6.3.0-2.fc41 100% | 9.2 MiB/s | 813.7 KiB | 00m00s [ 35/156] Installing libstdc++-0:14.2.1 100% | 172.5 MiB/s | 2.8 MiB | 00m00s [ 36/156] Installing libzstd-0:1.5.6-2. 100% | 155.7 MiB/s | 797.2 KiB | 00m00s [ 37/156] Installing elfutils-libelf-0: 100% | 145.9 MiB/s | 1.2 MiB | 00m00s [ 38/156] Installing libeconf-0:0.7.4-3 100% | 65.8 MiB/s | 67.4 KiB | 00m00s [ 39/156] Installing gdbm-libs-1:1.23-7 100% | 120.7 MiB/s | 123.6 KiB | 00m00s [ 40/156] Installing dwz-0:0.15-8.fc42. 100% | 146.8 MiB/s | 300.6 KiB | 00m00s [ 41/156] Installing mpfr-0:4.2.1-5.fc4 100% | 135.7 MiB/s | 833.7 KiB | 00m00s [ 42/156] Installing gawk-0:5.3.0-4.fc4 100% | 133.2 MiB/s | 1.7 MiB | 00m00s [ 43/156] Installing unzip-0:6.0-65.fc4 100% | 130.8 MiB/s | 401.7 KiB | 00m00s [ 44/156] Installing file-libs-0:5.45-8 100% | 122.7 MiB/s | 9.9 MiB | 00m00s [ 45/156] Installing file-0:5.45-8.fc42 100% | 4.9 MiB/s | 105.2 KiB | 00m00s [ 46/156] Installing crypto-policies-0: 100% | 7.3 MiB/s | 163.7 KiB | 00m00s [ 47/156] Installing libsepol-0:3.8-0.r 100% | 200.9 MiB/s | 823.0 KiB | 00m00s [ 48/156] Installing libcom_err-0:1.47. 100% | 66.7 MiB/s | 68.3 KiB | 00m00s [ 49/156] Installing pcre2-0:10.44-1.fc 100% | 127.9 MiB/s | 654.9 KiB | 00m00s [ 50/156] Installing libselinux-0:3.8-0 100% | 96.8 MiB/s | 198.3 KiB | 00m00s [ 51/156] Installing sed-0:4.9-3.fc41.x 100% | 94.4 MiB/s | 869.7 KiB | 00m00s [ 52/156] Installing findutils-1:4.10.0 100% | 132.7 MiB/s | 1.9 MiB | 00m00s [ 53/156] Installing grep-0:3.11-9.fc41 100% | 91.2 MiB/s | 1.0 MiB | 00m00s [ 54/156] Installing xz-1:5.6.3-2.fc42. 100% | 68.7 MiB/s | 1.2 MiB | 00m00s [ 55/156] Installing libmount-0:2.40.2- 100% | 174.3 MiB/s | 356.9 KiB | 00m00s [ 56/156] Installing libffi-0:3.4.6-3.f 100% | 85.7 MiB/s | 87.8 KiB | 00m00s [ 57/156] Installing libsmartcols-0:2.4 100% | 59.0 MiB/s | 181.4 KiB | 00m00s [ 58/156] Installing libcap-ng-0:0.8.5- 100% | 69.4 MiB/s | 71.0 KiB | 00m00s [ 59/156] Installing audit-libs-0:4.0.2 100% | 162.8 MiB/s | 333.4 KiB | 00m00s [ 60/156] Installing pam-libs-0:1.7.0-3 100% | 46.2 MiB/s | 141.8 KiB | 00m00s [ 61/156] Installing libcap-0:2.71-1.fc 100% | 52.7 MiB/s | 215.8 KiB | 00m00s [ 62/156] Installing systemd-libs-0:257 100% | 150.9 MiB/s | 2.3 MiB | 00m00s [ 63/156] Installing lz4-libs-0:1.10.0- 100% | 143.1 MiB/s | 146.6 KiB | 00m00s [ 64/156] Installing alternatives-0:1.3 100% | 66.3 MiB/s | 67.9 KiB | 00m00s [ 65/156] Installing libtasn1-0:4.19.0- 100% | 86.7 MiB/s | 177.5 KiB | 00m00s [ 66/156] Installing p11-kit-0:0.25.5-4 100% | 116.6 MiB/s | 2.2 MiB | 00m00s [ 67/156] Installing lua-libs-0:5.4.7-1 100% | 34.9 MiB/s | 286.2 KiB | 00m00s [ 68/156] Installing libunistring-0:1.1 100% | 25.1 MiB/s | 1.7 MiB | 00m00s [ 69/156] Installing libidn2-0:2.3.7-2. 100% | 65.4 MiB/s | 335.1 KiB | 00m00s [ 70/156] Installing libpsl-0:0.21.5-4. 100% | 79.7 MiB/s | 81.7 KiB | 00m00s [ 71/156] Installing p11-kit-trust-0:0. 100% | 17.2 MiB/s | 405.5 KiB | 00m00s [ 72/156] Installing zstd-0:1.5.6-2.fc4 100% | 169.2 MiB/s | 1.7 MiB | 00m00s [ 73/156] Installing util-linux-core-0: 100% | 61.1 MiB/s | 1.5 MiB | 00m00s [ 74/156] Installing libsemanage-0:3.8- 100% | 61.4 MiB/s | 314.1 KiB | 00m00s [ 75/156] Installing shadow-utils-2:4.1 100% | 85.3 MiB/s | 4.1 MiB | 00m00s [ 76/156] Installing tar-2:1.35-4.fc41. 100% | 59.2 MiB/s | 3.0 MiB | 00m00s [ 77/156] Installing zip-0:3.0-41.fc41. 100% | 138.1 MiB/s | 707.1 KiB | 00m00s [ 78/156] Installing gdbm-1:1.23-7.fc41 100% | 30.3 MiB/s | 465.8 KiB | 00m00s [ 79/156] Installing cyrus-sasl-lib-0:2 100% | 192.2 MiB/s | 2.3 MiB | 00m00s [ 80/156] Installing libfdisk-0:2.40.2- 100% | 177.7 MiB/s | 364.0 KiB | 00m00s [ 81/156] Installing bzip2-0:1.0.8-19.f 100% | 48.9 MiB/s | 100.2 KiB | 00m00s [ 82/156] Installing libxml2-0:2.12.8-2 100% | 190.2 MiB/s | 1.7 MiB | 00m00s [ 83/156] Installing add-determinism-0: 100% | 135.1 MiB/s | 2.4 MiB | 00m00s [ 84/156] Installing build-reproducibil 100% | 0.0 B/s | 1.0 KiB | 00m00s [ 85/156] Installing sqlite-libs-0:3.47 100% | 179.2 MiB/s | 1.4 MiB | 00m00s [ 86/156] Installing ed-0:1.20.2-2.fc41 100% | 48.6 MiB/s | 149.2 KiB | 00m00s [ 87/156] Installing patch-0:2.7.6-25.f 100% | 131.0 MiB/s | 268.2 KiB | 00m00s [ 88/156] Installing elfutils-default-y 100% | 136.2 KiB/s | 2.0 KiB | 00m00s [ 89/156] Installing elfutils-libs-0:0. 100% | 162.3 MiB/s | 664.7 KiB | 00m00s [ 90/156] Installing cpio-0:2.15-2.fc41 100% | 68.7 MiB/s | 1.1 MiB | 00m00s [ 91/156] Installing diffutils-0:3.10-8 100% | 72.3 MiB/s | 1.6 MiB | 00m00s [ 92/156] Installing keyutils-libs-0:1. 100% | 54.5 MiB/s | 55.8 KiB | 00m00s [ 93/156] Installing libverto-0:0.3.2-9 100% | 30.5 MiB/s | 31.3 KiB | 00m00s [ 94/156] Installing jansson-0:2.14-1.f 100% | 5.1 MiB/s | 94.5 KiB | 00m00s [ 95/156] Installing libpkgconf-0:2.3.0 100% | 77.5 MiB/s | 79.3 KiB | 00m00s [ 96/156] Installing pkgconf-0:2.3.0-1. 100% | 44.5 MiB/s | 91.1 KiB | 00m00s [ 97/156] Installing pkgconf-pkg-config 100% | 1.7 MiB/s | 1.8 KiB | 00m00s [ 98/156] Installing json-c-0:0.18-1.fc 100% | 82.6 MiB/s | 84.6 KiB | 00m00s [ 99/156] Installing libgomp-0:14.2.1-6 100% | 169.7 MiB/s | 521.2 KiB | 00m00s [100/156] Installing libnghttp2-0:1.64. 100% | 57.2 MiB/s | 175.6 KiB | 00m00s [101/156] Installing xxhash-libs-0:0.8. 100% | 87.7 MiB/s | 89.8 KiB | 00m00s [102/156] Installing libbrotli-0:1.1.0- 100% | 164.0 MiB/s | 839.9 KiB | 00m00s [103/156] Installing libtool-ltdl-0:2.4 100% | 32.9 MiB/s | 67.3 KiB | 00m00s [104/156] Installing perl-srpm-macros-0 100% | 0.0 B/s | 1.1 KiB | 00m00s [105/156] Installing package-notes-srpm 100% | 1.0 MiB/s | 2.0 KiB | 00m00s [106/156] Installing openblas-srpm-macr 100% | 0.0 B/s | 392.0 B | 00m00s [107/156] Installing ocaml-srpm-macros- 100% | 0.0 B/s | 2.2 KiB | 00m00s [108/156] Installing kernel-srpm-macros 100% | 0.0 B/s | 2.3 KiB | 00m00s [109/156] Installing gnat-srpm-macros-0 100% | 0.0 B/s | 1.3 KiB | 00m00s [110/156] Installing fpc-srpm-macros-0: 100% | 0.0 B/s | 420.0 B | 00m00s [111/156] Installing rust-srpm-macros-0 100% | 5.4 MiB/s | 5.6 KiB | 00m00s [112/156] Installing qt6-srpm-macros-0: 100% | 0.0 B/s | 732.0 B | 00m00s [113/156] Installing qt5-srpm-macros-0: 100% | 0.0 B/s | 776.0 B | 00m00s [114/156] Installing ghc-srpm-macros-0: 100% | 0.0 B/s | 1.0 KiB | 00m00s [115/156] Installing ansible-srpm-macro 100% | 35.4 MiB/s | 36.2 KiB | 00m00s [116/156] Installing coreutils-common-0 100% | 149.2 MiB/s | 11.2 MiB | 00m00s [117/156] Installing openssl-libs-1:3.2 100% | 170.2 MiB/s | 7.8 MiB | 00m00s [118/156] Installing coreutils-0:9.5-11 100% | 90.0 MiB/s | 5.4 MiB | 00m00s [119/156] Installing ca-certificates-0: 100% | 1.0 MiB/s | 2.4 MiB | 00m02s [120/156] Installing krb5-libs-0:1.21.3 100% | 144.1 MiB/s | 2.3 MiB | 00m00s [121/156] Installing libarchive-0:3.7.7 100% | 152.1 MiB/s | 934.2 KiB | 00m00s [122/156] Installing libtirpc-0:1.3.6-1 100% | 101.2 MiB/s | 207.3 KiB | 00m00s [123/156] Installing gzip-0:1.13-2.fc41 100% | 77.1 MiB/s | 394.6 KiB | 00m00s [124/156] Installing authselect-libs-0: 100% | 54.5 MiB/s | 837.2 KiB | 00m00s [125/156] Installing cracklib-0:2.9.11- 100% | 27.2 MiB/s | 250.3 KiB | 00m00s [126/156] Installing libpwquality-0:1.4 100% | 21.0 MiB/s | 430.1 KiB | 00m00s [127/156] Installing libnsl2-0:2.0.1-2. 100% | 28.8 MiB/s | 59.1 KiB | 00m00s [128/156] Installing pam-0:1.7.0-3.fc42 100% | 63.1 MiB/s | 1.9 MiB | 00m00s [129/156] Installing libssh-0:0.11.1-1. 100% | 139.6 MiB/s | 571.7 KiB | 00m00s [130/156] Installing rpm-sequoia-0:1.7. 100% | 148.0 MiB/s | 2.4 MiB | 00m00s [131/156] Installing rpm-libs-0:4.20.0- 100% | 142.1 MiB/s | 727.7 KiB | 00m00s [132/156] Installing rpm-build-libs-0:4 100% | 67.5 MiB/s | 207.5 KiB | 00m00s [133/156] Installing libevent-0:2.1.12- 100% | 125.5 MiB/s | 899.5 KiB | 00m00s [134/156] Installing openldap-0:2.6.8-5 100% | 79.1 MiB/s | 648.0 KiB | 00m00s [135/156] Installing libcurl-0:8.10.1-2 100% | 164.0 MiB/s | 839.5 KiB | 00m00s [136/156] Installing elfutils-debuginfo 100% | 40.9 MiB/s | 83.8 KiB | 00m00s [137/156] Installing elfutils-0:0.192-7 100% | 146.9 MiB/s | 2.6 MiB | 00m00s [138/156] Installing binutils-0:2.43.50 100% | 134.4 MiB/s | 25.8 MiB | 00m00s [139/156] Installing gdb-minimal-0:15.2 100% | 121.4 MiB/s | 13.0 MiB | 00m00s [140/156] Installing debugedit-0:5.1-2. 100% | 39.7 MiB/s | 203.0 KiB | 00m00s [141/156] Installing curl-0:8.10.1-2.fc 100% | 17.8 MiB/s | 455.8 KiB | 00m00s [142/156] Installing rpm-0:4.20.0-1.fc4 100% | 58.3 MiB/s | 2.5 MiB | 00m00s [143/156] Installing efi-srpm-macros-0: 100% | 40.2 MiB/s | 41.2 KiB | 00m00s [144/156] Installing lua-srpm-macros-0: 100% | 1.9 MiB/s | 1.9 KiB | 00m00s [145/156] Installing zig-srpm-macros-0: 100% | 1.6 MiB/s | 1.7 KiB | 00m00s [146/156] Installing forge-srpm-macros- 100% | 39.3 MiB/s | 40.3 KiB | 00m00s [147/156] Installing python-srpm-macros 100% | 50.9 MiB/s | 52.2 KiB | 00m00s [148/156] Installing fonts-srpm-macros- 100% | 55.7 MiB/s | 57.0 KiB | 00m00s [149/156] Installing go-srpm-macros-0:3 100% | 60.5 MiB/s | 62.0 KiB | 00m00s [150/156] Installing redhat-rpm-config- 100% | 31.5 MiB/s | 193.2 KiB | 00m00s [151/156] Installing rpm-build-0:4.20.0 100% | 39.6 MiB/s | 202.9 KiB | 00m00s [152/156] Installing pyproject-srpm-mac 100% | 1.2 MiB/s | 2.5 KiB | 00m00s [153/156] Installing util-linux-0:2.40. 100% | 68.8 MiB/s | 3.7 MiB | 00m00s [154/156] Installing authselect-0:1.5.0 100% | 26.4 MiB/s | 161.9 KiB | 00m00s [155/156] Installing which-0:2.21-42.fc 100% | 40.2 MiB/s | 82.4 KiB | 00m00s [156/156] Installing info-0:7.1.1-2.fc4 100% | 122.3 KiB/s | 362.2 KiB | 00m03s Warning: skipped PGP checks for 154 packages from repositories: copr_base, http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch Complete! Finish: installing minimal buildroot with dnf5 Start: creating root cache Finish: creating root cache Finish: chroot init INFO: Installed packages: INFO: add-determinism-0.4.3-1.fc42.x86_64 alternatives-1.30-1.fc41.x86_64 ansible-srpm-macros-1-16.fc41.noarch audit-libs-4.0.2-1.fc42.x86_64 authselect-1.5.0-8.fc42.x86_64 authselect-libs-1.5.0-8.fc42.x86_64 basesystem-11-21.fc41.noarch bash-5.2.37-1.fc42.x86_64 binutils-2.43.50-9.fc42.x86_64 build-reproducibility-srpm-macros-0.4.3-1.fc42.noarch bzip2-1.0.8-19.fc41.x86_64 bzip2-libs-1.0.8-19.fc41.x86_64 ca-certificates-2024.2.69_v8.0.401-3.fc42.noarch coreutils-9.5-11.fc42.x86_64 coreutils-common-9.5-11.fc42.x86_64 cpio-2.15-2.fc41.x86_64 cracklib-2.9.11-6.fc41.x86_64 crypto-policies-20241128-1.gitbb7b0b0.fc42.noarch curl-8.10.1-2.fc42.x86_64 cyrus-sasl-lib-2.1.28-27.fc41.x86_64 debugedit-5.1-2.fc42.x86_64 diffutils-3.10-8.fc41.x86_64 dwz-0.15-8.fc42.x86_64 ed-1.20.2-2.fc41.x86_64 efi-srpm-macros-5-13.fc42.noarch elfutils-0.192-7.fc42.x86_64 elfutils-debuginfod-client-0.192-7.fc42.x86_64 elfutils-default-yama-scope-0.192-7.fc42.noarch elfutils-libelf-0.192-7.fc42.x86_64 elfutils-libs-0.192-7.fc42.x86_64 fedora-gpg-keys-42-0.3.noarch fedora-release-42-0.9.noarch fedora-release-common-42-0.9.noarch fedora-release-identity-basic-42-0.9.noarch fedora-repos-42-0.3.noarch fedora-repos-rawhide-42-0.3.noarch file-5.45-8.fc42.x86_64 file-libs-5.45-8.fc42.x86_64 filesystem-3.18-29.fc42.x86_64 findutils-4.10.0-4.fc41.x86_64 fonts-srpm-macros-2.0.5-17.fc41.noarch forge-srpm-macros-0.4.0-1.fc42.noarch fpc-srpm-macros-1.3-13.fc41.noarch gawk-5.3.0-4.fc41.x86_64 gdb-minimal-15.2-3.fc42.x86_64 gdbm-1.23-7.fc41.x86_64 gdbm-libs-1.23-7.fc41.x86_64 ghc-srpm-macros-1.9.2-1.fc42.noarch glibc-2.40.9000-21.fc42.x86_64 glibc-common-2.40.9000-21.fc42.x86_64 glibc-gconv-extra-2.40.9000-21.fc42.x86_64 glibc-minimal-langpack-2.40.9000-21.fc42.x86_64 gmp-6.3.0-2.fc41.x86_64 gnat-srpm-macros-6-6.fc41.noarch go-srpm-macros-3.6.0-5.fc42.noarch grep-3.11-9.fc41.x86_64 gzip-1.13-2.fc41.x86_64 info-7.1.1-2.fc42.x86_64 jansson-2.14-1.fc42.x86_64 json-c-0.18-1.fc42.x86_64 kernel-srpm-macros-1.0-24.fc41.noarch keyutils-libs-1.6.3-4.fc41.x86_64 krb5-libs-1.21.3-3.fc42.x86_64 libacl-2.3.2-2.fc41.x86_64 libarchive-3.7.7-1.fc42.x86_64 libattr-2.5.2-4.fc41.x86_64 libblkid-2.40.2-8.fc42.x86_64 libbrotli-1.1.0-5.fc41.x86_64 libcap-2.71-1.fc42.x86_64 libcap-ng-0.8.5-3.fc41.x86_64 libcom_err-1.47.1-6.fc42.x86_64 libcurl-8.10.1-2.fc42.x86_64 libeconf-0.7.4-3.fc42.x86_64 libevent-2.1.12-14.fc41.x86_64 libfdisk-2.40.2-8.fc42.x86_64 libffi-3.4.6-3.fc42.x86_64 libgcc-14.2.1-6.fc42.x86_64 libgomp-14.2.1-6.fc42.x86_64 libidn2-2.3.7-2.fc41.x86_64 libmount-2.40.2-8.fc42.x86_64 libnghttp2-1.64.0-1.fc42.x86_64 libnsl2-2.0.1-2.fc41.x86_64 libpkgconf-2.3.0-1.fc42.x86_64 libpsl-0.21.5-4.fc41.x86_64 libpwquality-1.4.5-11.fc41.x86_64 libselinux-3.8-0.rc1.1.fc42.x86_64 libsemanage-3.8-0.rc1.1.fc42.x86_64 libsepol-3.8-0.rc1.1.fc42.x86_64 libsmartcols-2.40.2-8.fc42.x86_64 libssh-0.11.1-1.fc42.x86_64 libssh-config-0.11.1-1.fc42.noarch libstdc++-14.2.1-6.fc42.x86_64 libtasn1-4.19.0-9.fc41.x86_64 libtirpc-1.3.6-1.fc42.x86_64 libtool-ltdl-2.4.7-12.fc41.x86_64 libunistring-1.1-8.fc41.x86_64 libuuid-2.40.2-8.fc42.x86_64 libverto-0.3.2-9.fc41.x86_64 libxcrypt-4.4.36-11.fc42.x86_64 libxml2-2.12.8-2.fc41.x86_64 libzstd-1.5.6-2.fc41.x86_64 lua-libs-5.4.7-1.fc42.x86_64 lua-srpm-macros-1-14.fc41.noarch lz4-libs-1.10.0-1.fc41.x86_64 mpfr-4.2.1-5.fc41.x86_64 ncurses-base-6.5-2.20240629.fc41.noarch ncurses-libs-6.5-2.20240629.fc41.x86_64 ocaml-srpm-macros-10-3.fc41.noarch openblas-srpm-macros-2-18.fc41.noarch openldap-2.6.8-5.fc41.x86_64 openssl-libs-3.2.2-8.fc42.x86_64 p11-kit-0.25.5-4.fc42.x86_64 p11-kit-trust-0.25.5-4.fc42.x86_64 package-notes-srpm-macros-0.5-12.fc41.noarch pam-1.7.0-3.fc42.x86_64 pam-libs-1.7.0-3.fc42.x86_64 patch-2.7.6-25.fc41.x86_64 pcre2-10.44-1.fc41.1.x86_64 pcre2-syntax-10.44-1.fc41.1.noarch perl-srpm-macros-1-56.fc41.noarch pkgconf-2.3.0-1.fc42.x86_64 pkgconf-m4-2.3.0-1.fc42.noarch pkgconf-pkg-config-2.3.0-1.fc42.x86_64 popt-1.19-7.fc41.x86_64 publicsuffix-list-dafsa-20240107-4.fc41.noarch pyproject-srpm-macros-1.16.2-1.fc42.noarch python-srpm-macros-3.13-3.fc41.noarch qt5-srpm-macros-5.15.15-1.fc42.noarch qt6-srpm-macros-6.8.0-1.fc42.noarch readline-8.2-11.fc42.x86_64 redhat-rpm-config-296-1.fc42.noarch rpm-4.20.0-1.fc42.x86_64 rpm-build-4.20.0-1.fc42.x86_64 rpm-build-libs-4.20.0-1.fc42.x86_64 rpm-libs-4.20.0-1.fc42.x86_64 rpm-sequoia-1.7.0-2.fc41.x86_64 rust-srpm-macros-26.3-3.fc42.noarch sed-4.9-3.fc41.x86_64 setup-2.15.0-5.fc41.noarch shadow-utils-4.16.0-7.fc42.x86_64 sqlite-libs-3.47.1-1.fc42.x86_64 systemd-libs-257~rc3-1.fc42.x86_64 tar-1.35-4.fc41.x86_64 unzip-6.0-65.fc42.x86_64 util-linux-2.40.2-8.fc42.x86_64 util-linux-core-2.40.2-8.fc42.x86_64 which-2.21-42.fc41.x86_64 xxhash-libs-0.8.2-4.fc42.x86_64 xz-5.6.3-2.fc42.x86_64 xz-libs-5.6.3-2.fc42.x86_64 zig-srpm-macros-1-3.fc41.noarch zip-3.0-41.fc41.x86_64 zlib-ng-compat-2.2.2-1.fc42.x86_64 zstd-1.5.6-2.fc41.x86_64 Start: buildsrpm Start: rpmbuild -bs Building target platforms: x86_64 Building for target x86_64 setting SOURCE_DATE_EPOCH=1732665600 Wrote: /builddir/build/SRPMS/python-scikit-learn-1.5.2-6.fc42.src.rpm Finish: rpmbuild -bs INFO: chroot_scan: 1 files copied to /var/lib/copr-rpmbuild/results/chroot_scan INFO: /var/lib/mock/fedora-40-x86_64-1733216357.990167/root/var/log/dnf5.log INFO: chroot_scan: creating tarball /var/lib/copr-rpmbuild/results/chroot_scan.tar.gz /bin/tar: Removing leading `/' from member names Finish: buildsrpm INFO: Done(/var/lib/copr-rpmbuild/workspace/workdir-yigbm314/python-scikit-learn/python-scikit-learn.spec) Config(child) 0 minutes 29 seconds INFO: Results and/or logs in: /var/lib/copr-rpmbuild/results INFO: Cleaning up build root ('cleanup_on_success=True') Start: clean chroot INFO: unmounting tmpfs. Finish: clean chroot INFO: Start(/var/lib/copr-rpmbuild/results/python-scikit-learn-1.5.2-6.fc42.src.rpm) Config(fedora-40-x86_64) Start: chroot init INFO: mounting tmpfs at /var/lib/mock/fedora-40-x86_64-1733216357.990167/root. INFO: calling preinit hooks INFO: enabled root cache Start: unpacking root cache Finish: unpacking root cache INFO: enabled package manager cache Start: cleaning package manager metadata Finish: cleaning package manager metadata INFO: enabled HW Info plugin INFO: Buildroot is handled by package management from host and used with --installroot: rpm-4.20.0-1.fc41.x86_64 rpm-sequoia-1.7.0-2.fc41.x86_64 python3-dnf-4.22.0-1.fc41.noarch python3-dnf-plugins-core-4.10.0-1.fc41.noarch dnf5-5.2.7.0-1.fc41.x86_64 dnf5-plugins-5.2.7.0-1.fc41.x86_64 Finish: chroot init Start: build phase for python-scikit-learn-1.5.2-6.fc42.src.rpm Start: build setup for python-scikit-learn-1.5.2-6.fc42.src.rpm Building target platforms: x86_64 Building for target x86_64 setting SOURCE_DATE_EPOCH=1732665600 Wrote: /builddir/build/SRPMS/python-scikit-learn-1.5.2-6.fc42.src.rpm Updating and loading repositories: updates 100% | 619.1 KiB/s | 29.1 KiB | 00m00s fedora 100% | 1.2 MiB/s | 31.8 KiB | 00m00s Copr repository 100% | 15.7 KiB/s | 1.5 KiB | 00m00s Additional repo http_kojipkgs_fedorapr 100% | 64.9 KiB/s | 3.8 KiB | 00m00s Repositories loaded. Package Arch Version Repository Size Installing: gcc x86_64 14.2.1-6.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 104.3 MiB gcc-c++ x86_64 14.2.1-6.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 38.1 MiB python3-devel x86_64 3.13.0-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.8 MiB python3-joblib noarch 1.4.2-3.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 2.2 MiB python3-pytest noarch 8.3.3-3.fc42 copr_base 20.8 MiB python3-setuptools noarch 74.1.3-4.fc42 copr_base 8.4 MiB python3-threadpoolctl noarch 3.5.0-4.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 136.8 KiB Installing dependencies: annobin-docs noarch 12.77-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 98.4 KiB annobin-plugin-gcc x86_64 12.77-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 991.3 KiB cpp x86_64 14.2.1-6.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 35.0 MiB expat x86_64 2.6.4-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 285.5 KiB gcc-plugin-annobin x86_64 14.2.1-6.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 57.6 KiB glibc-devel x86_64 2.40.9000-21.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 2.3 MiB kernel-headers x86_64 6.13.0-0.rc1.e70140ba0d2b.14.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 6.5 MiB libb2 x86_64 0.98.1-12.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 42.2 KiB libmpc x86_64 1.3.1-6.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 164.7 KiB libstdc++-devel x86_64 14.2.1-6.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 15.4 MiB libxcrypt-devel x86_64 4.4.36-11.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 30.5 KiB make x86_64 1:4.4.1-9.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.8 MiB mpdecimal x86_64 2.5.1-16.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 204.9 KiB pyproject-rpm-macros noarch 1.16.2-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 113.8 KiB python-pip-wheel noarch 24.3.1-1.fc42 copr_base 1.2 MiB python-rpm-macros noarch 3.13-3.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 22.1 KiB python3 x86_64 3.13.0-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 31.8 KiB python3-cloudpickle noarch 3.1.0-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 127.8 KiB python3-iniconfig noarch 1.1.1-24.fc41 copr_base 20.6 KiB python3-libs x86_64 3.13.0-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 40.4 MiB python3-packaging noarch 24.2-2.fc42 copr_base 555.7 KiB python3-pluggy noarch 1.5.0-1.fc42 copr_base 193.2 KiB python3-rpm-generators noarch 14-11.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 81.7 KiB python3-rpm-macros noarch 3.13-3.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 6.4 KiB tzdata noarch 2024a-9.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.7 MiB Transaction Summary: Installing: 32 packages Total size of inbound packages is 85 MiB. Need to download 85 MiB. After this operation, 283 MiB extra will be used (install 283 MiB, remove 0 B). [ 1/32] python3-devel-0:3.13.0-1.fc42.x 100% | 1.7 MiB/s | 357.2 KiB | 00m00s [ 2/32] python3-joblib-0:1.4.2-3.fc41.n 100% | 1.4 MiB/s | 529.1 KiB | 00m00s [ 3/32] gcc-c++-0:14.2.1-6.fc42.x86_64 100% | 20.9 MiB/s | 14.2 MiB | 00m01s [ 4/32] python3-threadpoolctl-0:3.5.0-4 100% | 2.4 MiB/s | 44.4 KiB | 00m00s [ 5/32] python3-setuptools-0:74.1.3-4.f 100% | 9.1 MiB/s | 1.8 MiB | 00m00s [ 6/32] libstdc++-devel-0:14.2.1-6.fc42 100% | 3.9 MiB/s | 2.6 MiB | 00m01s [ 7/32] python3-0:3.13.0-1.fc42.x86_64 100% | 1.3 MiB/s | 27.8 KiB | 00m00s [ 8/32] cpp-0:14.2.1-6.fc42.x86_64 100% | 10.8 MiB/s | 11.9 MiB | 00m01s [ 9/32] python3-cloudpickle-0:3.1.0-1.f 100% | 2.3 MiB/s | 47.2 KiB | 00m00s [10/32] python3-pytest-0:8.3.3-3.fc42.n 100% | 29.6 MiB/s | 2.0 MiB | 00m00s [11/32] expat-0:2.6.4-1.fc42.x86_64 100% | 4.3 MiB/s | 114.5 KiB | 00m00s [12/32] python-pip-wheel-0:24.3.1-1.fc4 100% | 19.1 MiB/s | 1.2 MiB | 00m00s [13/32] tzdata-0:2024a-9.fc41.noarch 100% | 5.8 MiB/s | 430.6 KiB | 00m00s [14/32] 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python3-rpm-macros-0:3.13-3.fc4 100% | 691.3 KiB/s | 12.4 KiB | 00m00s [28/32] python3-rpm-generators-0:14-11. 100% | 1.5 MiB/s | 29.3 KiB | 00m00s [29/32] annobin-plugin-gcc-0:12.77-1.fc 100% | 7.5 MiB/s | 977.2 KiB | 00m00s [30/32] annobin-docs-0:12.77-1.fc42.noa 100% | 3.3 MiB/s | 92.4 KiB | 00m00s [31/32] python3-libs-0:3.13.0-1.fc42.x8 100% | 5.9 MiB/s | 8.8 MiB | 00m02s [32/32] gcc-0:14.2.1-6.fc42.x86_64 100% | 9.1 MiB/s | 36.9 MiB | 00m04s -------------------------------------------------------------------------------- [32/32] Total 100% | 21.0 MiB/s | 85.2 MiB | 00m04s Running transaction [ 1/34] Verify package files 100% | 111.0 B/s | 32.0 B | 00m00s [ 2/34] Prepare transaction 100% | 385.0 B/s | 32.0 B | 00m00s [ 3/34] Installing python-rpm-macros-0: 100% | 22.3 MiB/s | 22.8 KiB | 00m00s [ 4/34] Installing libmpc-0:1.3.1-6.fc4 100% | 40.6 MiB/s | 166.2 KiB | 00m00s [ 5/34] Installing python3-rpm-macros-0 100% | 0.0 B/s | 6.7 KiB | 00m00s [ 6/34] Installing 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Finish: build setup for python-scikit-learn-1.5.2-6.fc42.src.rpm Start: rpmbuild python-scikit-learn-1.5.2-6.fc42.src.rpm Building target platforms: x86_64 Building for target x86_64 setting SOURCE_DATE_EPOCH=1732665600 Executing(%mkbuilddir): /bin/sh -e /var/tmp/rpm-tmp.BWHtL9 + umask 022 + cd /builddir/build/BUILD/python-scikit-learn-1.5.2-build + test -d /builddir/build/BUILD/python-scikit-learn-1.5.2-build + /usr/bin/chmod -Rf a+rX,u+w,g-w,o-w /builddir/build/BUILD/python-scikit-learn-1.5.2-build + /usr/bin/rm -rf /builddir/build/BUILD/python-scikit-learn-1.5.2-build + /usr/bin/mkdir -p /builddir/build/BUILD/python-scikit-learn-1.5.2-build + /usr/bin/mkdir -p /builddir/build/BUILD/python-scikit-learn-1.5.2-build/SPECPARTS + RPM_EC=0 ++ jobs -p + exit 0 Executing(%prep): /bin/sh -e /var/tmp/rpm-tmp.HgUutM + umask 022 + cd /builddir/build/BUILD/python-scikit-learn-1.5.2-build + cd /builddir/build/BUILD/python-scikit-learn-1.5.2-build + rm -rf scikit_learn-1.5.2 + /usr/lib/rpm/rpmuncompress -x /builddir/build/SOURCES/scikit_learn-1.5.2.tar.gz + STATUS=0 + '[' 0 -ne 0 ']' + cd scikit_learn-1.5.2 + /usr/bin/chmod -Rf a+rX,u+w,g-w,o-w . + sed -i -e 's|numpy>=2|numpy|' pyproject.toml + find sklearn/metrics/_dist_metrics.pyx.tp -type f + xargs sed -i 's/cdef inline {{INPUT_DTYPE_t}} rdist/cdef {{INPUT_DTYPE_t}} rdist/g' + RPM_EC=0 ++ jobs -p + exit 0 Executing(%generate_buildrequires): /bin/sh -e /var/tmp/rpm-tmp.b1LtvQ + umask 022 + cd /builddir/build/BUILD/python-scikit-learn-1.5.2-build + cd scikit_learn-1.5.2 + echo pyproject-rpm-macros + echo python3-devel + echo 'python3dist(packaging)' + echo 'python3dist(pip) >= 19' + '[' -f pyproject.toml ']' + echo '(python3dist(tomli) if python3-devel < 3.11)' + rm -rfv '*.dist-info/' + '[' -f /usr/bin/python3 ']' + mkdir -p /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/.pyproject-builddir + echo -n + CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + VALAFLAGS=-g + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes ' + LT_SYS_LIBRARY_PATH=/usr/lib64: + CC=gcc + CXX=g++ + TMPDIR=/builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/.pyproject-builddir + RPM_TOXENV=py313 + HOSTNAME=rpmbuild + /usr/bin/python3 -Bs /usr/lib/rpm/redhat/pyproject_buildrequires.py --generate-extras --python3_pkgversion 3 --wheeldir /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/pyproject-wheeldir --output /builddir/build/BUILD/python-scikit-learn-1.5.2-build/python-scikit-learn-1.5.2-6.fc42.x86_64-pyproject-buildrequires -p Handling meson-python>=0.16.0 from build-system.requires Requirement not satisfied: meson-python>=0.16.0 Handling Cython>=3.0.10 from build-system.requires Requirement not satisfied: Cython>=3.0.10 Handling numpy from build-system.requires Requirement not satisfied: numpy Handling scipy>=1.6.0 from build-system.requires Requirement not satisfied: scipy>=1.6.0 Exiting dependency generation pass: build backend + cat /builddir/build/BUILD/python-scikit-learn-1.5.2-build/python-scikit-learn-1.5.2-6.fc42.x86_64-pyproject-buildrequires + rm -rfv '*.dist-info/' + RPM_EC=0 ++ jobs -p + exit 0 Wrote: /builddir/build/SRPMS/python-scikit-learn-1.5.2-6.fc42.buildreqs.nosrc.rpm INFO: Going to install missing dynamic buildrequires Updating and loading repositories: updates 100% | 831.3 KiB/s | 29.1 KiB | 00m00s fedora 100% | 1.2 MiB/s | 31.8 KiB | 00m00s Copr repository 100% | 15.4 KiB/s | 1.5 KiB | 00m00s Additional repo http_kojipkgs_fedorapr 100% | 58.0 KiB/s | 3.8 KiB | 00m00s Repositories loaded. Package "gcc-14.2.1-6.fc42.x86_64" is already installed. Package "gcc-c++-14.2.1-6.fc42.x86_64" is already installed. Package "pyproject-rpm-macros-1.16.2-1.fc42.noarch" is already installed. Package "python3-devel-3.13.0-1.fc42.x86_64" is already installed. Package "python3-joblib-1.4.2-3.fc41.noarch" is already installed. Package "python3-packaging-24.2-2.fc42.noarch" is already installed. Package "python3-pytest-8.3.3-3.fc42.noarch" is already installed. Package "python3-setuptools-74.1.3-4.fc42.noarch" is already installed. Package "python3-threadpoolctl-3.5.0-4.fc41.noarch" is already installed. Package Arch Version Repository Size Installing: python3-cython x86_64 3.0.11-1.fc41 copr_base 18.1 MiB python3-meson-python noarch 0.17.1-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 277.7 KiB python3-numpy x86_64 1:1.26.4-8.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 43.8 MiB python3-pip noarch 24.3.1-1.fc42 copr_base 11.3 MiB python3-scipy x86_64 1.14.1-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 67.1 MiB Installing dependencies: emacs-filesystem noarch 1:30.0-3.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 0.0 B flexiblas x86_64 3.4.4-3.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 48.5 KiB flexiblas-netlib x86_64 3.4.4-3.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 10.7 MiB flexiblas-openblas-openmp x86_64 3.4.4-3.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 43.3 KiB libgfortran x86_64 14.2.1-6.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 3.0 MiB libquadmath x86_64 14.2.1-6.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 325.9 KiB meson noarch 1.5.1-2.fc42 copr_base 11.4 MiB ninja-build x86_64 1.12.1-3.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 432.6 KiB openblas x86_64 0.3.28-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 106.6 KiB openblas-openmp x86_64 0.3.28-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 39.4 MiB patchelf x86_64 0.18.0-5.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 283.6 KiB python3-charset-normalizer noarch 3.4.0-1.fc42 copr_base 319.9 KiB python3-idna noarch 3.10-1.fc42 copr_base 628.0 KiB python3-numpy-f2py x86_64 1:1.26.4-8.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 2.8 MiB python3-platformdirs noarch 4.2.2-3.fc42 copr_base 168.4 KiB python3-pooch noarch 1.8.2-4.fc42 copr_base 625.5 KiB python3-pyproject-metadata noarch 0.8.0-4.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 92.0 KiB python3-requests noarch 2.32.3-3.fc42 copr_base 485.8 KiB python3-urllib3 noarch 2.2.3-5.fc42 copr_base 1.0 MiB vim-filesystem noarch 2:9.1.895-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 40.0 B Transaction Summary: Installing: 25 packages Total size of inbound packages is 44 MiB. Need to download 44 MiB. After this operation, 212 MiB extra will be used (install 212 MiB, remove 0 B). [ 1/25] python3-meson-python-0:0.17.1-1 100% | 873.0 KiB/s | 81.2 KiB | 00m00s [ 2/25] python3-cython-0:3.0.11-1.fc41. 100% | 22.7 MiB/s | 3.8 MiB | 00m00s [ 3/25] python3-pip-0:24.3.1-1.fc42.noa 100% | 25.9 MiB/s | 2.5 MiB | 00m00s [ 4/25] python3-numpy-1:1.26.4-8.fc41.x 100% | 23.8 MiB/s | 7.4 MiB | 00m00s [ 5/25] python3-numpy-f2py-1:1.26.4-8.f 100% | 13.2 MiB/s | 501.2 KiB | 00m00s [ 6/25] flexiblas-netlib-0:3.4.4-3.fc41 100% | 28.7 MiB/s | 3.2 MiB | 00m00s [ 7/25] python3-pyproject-metadata-0:0. 100% | 109.7 KiB/s | 31.3 KiB | 00m00s [ 8/25] flexiblas-0:3.4.4-3.fc41.x86_64 100% | 1.2 MiB/s | 25.3 KiB | 00m00s [ 9/25] flexiblas-openblas-openmp-0:3.4 100% | 907.6 KiB/s | 17.2 KiB | 00m00s [10/25] python3-pooch-0:1.8.2-4.fc42.no 100% | 11.3 MiB/s | 126.9 KiB | 00m00s [11/25] patchelf-0:0.18.0-5.fc41.x86_64 100% | 5.3 MiB/s | 125.5 KiB | 00m00s [12/25] libgfortran-0:14.2.1-6.fc42.x86 100% | 14.6 MiB/s | 939.2 KiB | 00m00s [13/25] ninja-build-0:1.12.1-3.fc41.x86 100% | 8.8 MiB/s | 180.0 KiB | 00m00s [14/25] emacs-filesystem-1:30.0-3.fc41. 100% | 396.8 KiB/s | 7.1 KiB | 00m00s [15/25] vim-filesystem-2:9.1.895-1.fc42 100% | 629.3 KiB/s | 16.4 KiB | 00m00s [16/25] meson-0:1.5.1-2.fc42.noarch 100% | 23.8 MiB/s | 2.0 MiB | 00m00s [17/25] openblas-0:0.3.28-1.fc42.x86_64 100% | 1.1 MiB/s | 41.0 KiB | 00m00s [18/25] libquadmath-0:14.2.1-6.fc42.x86 100% | 9.1 MiB/s | 204.3 KiB | 00m00s [19/25] python3-platformdirs-0:4.2.2-3. 100% | 4.1 MiB/s | 41.5 KiB | 00m00s [20/25] python3-requests-0:2.32.3-3.fc4 100% | 5.8 MiB/s | 149.6 KiB | 00m00s [21/25] python3-charset-normalizer-0:3. 100% | 5.9 MiB/s | 101.8 KiB | 00m00s [22/25] python3-idna-0:3.10-1.fc42.noar 100% | 9.1 MiB/s | 112.3 KiB | 00m00s [23/25] python3-urllib3-0:2.2.3-5.fc42. 100% | 15.8 MiB/s | 259.6 KiB | 00m00s [24/25] openblas-openmp-0:0.3.28-1.fc42 100% | 28.4 MiB/s | 5.1 MiB | 00m00s [25/25] python3-scipy-0:1.14.1-1.fc42.x 100% | 22.6 MiB/s | 17.1 MiB | 00m01s -------------------------------------------------------------------------------- [25/25] Total 100% | 47.5 MiB/s | 44.0 MiB | 00m01s Running transaction [ 1/27] Verify package files 100% | 160.0 B/s | 25.0 B | 00m00s [ 2/27] Prepare transaction 100% | 301.0 B/s | 25.0 B | 00m00s [ 3/27] Installing libgfortran-0:14.2.1 100% | 217.5 MiB/s | 3.0 MiB | 00m00s [ 4/27] Installing python3-idna-0:3.10- 100% | 88.5 MiB/s | 634.3 KiB | 00m00s [ 5/27] Installing python3-urllib3-0:2. 100% | 77.1 MiB/s | 1.0 MiB | 00m00s [ 6/27] Installing python3-charset-norm 100% | 64.4 MiB/s | 329.8 KiB | 00m00s [ 7/27] Installing python3-requests-0:2 100% | 97.3 MiB/s | 497.9 KiB | 00m00s [ 8/27] Installing python3-platformdirs 100% | 56.9 MiB/s | 174.9 KiB | 00m00s [ 9/27] Installing python3-pooch-0:1.8. 100% | 69.5 MiB/s | 640.5 KiB | 00m00s [10/27] Installing libquadmath-0:14.2.1 100% | 106.5 MiB/s | 327.2 KiB | 00m00s [11/27] Installing openblas-0:0.3.28-1. 100% | 52.9 MiB/s | 108.3 KiB | 00m00s [12/27] Installing openblas-openmp-0:0. 100% | 94.0 MiB/s | 39.4 MiB | 00m00s [13/27] Installing flexiblas-0:3.4.4-3. 100% | 48.5 MiB/s | 49.7 KiB | 00m00s [14/27] Installing flexiblas-openblas-o 100% | 43.1 MiB/s | 44.1 KiB | 00m00s [15/27] Installing flexiblas-netlib-0:3 100% | 164.1 MiB/s | 10.7 MiB | 00m00s [16/27] Installing python3-numpy-1:1.26 100% | 98.1 MiB/s | 44.1 MiB | 00m00s [17/27] Installing python3-numpy-f2py-1 100% | 78.8 MiB/s | 2.8 MiB | 00m00s [18/27] Installing vim-filesystem-2:9.1 100% | 2.3 MiB/s | 4.7 KiB | 00m00s [19/27] Installing emacs-filesystem-1:3 100% | 0.0 B/s | 544.0 B | 00m00s [20/27] Installing ninja-build-0:1.12.1 100% | 32.7 MiB/s | 435.8 KiB | 00m00s [21/27] Installing meson-0:1.5.1-2.fc42 100% | 104.7 MiB/s | 11.5 MiB | 00m00s [22/27] Installing patchelf-0:0.18.0-5. 100% | 69.7 MiB/s | 285.4 KiB | 00m00s [23/27] Installing python3-pyproject-me 100% | 23.2 MiB/s | 95.0 KiB | 00m00s [24/27] Installing python3-meson-python 100% | 39.6 MiB/s | 283.7 KiB | 00m00s [25/27] Installing python3-scipy-0:1.14 100% | 78.3 MiB/s | 67.5 MiB | 00m01s [26/27] Installing python3-pip-0:24.3.1 100% | 71.7 MiB/s | 11.6 MiB | 00m00s [27/27] Installing python3-cython-0:3.0 100% | 62.2 MiB/s | 18.3 MiB | 00m00s Warning: skipped PGP checks for 25 packages from repositories: copr_base, http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch Complete! Building target platforms: x86_64 Building for target x86_64 setting SOURCE_DATE_EPOCH=1732665600 Executing(%generate_buildrequires): /bin/sh -e /var/tmp/rpm-tmp.dLITRo + umask 022 + cd /builddir/build/BUILD/python-scikit-learn-1.5.2-build + cd scikit_learn-1.5.2 + echo pyproject-rpm-macros + echo python3-devel + echo 'python3dist(packaging)' + echo 'python3dist(pip) >= 19' + '[' -f pyproject.toml ']' + echo '(python3dist(tomli) if python3-devel < 3.11)' + rm -rfv '*.dist-info/' + '[' -f /usr/bin/python3 ']' + mkdir -p /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/.pyproject-builddir + echo -n + CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + VALAFLAGS=-g + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes ' + LT_SYS_LIBRARY_PATH=/usr/lib64: + CC=gcc + CXX=g++ + TMPDIR=/builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/.pyproject-builddir + RPM_TOXENV=py313 + HOSTNAME=rpmbuild + /usr/bin/python3 -Bs /usr/lib/rpm/redhat/pyproject_buildrequires.py --generate-extras --python3_pkgversion 3 --wheeldir /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/pyproject-wheeldir --output /builddir/build/BUILD/python-scikit-learn-1.5.2-build/python-scikit-learn-1.5.2-6.fc42.x86_64-pyproject-buildrequires -p Handling meson-python>=0.16.0 from build-system.requires Requirement satisfied: meson-python>=0.16.0 (installed: meson-python 0.17.1) Handling Cython>=3.0.10 from build-system.requires Requirement satisfied: Cython>=3.0.10 (installed: Cython 3.0.11) Handling numpy from build-system.requires Requirement satisfied: numpy (installed: numpy 1.26.4) Handling scipy>=1.6.0 from build-system.requires Requirement satisfied: scipy>=1.6.0 (installed: scipy 1.14.1) Handling numpy>=1.19.5 from pyproject.toml generated metadata: [dependencies] (scikit-learn) Requirement satisfied: numpy>=1.19.5 (installed: numpy 1.26.4) Handling scipy>=1.6.0 from pyproject.toml generated metadata: [dependencies] (scikit-learn) Requirement satisfied: scipy>=1.6.0 (installed: scipy 1.14.1) Handling joblib>=1.2.0 from pyproject.toml generated metadata: [dependencies] (scikit-learn) Requirement satisfied: joblib>=1.2.0 (installed: joblib 1.4.2) Handling threadpoolctl>=3.1.0 from pyproject.toml generated metadata: [dependencies] (scikit-learn) Requirement satisfied: threadpoolctl>=3.1.0 (installed: threadpoolctl 3.5.0) Handling numpy>=1.19.5 from pyproject.toml generated metadata: [optional-dependencies] build (scikit-learn) Ignoring alien requirement: numpy>=1.19.5 Handling scipy>=1.6.0 from pyproject.toml generated metadata: [optional-dependencies] build (scikit-learn) Ignoring alien requirement: scipy>=1.6.0 Handling cython>=3.0.10 from pyproject.toml generated metadata: [optional-dependencies] build (scikit-learn) Ignoring alien requirement: cython>=3.0.10 Handling meson-python>=0.16.0 from pyproject.toml generated metadata: [optional-dependencies] build (scikit-learn) Ignoring alien requirement: meson-python>=0.16.0 Handling numpy>=1.19.5 from pyproject.toml generated metadata: [optional-dependencies] install (scikit-learn) Ignoring alien requirement: numpy>=1.19.5 Handling scipy>=1.6.0 from pyproject.toml generated metadata: [optional-dependencies] install (scikit-learn) Ignoring alien requirement: scipy>=1.6.0 Handling joblib>=1.2.0 from pyproject.toml generated metadata: [optional-dependencies] install (scikit-learn) Ignoring alien requirement: joblib>=1.2.0 Handling threadpoolctl>=3.1.0 from pyproject.toml generated metadata: [optional-dependencies] install (scikit-learn) Ignoring alien requirement: threadpoolctl>=3.1.0 Handling matplotlib>=3.3.4 from pyproject.toml generated metadata: [optional-dependencies] benchmark (scikit-learn) Ignoring alien requirement: matplotlib>=3.3.4 Handling pandas>=1.1.5 from pyproject.toml generated metadata: [optional-dependencies] benchmark (scikit-learn) Ignoring alien requirement: pandas>=1.1.5 Handling memory_profiler>=0.57.0 from pyproject.toml generated metadata: [optional-dependencies] benchmark (scikit-learn) Ignoring alien requirement: memory_profiler>=0.57.0 Handling matplotlib>=3.3.4 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: matplotlib>=3.3.4 Handling scikit-image>=0.17.2 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: scikit-image>=0.17.2 Handling pandas>=1.1.5 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: pandas>=1.1.5 Handling seaborn>=0.9.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: seaborn>=0.9.0 Handling memory_profiler>=0.57.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: memory_profiler>=0.57.0 Handling sphinx>=7.3.7 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: sphinx>=7.3.7 Handling sphinx-copybutton>=0.5.2 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: sphinx-copybutton>=0.5.2 Handling sphinx-gallery>=0.16.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: sphinx-gallery>=0.16.0 Handling numpydoc>=1.2.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: numpydoc>=1.2.0 Handling Pillow>=7.1.2 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: Pillow>=7.1.2 Handling pooch>=1.6.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: pooch>=1.6.0 Handling sphinx-prompt>=1.4.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: sphinx-prompt>=1.4.0 Handling sphinxext-opengraph>=0.9.1 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: sphinxext-opengraph>=0.9.1 Handling plotly>=5.14.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: plotly>=5.14.0 Handling polars>=0.20.30 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: polars>=0.20.30 Handling sphinx-design>=0.5.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: sphinx-design>=0.5.0 Handling sphinx-design>=0.6.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: sphinx-design>=0.6.0 Handling sphinxcontrib-sass>=0.3.4 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: sphinxcontrib-sass>=0.3.4 Handling pydata-sphinx-theme>=0.15.3 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: pydata-sphinx-theme>=0.15.3 Handling sphinx-remove-toctrees>=1.0.0.post1 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: sphinx-remove-toctrees>=1.0.0.post1 Handling matplotlib>=3.3.4 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn) Ignoring alien requirement: matplotlib>=3.3.4 Handling scikit-image>=0.17.2 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn) Ignoring alien requirement: scikit-image>=0.17.2 Handling pandas>=1.1.5 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn) Ignoring alien requirement: pandas>=1.1.5 Handling seaborn>=0.9.0 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn) Ignoring alien requirement: seaborn>=0.9.0 Handling pooch>=1.6.0 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn) Ignoring alien requirement: pooch>=1.6.0 Handling plotly>=5.14.0 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn) Ignoring alien requirement: plotly>=5.14.0 Handling matplotlib>=3.3.4 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: matplotlib>=3.3.4 Handling scikit-image>=0.17.2 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: scikit-image>=0.17.2 Handling pandas>=1.1.5 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: pandas>=1.1.5 Handling pytest>=7.1.2 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: pytest>=7.1.2 Handling pytest-cov>=2.9.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: pytest-cov>=2.9.0 Handling ruff>=0.2.1 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: ruff>=0.2.1 Handling black>=24.3.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: black>=24.3.0 Handling mypy>=1.9 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: mypy>=1.9 Handling pyamg>=4.0.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: pyamg>=4.0.0 Handling polars>=0.20.30 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: polars>=0.20.30 Handling pyarrow>=12.0.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: pyarrow>=12.0.0 Handling numpydoc>=1.2.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: numpydoc>=1.2.0 Handling pooch>=1.6.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: pooch>=1.6.0 Handling conda-lock==2.5.6 from pyproject.toml generated metadata: [optional-dependencies] maintenance (scikit-learn) Ignoring alien requirement: conda-lock==2.5.6 + cat /builddir/build/BUILD/python-scikit-learn-1.5.2-build/python-scikit-learn-1.5.2-6.fc42.x86_64-pyproject-buildrequires + rm -rfv '*.dist-info/' + RPM_EC=0 ++ jobs -p + exit 0 Wrote: /builddir/build/SRPMS/python-scikit-learn-1.5.2-6.fc42.buildreqs.nosrc.rpm INFO: Going to install missing dynamic buildrequires Updating and loading repositories: Copr repository 100% | 21.9 KiB/s | 1.5 KiB | 00m00s updates 100% | 593.8 KiB/s | 29.1 KiB | 00m00s fedora 100% | 1.2 MiB/s | 31.8 KiB | 00m00s Additional repo http_kojipkgs_fedorapr 100% | 60.8 KiB/s | 3.8 KiB | 00m00s Repositories loaded. Package "gcc-14.2.1-6.fc42.x86_64" is already installed. Package "gcc-c++-14.2.1-6.fc42.x86_64" is already installed. Package "pyproject-rpm-macros-1.16.2-1.fc42.noarch" is already installed. Package "python3-devel-3.13.0-1.fc42.x86_64" is already installed. Package "python3-cython-3.0.11-1.fc41.x86_64" is already installed. Package "python3-joblib-1.4.2-3.fc41.noarch" is already installed. Package "python3-joblib-1.4.2-3.fc41.noarch" is already installed. Package "python3-meson-python-0.17.1-1.fc42.noarch" is already installed. Package "python3-numpy-1:1.26.4-8.fc41.x86_64" is already installed. Package "python3-numpy-1:1.26.4-8.fc41.x86_64" is already installed. Package "python3-packaging-24.2-2.fc42.noarch" is already installed. Package "python3-pip-24.3.1-1.fc42.noarch" is already installed. Package "python3-pytest-8.3.3-3.fc42.noarch" is already installed. Package "python3-scipy-1.14.1-1.fc42.x86_64" is already installed. Package "python3-setuptools-74.1.3-4.fc42.noarch" is already installed. Package "python3-threadpoolctl-3.5.0-4.fc41.noarch" is already installed. Package "python3-threadpoolctl-3.5.0-4.fc41.noarch" is already installed. Nothing to do. Building target platforms: x86_64 Building for target x86_64 setting SOURCE_DATE_EPOCH=1732665600 Executing(%generate_buildrequires): /bin/sh -e /var/tmp/rpm-tmp.NpxEDs + umask 022 + cd /builddir/build/BUILD/python-scikit-learn-1.5.2-build + cd scikit_learn-1.5.2 + echo pyproject-rpm-macros + echo python3-devel + echo 'python3dist(packaging)' + echo 'python3dist(pip) >= 19' + '[' -f pyproject.toml ']' + echo '(python3dist(tomli) if python3-devel < 3.11)' + rm -rfv '*.dist-info/' + '[' -f /usr/bin/python3 ']' + mkdir -p /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/.pyproject-builddir + echo -n + CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + VALAFLAGS=-g + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes ' + LT_SYS_LIBRARY_PATH=/usr/lib64: + CC=gcc + CXX=g++ + TMPDIR=/builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/.pyproject-builddir + RPM_TOXENV=py313 + HOSTNAME=rpmbuild + /usr/bin/python3 -Bs /usr/lib/rpm/redhat/pyproject_buildrequires.py --generate-extras --python3_pkgversion 3 --wheeldir /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/pyproject-wheeldir --output /builddir/build/BUILD/python-scikit-learn-1.5.2-build/python-scikit-learn-1.5.2-6.fc42.x86_64-pyproject-buildrequires -p Handling meson-python>=0.16.0 from build-system.requires Requirement satisfied: meson-python>=0.16.0 (installed: meson-python 0.17.1) Handling Cython>=3.0.10 from build-system.requires Requirement satisfied: Cython>=3.0.10 (installed: Cython 3.0.11) Handling numpy from build-system.requires Requirement satisfied: numpy (installed: numpy 1.26.4) Handling scipy>=1.6.0 from build-system.requires Requirement satisfied: scipy>=1.6.0 (installed: scipy 1.14.1) Handling numpy>=1.19.5 from pyproject.toml generated metadata: [dependencies] (scikit-learn) Requirement satisfied: numpy>=1.19.5 (installed: numpy 1.26.4) Handling scipy>=1.6.0 from pyproject.toml generated metadata: [dependencies] (scikit-learn) Requirement satisfied: scipy>=1.6.0 (installed: scipy 1.14.1) Handling joblib>=1.2.0 from pyproject.toml generated metadata: [dependencies] (scikit-learn) Requirement satisfied: joblib>=1.2.0 (installed: joblib 1.4.2) Handling threadpoolctl>=3.1.0 from pyproject.toml generated metadata: [dependencies] (scikit-learn) Requirement satisfied: threadpoolctl>=3.1.0 (installed: threadpoolctl 3.5.0) Handling numpy>=1.19.5 from pyproject.toml generated metadata: [optional-dependencies] build (scikit-learn) Ignoring alien requirement: numpy>=1.19.5 Handling scipy>=1.6.0 from pyproject.toml generated metadata: [optional-dependencies] build (scikit-learn) Ignoring alien requirement: scipy>=1.6.0 Handling cython>=3.0.10 from pyproject.toml generated metadata: [optional-dependencies] build (scikit-learn) Ignoring alien requirement: cython>=3.0.10 Handling meson-python>=0.16.0 from pyproject.toml generated metadata: [optional-dependencies] build (scikit-learn) Ignoring alien requirement: meson-python>=0.16.0 Handling numpy>=1.19.5 from pyproject.toml generated metadata: [optional-dependencies] install (scikit-learn) Ignoring alien requirement: numpy>=1.19.5 Handling scipy>=1.6.0 from pyproject.toml generated metadata: [optional-dependencies] install (scikit-learn) Ignoring alien requirement: scipy>=1.6.0 Handling joblib>=1.2.0 from pyproject.toml generated metadata: [optional-dependencies] install (scikit-learn) Ignoring alien requirement: joblib>=1.2.0 Handling threadpoolctl>=3.1.0 from pyproject.toml generated metadata: [optional-dependencies] install (scikit-learn) Ignoring alien requirement: threadpoolctl>=3.1.0 Handling matplotlib>=3.3.4 from pyproject.toml generated metadata: [optional-dependencies] benchmark (scikit-learn) Ignoring alien requirement: matplotlib>=3.3.4 Handling pandas>=1.1.5 from pyproject.toml generated metadata: [optional-dependencies] benchmark (scikit-learn) Ignoring alien requirement: pandas>=1.1.5 Handling memory_profiler>=0.57.0 from pyproject.toml generated metadata: [optional-dependencies] benchmark (scikit-learn) Ignoring alien requirement: memory_profiler>=0.57.0 Handling matplotlib>=3.3.4 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: matplotlib>=3.3.4 Handling scikit-image>=0.17.2 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: scikit-image>=0.17.2 Handling pandas>=1.1.5 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: pandas>=1.1.5 Handling seaborn>=0.9.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: seaborn>=0.9.0 Handling memory_profiler>=0.57.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: memory_profiler>=0.57.0 Handling sphinx>=7.3.7 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: sphinx>=7.3.7 Handling sphinx-copybutton>=0.5.2 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: sphinx-copybutton>=0.5.2 Handling sphinx-gallery>=0.16.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: sphinx-gallery>=0.16.0 Handling numpydoc>=1.2.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: numpydoc>=1.2.0 Handling Pillow>=7.1.2 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: Pillow>=7.1.2 Handling pooch>=1.6.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: pooch>=1.6.0 Handling sphinx-prompt>=1.4.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: sphinx-prompt>=1.4.0 Handling sphinxext-opengraph>=0.9.1 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: sphinxext-opengraph>=0.9.1 Handling plotly>=5.14.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: plotly>=5.14.0 Handling polars>=0.20.30 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: polars>=0.20.30 Handling sphinx-design>=0.5.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: sphinx-design>=0.5.0 Handling sphinx-design>=0.6.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: sphinx-design>=0.6.0 Handling sphinxcontrib-sass>=0.3.4 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: sphinxcontrib-sass>=0.3.4 Handling pydata-sphinx-theme>=0.15.3 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: pydata-sphinx-theme>=0.15.3 Handling sphinx-remove-toctrees>=1.0.0.post1 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: sphinx-remove-toctrees>=1.0.0.post1 Handling matplotlib>=3.3.4 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn) Ignoring alien requirement: matplotlib>=3.3.4 Handling scikit-image>=0.17.2 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn) Ignoring alien requirement: scikit-image>=0.17.2 Handling pandas>=1.1.5 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn) Ignoring alien requirement: pandas>=1.1.5 Handling seaborn>=0.9.0 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn) Ignoring alien requirement: seaborn>=0.9.0 Handling pooch>=1.6.0 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn) Ignoring alien requirement: pooch>=1.6.0 Handling plotly>=5.14.0 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn) Ignoring alien requirement: plotly>=5.14.0 Handling matplotlib>=3.3.4 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: matplotlib>=3.3.4 Handling scikit-image>=0.17.2 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: scikit-image>=0.17.2 Handling pandas>=1.1.5 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: pandas>=1.1.5 Handling pytest>=7.1.2 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: pytest>=7.1.2 Handling pytest-cov>=2.9.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: pytest-cov>=2.9.0 Handling ruff>=0.2.1 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: ruff>=0.2.1 Handling black>=24.3.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: black>=24.3.0 Handling mypy>=1.9 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: mypy>=1.9 Handling pyamg>=4.0.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: pyamg>=4.0.0 Handling polars>=0.20.30 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: polars>=0.20.30 Handling pyarrow>=12.0.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: pyarrow>=12.0.0 Handling numpydoc>=1.2.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: numpydoc>=1.2.0 Handling pooch>=1.6.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: pooch>=1.6.0 Handling conda-lock==2.5.6 from pyproject.toml generated metadata: [optional-dependencies] maintenance (scikit-learn) Ignoring alien requirement: conda-lock==2.5.6 + cat /builddir/build/BUILD/python-scikit-learn-1.5.2-build/python-scikit-learn-1.5.2-6.fc42.x86_64-pyproject-buildrequires + rm -rfv '*.dist-info/' + RPM_EC=0 ++ jobs -p + exit 0 Executing(%build): /bin/sh -e /var/tmp/rpm-tmp.zXRcyG + umask 022 + cd /builddir/build/BUILD/python-scikit-learn-1.5.2-build + CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CFLAGS + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CXXFLAGS + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FFLAGS + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FCFLAGS + VALAFLAGS=-g + export VALAFLAGS + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + export RUSTFLAGS + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes ' + export LDFLAGS + LT_SYS_LIBRARY_PATH=/usr/lib64: + export LT_SYS_LIBRARY_PATH + CC=gcc + export CC + CXX=g++ + export CXX + cd scikit_learn-1.5.2 + mkdir -p /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/.pyproject-builddir + CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + VALAFLAGS=-g + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes ' + LT_SYS_LIBRARY_PATH=/usr/lib64: + CC=gcc + CXX=g++ + TMPDIR=/builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/.pyproject-builddir + /usr/bin/python3 -Bs /usr/lib/rpm/redhat/pyproject_wheel.py /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/pyproject-wheeldir Processing /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2 Preparing metadata (pyproject.toml): started Running command Preparing metadata (pyproject.toml) + meson setup /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2 /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/.mesonpy-aqmqh4kf -Dbuildtype=release -Db_ndebug=if-release -Db_vscrt=md --native-file=/builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/.mesonpy-aqmqh4kf/meson-python-native-file.ini The Meson build system Version: 1.5.1 Source dir: /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2 Build dir: /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/.mesonpy-aqmqh4kf Build type: native build Project name: scikit-learn Project version: 1.5.2 C compiler for the host machine: gcc (gcc 14.2.1 "gcc (GCC) 14.2.1 20241104 (Red Hat 14.2.1-6)") C linker for the host machine: gcc ld.bfd 2.43.50.20241126 C++ compiler for the host machine: g++ (gcc 14.2.1 "g++ (GCC) 14.2.1 20241104 (Red Hat 14.2.1-6)") C++ linker for the host machine: g++ ld.bfd 2.43.50.20241126 Cython compiler for the host machine: cython (cython 3.0.11) Host machine cpu family: x86_64 Host machine cpu: x86_64 Compiler for C supports arguments -Wno-unused-but-set-variable: YES Compiler for C supports arguments -Wno-unused-function: YES Compiler for C supports arguments -Wno-conversion: YES Compiler for C supports arguments -Wno-misleading-indentation: YES Library m found: YES Program python found: YES (/usr/bin/python3) Run-time dependency OpenMP for c found: YES 4.5 Found pkg-config: YES (/usr/bin/pkg-config) 2.3.0 Run-time dependency python found: YES 3.13 Build targets in project: 111 scikit-learn 1.5.2 User defined options Native files: /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/.mesonpy-aqmqh4kf/meson-python-native-file.ini buildtype : release b_ndebug : if-release b_vscrt : md Found ninja-1.12.1 at /usr/bin/ninja + /usr/bin/ninja [1/249] Copying file sklearn/__init__.py [2/249] Copying file sklearn/utils/__init__.py [3/249] Copying file sklearn/_loss/_loss.pxd [4/249] Copying file sklearn/utils/_cython_blas.pxd [5/249] Copying file sklearn/utils/_heap.pxd [6/249] Copying file sklearn/utils/_random.pxd [7/249] Copying file sklearn/utils/_sorting.pxd [8/249] Copying file sklearn/utils/_openmp_helpers.pxd [9/249] Copying file sklearn/utils/_typedefs.pxd [10/249] Generating sklearn/utils/_weight_vector_pxd with a custom command [11/249] Generating sklearn/utils/_seq_dataset_pxd with a custom command [12/249] Copying file sklearn/utils/_vector_sentinel.pxd [13/249] Generating sklearn/metrics/_dist_metrics_pxd with a custom command [14/249] Copying file sklearn/metrics/__init__.py [15/249] Copying file sklearn/metrics/_pairwise_distances_reduction/__init__.py [16/249] Generating sklearn/metrics/_pairwise_distances_reduction/_datasets_pair_pxd with a custom command [17/249] Generating sklearn/metrics/_pairwise_distances_reduction/_base_pxd with a custom command [18/249] Generating sklearn/metrics/_pairwise_distances_reduction/_argkmin_pxd with a custom command [19/249] Copying file sklearn/metrics/_pairwise_distances_reduction/_classmode.pxd [20/249] Generating sklearn/metrics/_pairwise_distances_reduction/_middle_term_computer_pxd with a custom command [21/249] Generating sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors_pxd with a custom command [22/249] Copying file sklearn/linear_model/__init__.py [23/249] Generating sklearn/neighbors/_binary_tree_pxi with a custom command [24/249] Copying file sklearn/linear_model/_sgd_fast.pxd [25/249] Copying file sklearn/neighbors/__init__.py [26/249] Copying file sklearn/neighbors/_partition_nodes.pxd [27/249] Generating sklearn/_loss/_loss_pyx with a custom command [28/249] Generating sklearn/utils/_weight_vector_pyx with a custom command [29/249] Generating sklearn/utils/_seq_dataset_pyx with a custom command [30/249] Generating sklearn/metrics/_dist_metrics_pyx with a custom command [31/249] Generating sklearn/metrics/_pairwise_distances_reduction/_datasets_pair_pyx with a custom command [32/249] Generating sklearn/metrics/_pairwise_distances_reduction/_middle_term_computer_pyx with a custom command [33/249] Generating sklearn/metrics/_pairwise_distances_reduction/_base_pyx with a custom command [34/249] Generating sklearn/metrics/_pairwise_distances_reduction/_argkmin_pyx with a custom command [35/249] Generating sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors_pyx with a custom command [36/249] Generating sklearn/metrics/_pairwise_distances_reduction/_argkmin_classmode_pyx with a custom command [37/249] Generating sklearn/linear_model/_sag_fast_pyx with a custom command [38/249] Generating sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors_classmode_pyx with a custom command [39/249] Generating sklearn/linear_model/_sgd_fast_pyx with a custom command [40/249] Generating sklearn/neighbors/_ball_tree_pyx with a custom command [41/249] Generating sklearn/neighbors/_kd_tree_pyx with a custom command [42/249] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/__check_build/_check_build.pyx [43/249] Compiling Cython source 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/builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/metrics/_pairwise_fast.pyx [60/249] Compiling Cython source sklearn/metrics/_dist_metrics.pyx warning: sklearn/metrics/_dist_metrics.pyx:846:44: Assigning to 'float64_t *' from 'const float64_t *' discards const qualifier warning: sklearn/metrics/_dist_metrics.pyx:909:40: Assigning to 'float64_t *' from 'const float64_t *' discards const qualifier warning: sklearn/metrics/_dist_metrics.pyx:3426:44: Assigning to 'float32_t *' from 'const float32_t *' discards const qualifier warning: sklearn/metrics/_dist_metrics.pyx:3489:40: Assigning to 'float32_t *' from 'const float32_t *' discards const qualifier [61/249] Compiling Cython source sklearn/metrics/_pairwise_distances_reduction/_datasets_pair.pyx [62/249] Compiling Cython source sklearn/metrics/_pairwise_distances_reduction/_base.pyx [63/249] Compiling Cython source sklearn/metrics/_pairwise_distances_reduction/_middle_term_computer.pyx [64/249] Compiling 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source /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/cluster/_k_means_lloyd.pyx [73/249] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/cluster/_k_means_elkan.pyx [74/249] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/cluster/_k_means_minibatch.pyx [75/249] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/cluster/_hdbscan/_linkage.pyx [76/249] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/cluster/_hdbscan/_reachability.pyx [77/249] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/cluster/_hdbscan/_tree.pyx [78/249] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/datasets/_svmlight_format_fast.pyx [79/249] 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/builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/ensemble/_hist_gradient_boosting/splitting.pyx [86/249] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/ensemble/_hist_gradient_boosting/_predictor.pyx [87/249] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/ensemble/_hist_gradient_boosting/common.pyx [88/249] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/ensemble/_hist_gradient_boosting/_bitset.pyx [89/249] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/feature_extraction/_hashing_fast.pyx [90/249] Compiling Cython source sklearn/linear_model/_sgd_fast.pyx [91/249] Compiling Cython source sklearn/linear_model/_sag_fast.pyx [92/249] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/linear_model/_cd_fast.pyx [93/249] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/manifold/_utils.pyx [94/249] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/manifold/_barnes_hut_tsne.pyx [95/249] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/neighbors/_partition_nodes.pyx [96/249] Compiling Cython source sklearn/neighbors/_ball_tree.pyx warning: sklearn/neighbors/_binary_tree.pxi:1092:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:1958:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2053:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2222:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2345:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2402:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2403:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2728:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:3594:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:3689:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:3858:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:3981:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:4038:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:4039:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_ball_tree.pyx:105:9: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_ball_tree.pyx:107:9: Assigning to 'float64_t *' from 'const float64_t *' discards const qualifier warning: sklearn/neighbors/_ball_tree.pyx:308:9: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_ball_tree.pyx:310:9: Assigning to 'float32_t *' from 'const float32_t *' discards const qualifier [97/249] Compiling Cython source sklearn/neighbors/_kd_tree.pyx warning: sklearn/neighbors/_binary_tree.pxi:1092:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:1958:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2053:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2222:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2345:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2402:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2403:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2728:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:3594:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:3689:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:3858:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:3981:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:4038:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:4039:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_kd_tree.pyx:74:9: Assigning to 'float64_t *' from 'const float64_t *' discards const qualifier warning: sklearn/neighbors/_kd_tree.pyx:75:9: Assigning to 'float64_t *' from 'const float64_t *' discards const qualifier warning: sklearn/neighbors/_kd_tree.pyx:342:9: Assigning to 'float32_t *' from 'const float32_t *' discards const qualifier warning: sklearn/neighbors/_kd_tree.pyx:343:9: Assigning to 'float32_t *' from 'const float32_t *' discards const qualifier [98/249] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/neighbors/_quad_tree.pyx [99/249] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/svm/_newrand.pyx [100/249] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/preprocessing/_csr_polynomial_expansion.pyx [101/249] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/preprocessing/_target_encoder_fast.pyx [102/249] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/svm/_libsvm.pyx [103/249] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/svm/_libsvm_sparse.pyx [104/249] Compiling C++ object sklearn/svm/libliblinear-skl.a.p/src_liblinear_tron.cpp.o [105/249] Compiling C++ object sklearn/svm/liblibsvm-skl.a.p/src_libsvm_libsvm_template.cpp.o [106/249] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/svm/_liblinear.pyx [107/249] Compiling C++ object sklearn/svm/libliblinear-skl.a.p/src_liblinear_linear.cpp.o [108/249] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/tree/_criterion.pyx [109/249] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/tree/_splitter.pyx [110/249] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/tree/_tree.pyx [111/249] Compiling C object sklearn/__check_build/_check_build.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn___check_build__check_build.pyx.c.o [112/249] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/tree/_utils.pyx [113/249] Compiling C object sklearn/_isotonic.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn__isotonic.pyx.c.o [114/249] Compiling C object sklearn/utils/_cython_blas.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_utils__cython_blas.pyx.c.o [115/249] Compiling C object sklearn/utils/sparsefuncs_fast.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_utils_sparsefuncs_fast.pyx.c.o [116/249] Compiling C object sklearn/utils/murmurhash.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_utils_murmurhash.pyx.c.o [117/249] Compiling C++ object sklearn/utils/murmurhash.cpython-313-x86_64-linux-gnu.so.p/src_MurmurHash3.cpp.o [118/249] Compiling C object sklearn/utils/arrayfuncs.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_utils_arrayfuncs.pyx.c.o [119/249] Compiling C object sklearn/utils/_openmp_helpers.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_utils__openmp_helpers.pyx.c.o [120/249] Compiling C++ object sklearn/utils/_fast_dict.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_utils__fast_dict.pyx.cpp.o [121/249] Compiling C object sklearn/utils/_random.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_utils__random.pyx.c.o [122/249] Compiling C object sklearn/utils/_heap.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_utils__heap.pyx.c.o [123/249] Compiling C object sklearn/utils/_sorting.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_utils__sorting.pyx.c.o [124/249] Compiling C object sklearn/utils/_typedefs.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_utils__typedefs.pyx.c.o [125/249] Compiling C++ object sklearn/utils/_vector_sentinel.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_utils__vector_sentinel.pyx.cpp.o [126/249] Compiling C object sklearn/utils/_isfinite.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_utils__isfinite.pyx.c.o [127/249] Compiling C object sklearn/utils/_seq_dataset.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_utils__seq_dataset.pyx.c.o [128/249] Compiling C object sklearn/utils/_weight_vector.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_utils__weight_vector.pyx.c.o [129/249] Compiling C object sklearn/metrics/_pairwise_fast.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_metrics__pairwise_fast.pyx.c.o [130/249] Compiling C object sklearn/metrics/_dist_metrics.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_metrics__dist_metrics.pyx.c.o sklearn/metrics/_dist_metrics.cpython-313-x86_64-linux-gnu.so.p/sklearn/metrics/_dist_metrics.pyx.c: In function ‘__pyx_pf_7sklearn_7metrics_13_dist_metrics_16DistanceMetric64_22_pairwise_sparse_dense’: sklearn/metrics/_dist_metrics.cpython-313-x86_64-linux-gnu.so.p/sklearn/metrics/_dist_metrics.pyx.c:29084:29: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 29084 | __pyx_v_x2_data = ((&(*((__pyx_t_7sklearn_5utils_9_typedefs_float64_t const *) ( /* dim=1 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_float64_t const *) ( /* dim=0 */ (__pyx_v_Y_data.data + __pyx_t_18 * __pyx_v_Y_data.strides[0]) )) + __pyx_t_19)) )))) + (__pyx_v_i2 * __pyx_v_n_features)); | ^ sklearn/metrics/_dist_metrics.cpython-313-x86_64-linux-gnu.so.p/sklearn/metrics/_dist_metrics.pyx.c: In function ‘__pyx_pf_7sklearn_7metrics_13_dist_metrics_16DistanceMetric64_24_pairwise_dense_sparse’: sklearn/metrics/_dist_metrics.cpython-313-x86_64-linux-gnu.so.p/sklearn/metrics/_dist_metrics.pyx.c:29869:27: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 29869 | __pyx_v_x1_data = ((&(*((__pyx_t_7sklearn_5utils_9_typedefs_float64_t const *) ( /* dim=1 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_float64_t const *) ( /* dim=0 */ (__pyx_v_X_data.data + __pyx_t_15 * __pyx_v_X_data.strides[0]) )) + __pyx_t_16)) )))) + (__pyx_v_i1 * __pyx_v_n_features)); | ^ sklearn/metrics/_dist_metrics.cpython-313-x86_64-linux-gnu.so.p/sklearn/metrics/_dist_metrics.pyx.c: In function ‘__pyx_pf_7sklearn_7metrics_13_dist_metrics_16DistanceMetric32_22_pairwise_sparse_dense’: sklearn/metrics/_dist_metrics.cpython-313-x86_64-linux-gnu.so.p/sklearn/metrics/_dist_metrics.pyx.c:48708:29: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 48708 | __pyx_v_x2_data = ((&(*((__pyx_t_7sklearn_5utils_9_typedefs_float32_t const *) ( /* dim=1 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_float32_t const *) ( /* dim=0 */ (__pyx_v_Y_data.data + __pyx_t_18 * __pyx_v_Y_data.strides[0]) )) + __pyx_t_19)) )))) + (__pyx_v_i2 * __pyx_v_n_features)); | ^ sklearn/metrics/_dist_metrics.cpython-313-x86_64-linux-gnu.so.p/sklearn/metrics/_dist_metrics.pyx.c: In function ‘__pyx_pf_7sklearn_7metrics_13_dist_metrics_16DistanceMetric32_24_pairwise_dense_sparse’: sklearn/metrics/_dist_metrics.cpython-313-x86_64-linux-gnu.so.p/sklearn/metrics/_dist_metrics.pyx.c:49493:27: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 49493 | __pyx_v_x1_data = ((&(*((__pyx_t_7sklearn_5utils_9_typedefs_float32_t const *) ( /* dim=1 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_float32_t const *) ( /* dim=0 */ (__pyx_v_X_data.data + __pyx_t_15 * __pyx_v_X_data.strides[0]) )) + __pyx_t_16)) )))) + (__pyx_v_i1 * __pyx_v_n_features)); | ^ [131/249] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_datasets_pair.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_metrics__pairwise_distances_reduction__datasets_pair.pyx.cpp.o [132/249] Compiling C object sklearn/_loss/_loss.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn__loss__loss.pyx.c.o [133/249] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_base.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_metrics__pairwise_distances_reduction__base.pyx.cpp.o [134/249] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_middle_term_computer.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_metrics__pairwise_distances_reduction__middle_term_computer.pyx.cpp.o [135/249] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_argkmin.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_metrics__pairwise_distances_reduction__argkmin.pyx.cpp.o [136/249] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_metrics__pairwise_distances_reduction__radius_neighbors.pyx.cpp.o [137/249] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_argkmin_classmode.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_metrics__pairwise_distances_reduction__argkmin_classmode.pyx.cpp.o [138/249] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors_classmode.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_metrics__pairwise_distances_reduction__radius_neighbors_classmode.pyx.cpp.o [139/249] Compiling C object sklearn/metrics/cluster/_expected_mutual_info_fast.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_metrics_cluster__expected_mutual_info_fast.pyx.c.o [140/249] Compiling C++ object sklearn/cluster/_dbscan_inner.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_cluster__dbscan_inner.pyx.cpp.o [141/249] Compiling C++ object sklearn/cluster/_hierarchical_fast.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_cluster__hierarchical_fast.pyx.cpp.o [142/249] Compiling C object sklearn/cluster/_k_means_lloyd.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_cluster__k_means_lloyd.pyx.c.o [143/249] Compiling C object sklearn/cluster/_k_means_common.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_cluster__k_means_common.pyx.c.o [144/249] Compiling C object sklearn/cluster/_k_means_elkan.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_cluster__k_means_elkan.pyx.c.o [145/249] Compiling C object sklearn/cluster/_k_means_minibatch.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_cluster__k_means_minibatch.pyx.c.o [146/249] Compiling C object sklearn/cluster/_hdbscan/_linkage.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_cluster__hdbscan__linkage.pyx.c.o [147/249] Compiling C object sklearn/cluster/_hdbscan/_reachability.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_cluster__hdbscan__reachability.pyx.c.o [148/249] Compiling C object sklearn/cluster/_hdbscan/_tree.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_cluster__hdbscan__tree.pyx.c.o [149/249] Compiling C object sklearn/decomposition/_cdnmf_fast.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_decomposition__cdnmf_fast.pyx.c.o [150/249] Compiling C object sklearn/decomposition/_online_lda_fast.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_decomposition__online_lda_fast.pyx.c.o [151/249] Compiling C object sklearn/datasets/_svmlight_format_fast.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_datasets__svmlight_format_fast.pyx.c.o sklearn/datasets/_svmlight_format_fast.cpython-313-x86_64-linux-gnu.so.p/sklearn/datasets/_svmlight_format_fast.pyx.c:3297:9: warning: ‘Py_UNICODE’ is deprecated [-Wdeprecated-declarations] 3297 | Py_UNICODE *as_pyunicodes; | ^~~~~~~~~~ [152/249] Compiling C object sklearn/ensemble/_gradient_boosting.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_ensemble__gradient_boosting.pyx.c.o [153/249] Compiling C object sklearn/ensemble/_hist_gradient_boosting/_gradient_boosting.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_ensemble__hist_gradient_boosting__gradient_boosting.pyx.c.o [154/249] Compiling C object sklearn/ensemble/_hist_gradient_boosting/histogram.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_ensemble__hist_gradient_boosting_histogram.pyx.c.o [155/249] Compiling C object sklearn/ensemble/_hist_gradient_boosting/_binning.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_ensemble__hist_gradient_boosting__binning.pyx.c.o [156/249] Compiling C object sklearn/ensemble/_hist_gradient_boosting/_predictor.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_ensemble__hist_gradient_boosting__predictor.pyx.c.o [157/249] Compiling C object sklearn/ensemble/_hist_gradient_boosting/splitting.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_ensemble__hist_gradient_boosting_splitting.pyx.c.o [158/249] Compiling C object sklearn/ensemble/_hist_gradient_boosting/_bitset.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_ensemble__hist_gradient_boosting__bitset.pyx.c.o [159/249] Compiling C++ object sklearn/feature_extraction/_hashing_fast.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_feature_extraction__hashing_fast.pyx.cpp.o [160/249] Compiling C object sklearn/ensemble/_hist_gradient_boosting/common.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_ensemble__hist_gradient_boosting_common.pyx.c.o [161/249] Compiling C object sklearn/linear_model/_sag_fast.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_linear_model__sag_fast.pyx.c.o [162/249] Compiling C object sklearn/linear_model/_sgd_fast.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_linear_model__sgd_fast.pyx.c.o [163/249] Compiling C object sklearn/manifold/_utils.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_manifold__utils.pyx.c.o [164/249] Compiling C object sklearn/linear_model/_cd_fast.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_linear_model__cd_fast.pyx.c.o [165/249] Compiling C object sklearn/manifold/_barnes_hut_tsne.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_manifold__barnes_hut_tsne.pyx.c.o [166/249] Compiling C++ object sklearn/neighbors/_partition_nodes.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_neighbors__partition_nodes.pyx.cpp.o [167/249] Compiling C object sklearn/neighbors/_quad_tree.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_neighbors__quad_tree.pyx.c.o [168/249] Compiling C object sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_neighbors__ball_tree.pyx.c.o sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree64__recursive_build’: sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:32313:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 32313 | __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_self->idx_array.data) + __pyx_t_1)) )))); | ^ sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree64__query_radius_single’: sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:39728:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 39728 | __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_self->idx_array.data) + __pyx_t_2)) )))); | ^ sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree64__kde_single_breadthfirst’: sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:40281:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 40281 | __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_self->idx_array.data) + __pyx_t_2)) )))); | ^ sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree64__kde_single_depthfirst’: sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:41187:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 41187 | __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_self->idx_array.data) + __pyx_t_2)) )))); | ^ sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree64__two_point_single’: sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:41798:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 41798 | __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_self->idx_array.data) + __pyx_t_2)) )))); | ^ sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree64__two_point_dual’: sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:42201:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 42201 | __pyx_v_idx_array1 = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_self->idx_array.data) + __pyx_t_1)) )))); | ^ sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:42211:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 42211 | __pyx_v_idx_array2 = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_other->idx_array.data) + __pyx_t_1)) )))); | ^ sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree32__recursive_build’: sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:46126:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 46126 | __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_self->idx_array.data) + __pyx_t_1)) )))); | ^ sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree32__query_radius_single’: sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:53550:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 53550 | __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_self->idx_array.data) + __pyx_t_2)) )))); | ^ sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree32__kde_single_breadthfirst’: sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:54103:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 54103 | __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_self->idx_array.data) + __pyx_t_2)) )))); | ^ sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree32__kde_single_depthfirst’: sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:55009:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 55009 | __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_self->idx_array.data) + __pyx_t_2)) )))); | ^ sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree32__two_point_single’: sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:55620:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 55620 | __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_self->idx_array.data) + __pyx_t_2)) )))); | ^ sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree32__two_point_dual’: sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:56023:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 56023 | __pyx_v_idx_array1 = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_self->idx_array.data) + __pyx_t_1)) )))); | ^ sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:56033:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 56033 | __pyx_v_idx_array2 = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_other->idx_array.data) + __pyx_t_1)) )))); | ^ sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_init_node64’: sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:57910:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 57910 | __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_tree->idx_array.data) + __pyx_t_1)) )))); | ^ sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:57933:20: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 57933 | __pyx_v_centroid = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_float64_t const *) ( /* dim=2 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_float64_t const *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_tree->node_bounds.data + __pyx_t_2 * __pyx_v_tree->node_bounds.strides[0]) ) + __pyx_t_3 * __pyx_v_tree->node_bounds.strides[1]) )) + __pyx_t_1)) )))); | ^ sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_init_node32’: sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:59285:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 59285 | __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_tree->idx_array.data) + __pyx_t_1)) )))); | ^ sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:59308:20: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 59308 | __pyx_v_centroid = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_float32_t const *) ( /* dim=2 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_float32_t const *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_tree->node_bounds.data + __pyx_t_2 * __pyx_v_tree->node_bounds.strides[0]) ) + __pyx_t_3 * __pyx_v_tree->node_bounds.strides[1]) )) + __pyx_t_1)) )))); | ^ In function ‘__pyx_fuse_0__pyx_f_7sklearn_9neighbors_10_ball_tree__total_node_weight’, inlined from ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree32__kde_single_depthfirst’ at sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:55332:19: sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:57659:52: warning: ‘__pyx_v_sample_weight’ may be used uninitialized [-Wmaybe-uninitialized] 57659 | __pyx_v_N = (__pyx_v_N + (__pyx_v_sample_weight[(__pyx_v_idx_array[__pyx_v_i])])); | ^ sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree32__kde_single_depthfirst’: sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:54909:55: note: ‘__pyx_v_sample_weight’ was declared here 54909 | __pyx_t_7sklearn_5utils_9_typedefs_float32_t const *__pyx_v_sample_weight; | ^~~~~~~~~~~~~~~~~~~~~ In function ‘__pyx_fuse_1__pyx_f_7sklearn_9neighbors_10_ball_tree__total_node_weight’, inlined from ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree64__kde_single_depthfirst’ at sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:41510:19: sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:57718:52: warning: ‘__pyx_v_sample_weight’ may be used uninitialized [-Wmaybe-uninitialized] 57718 | __pyx_v_N = (__pyx_v_N + (__pyx_v_sample_weight[(__pyx_v_idx_array[__pyx_v_i])])); | ^ sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree64__kde_single_depthfirst’: sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:41087:55: note: ‘__pyx_v_sample_weight’ was declared here 41087 | __pyx_t_7sklearn_5utils_9_typedefs_float64_t const *__pyx_v_sample_weight; | ^~~~~~~~~~~~~~~~~~~~~ [169/249] Compiling C object sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_neighbors__kd_tree.pyx.c.o sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree64__recursive_build’: sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:32181:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 32181 | __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_self->idx_array.data) + __pyx_t_1)) )))); | ^ sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree64__query_radius_single’: sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:39596:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 39596 | __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_self->idx_array.data) + __pyx_t_2)) )))); | ^ sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree64__kde_single_breadthfirst’: sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:40149:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 40149 | __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_self->idx_array.data) + __pyx_t_2)) )))); | ^ sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree64__kde_single_depthfirst’: sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:41055:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 41055 | __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_self->idx_array.data) + __pyx_t_2)) )))); | ^ sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree64__two_point_single’: sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:41666:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 41666 | __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_self->idx_array.data) + __pyx_t_2)) )))); | ^ sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree64__two_point_dual’: sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:42069:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 42069 | __pyx_v_idx_array1 = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_self->idx_array.data) + __pyx_t_1)) )))); | ^ sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:42079:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 42079 | __pyx_v_idx_array2 = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_other->idx_array.data) + __pyx_t_1)) )))); | ^ sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree32__recursive_build’: sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:45994:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 45994 | __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_self->idx_array.data) + __pyx_t_1)) )))); | ^ sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree32__query_radius_single’: sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:53418:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 53418 | __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_self->idx_array.data) + __pyx_t_2)) )))); | ^ sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree32__kde_single_breadthfirst’: sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:53971:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 53971 | __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_self->idx_array.data) + __pyx_t_2)) )))); | ^ sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree32__kde_single_depthfirst’: sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:54877:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 54877 | __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_self->idx_array.data) + __pyx_t_2)) )))); | ^ sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree32__two_point_single’: sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:55488:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 55488 | __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_self->idx_array.data) + __pyx_t_2)) )))); | ^ sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree32__two_point_dual’: sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:55891:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 55891 | __pyx_v_idx_array1 = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_self->idx_array.data) + __pyx_t_1)) )))); | ^ sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:55901:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 55901 | __pyx_v_idx_array2 = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const *) __pyx_v_other->idx_array.data) + __pyx_t_1)) )))); | ^ sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_init_node64’: sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:57775:24: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 57775 | __pyx_v_lower_bounds = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_float64_t const *) ( /* dim=2 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_float64_t const *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_tree->node_bounds.data + __pyx_t_1 * __pyx_v_tree->node_bounds.strides[0]) ) + __pyx_t_2 * __pyx_v_tree->node_bounds.strides[1]) )) + __pyx_t_3)) )))); | ^ sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:57787:24: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 57787 | __pyx_v_upper_bounds = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_float64_t const *) ( /* dim=2 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_float64_t const *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_tree->node_bounds.data + __pyx_t_3 * __pyx_v_tree->node_bounds.strides[0]) ) + __pyx_t_2 * __pyx_v_tree->node_bounds.strides[1]) )) + __pyx_t_1)) )))); | ^ sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_init_node32’: sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:59584:24: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 59584 | __pyx_v_lower_bounds = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_float32_t const *) ( /* dim=2 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_float32_t const *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_tree->node_bounds.data + __pyx_t_1 * __pyx_v_tree->node_bounds.strides[0]) ) + __pyx_t_2 * __pyx_v_tree->node_bounds.strides[1]) )) + __pyx_t_3)) )))); | ^ sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:59596:24: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 59596 | __pyx_v_upper_bounds = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_float32_t const *) ( /* dim=2 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_float32_t const *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_tree->node_bounds.data + __pyx_t_3 * __pyx_v_tree->node_bounds.strides[0]) ) + __pyx_t_2 * __pyx_v_tree->node_bounds.strides[1]) )) + __pyx_t_1)) )))); | ^ In function ‘__pyx_fuse_0__pyx_f_7sklearn_9neighbors_8_kd_tree__total_node_weight’, inlined from ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree32__kde_single_depthfirst’ at sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:55200:19: sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:57527:52: warning: ‘__pyx_v_sample_weight’ may be used uninitialized [-Wmaybe-uninitialized] 57527 | __pyx_v_N = (__pyx_v_N + (__pyx_v_sample_weight[(__pyx_v_idx_array[__pyx_v_i])])); | ^ sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree32__kde_single_depthfirst’: sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:54777:55: note: ‘__pyx_v_sample_weight’ was declared here 54777 | __pyx_t_7sklearn_5utils_9_typedefs_float32_t const *__pyx_v_sample_weight; | ^~~~~~~~~~~~~~~~~~~~~ In function ‘__pyx_fuse_1__pyx_f_7sklearn_9neighbors_8_kd_tree__total_node_weight’, inlined from ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree64__kde_single_depthfirst’ at sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:41378:19: sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:57586:52: warning: ‘__pyx_v_sample_weight’ may be used uninitialized [-Wmaybe-uninitialized] 57586 | __pyx_v_N = (__pyx_v_N + (__pyx_v_sample_weight[(__pyx_v_idx_array[__pyx_v_i])])); | ^ sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree64__kde_single_depthfirst’: sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:40955:55: note: ‘__pyx_v_sample_weight’ was declared here 40955 | __pyx_t_7sklearn_5utils_9_typedefs_float64_t const *__pyx_v_sample_weight; | ^~~~~~~~~~~~~~~~~~~~~ [170/249] Compiling C++ object sklearn/svm/_newrand.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_svm__newrand.pyx.cpp.o [171/249] Linking static target sklearn/svm/liblibsvm-skl.a [172/249] Compiling C object sklearn/preprocessing/_csr_polynomial_expansion.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_preprocessing__csr_polynomial_expansion.pyx.c.o [173/249] Compiling C object sklearn/svm/_libsvm.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_svm__libsvm.pyx.c.o [174/249] Compiling C object sklearn/svm/_libsvm_sparse.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_svm__libsvm_sparse.pyx.c.o [175/249] Linking static target sklearn/svm/libliblinear-skl.a [176/249] Compiling C++ object sklearn/preprocessing/_target_encoder_fast.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_preprocessing__target_encoder_fast.pyx.cpp.o [177/249] Compiling C object sklearn/svm/_liblinear.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_svm__liblinear.pyx.c.o [178/249] Compiling C object sklearn/tree/_criterion.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_tree__criterion.pyx.c.o [179/249] Compiling C object sklearn/tree/_splitter.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_tree__splitter.pyx.c.o [180/249] Generating sklearn/write_built_with_meson_file with a custom command [181/249] Compiling C++ object sklearn/tree/_tree.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_tree__tree.pyx.cpp.o In file included from /usr/include/c++/14/x86_64-redhat-linux/bits/c++allocator.h:33, from /usr/include/c++/14/bits/allocator.h:46, from /usr/include/c++/14/string:43, from /usr/include/c++/14/bits/locale_classes.h:40, from /usr/include/c++/14/bits/ios_base.h:41, from /usr/include/c++/14/ios:44, from sklearn/tree/_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/tree/_tree.pyx.cpp:1266: In member function ‘std::__new_allocator::construct(long*, long const&)void’, inlined from ‘std::allocator_traits >::construct(std::allocator&, long*, long const&)void’ at /usr/include/c++/14/bits/alloc_traits.h:569:17, inlined from ‘std::deque >::_M_push_back_aux(long const&)void’ at /usr/include/c++/14/bits/deque.tcc:501:30, inlined from ‘std::deque >::push_back(long const&)’ at /usr/include/c++/14/bits/stl_deque.h:1548:20, inlined from ‘std::stack > >::push(long const&)’ at /usr/include/c++/14/bits/stl_stack.h:259:20, inlined from ‘__pyx_f_7sklearn_4tree_5_tree__cost_complexity_prune(__Pyx_memviewslice, __pyx_obj_7sklearn_4tree_5_tree_Tree*, __pyx_obj_7sklearn_4tree_5_tree__CCPPruneController*) [clone .isra.0]’ at sklearn/tree/_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/tree/_tree.pyx.cpp:43521:44: /usr/include/c++/14/bits/new_allocator.h:191:11: warning: ‘__pyx_v_pruned_branch_node_idx’ may be used uninitialized [-Wmaybe-uninitialized] 191 | { ::new((void *)__p) _Up(std::forward<_Args>(__args)...); } | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ sklearn/tree/_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/tree/_tree.pyx.cpp: In function ‘__pyx_f_7sklearn_4tree_5_tree__cost_complexity_prune(__Pyx_memviewslice, __pyx_obj_7sklearn_4tree_5_tree_Tree*, __pyx_obj_7sklearn_4tree_5_tree__CCPPruneController*) [clone .isra.0]’: sklearn/tree/_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/tree/_tree.pyx.cpp:42635:45: note: ‘__pyx_v_pruned_branch_node_idx’ was declared here 42635 | __pyx_t_7sklearn_5utils_9_typedefs_intp_t __pyx_v_pruned_branch_node_idx; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [182/249] Linking target sklearn/__check_build/_check_build.cpython-313-x86_64-linux-gnu.so [183/249] Linking target sklearn/_isotonic.cpython-313-x86_64-linux-gnu.so [184/249] Compiling C object sklearn/tree/_utils.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_tree__utils.pyx.c.o [185/249] Linking target sklearn/utils/_cython_blas.cpython-313-x86_64-linux-gnu.so [186/249] Linking target sklearn/utils/sparsefuncs_fast.cpython-313-x86_64-linux-gnu.so [187/249] Linking target sklearn/utils/arrayfuncs.cpython-313-x86_64-linux-gnu.so [188/249] Linking target 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/builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/utils/tests/test_testing.py [879/883] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/utils/tests/test_typedefs.py [880/883] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/utils/tests/test_user_interface.py [881/883] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/utils/tests/test_utils.py [882/883] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/utils/tests/test_validation.py [883/883] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/utils/tests/test_weight_vector.py Preparing metadata (pyproject.toml): finished with status 'done' Building wheels for collected packages: scikit-learn Building wheel for scikit-learn (pyproject.toml): started Running command Building wheel for scikit-learn (pyproject.toml) Building wheel for scikit-learn (pyproject.toml): finished with status 'done' Created wheel for scikit-learn: filename=scikit_learn-1.5.2-cp313-cp313-linux_x86_64.whl size=49430363 sha256=54cc09332ebe0d801a09b01cadb15fbe7b0d92b4feb38256b3ef97e0c757fa0a Stored in directory: /builddir/.cache/pip/wheels/d0/f7/ed/169788b6ef0d060c3252060e72ecfdac93fbbb182a5bfb10c0 Successfully built scikit-learn + RPM_EC=0 ++ jobs -p + exit 0 Executing(%install): /bin/sh -e /var/tmp/rpm-tmp.xIwpd4 + umask 022 + cd /builddir/build/BUILD/python-scikit-learn-1.5.2-build + '[' /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT '!=' / ']' + rm -rf /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT ++ dirname /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT + mkdir -p /builddir/build/BUILD/python-scikit-learn-1.5.2-build + mkdir /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT + CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CFLAGS + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CXXFLAGS + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FFLAGS + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FCFLAGS + VALAFLAGS=-g + export VALAFLAGS + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + export RUSTFLAGS + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes ' + export LDFLAGS + LT_SYS_LIBRARY_PATH=/usr/lib64: + export LT_SYS_LIBRARY_PATH + CC=gcc + export CC + CXX=g++ + export CXX + cd scikit_learn-1.5.2 ++ ls /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/pyproject-wheeldir/scikit_learn-1.5.2-cp313-cp313-linux_x86_64.whl ++ xargs basename --multiple ++ sed -E 's/([^-]+)-([^-]+)-.+\.whl/\1==\2/' + specifier=scikit_learn==1.5.2 + '[' -z scikit_learn==1.5.2 ']' + TMPDIR=/builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/.pyproject-builddir + /usr/bin/python3 -m pip install --root /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT --prefix /usr --no-deps --disable-pip-version-check --progress-bar off --verbose --ignore-installed --no-warn-script-location --no-index --no-cache-dir --find-links /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/pyproject-wheeldir scikit_learn==1.5.2 Using pip 24.3.1 from /usr/lib/python3.13/site-packages/pip (python 3.13) Looking in links: /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/pyproject-wheeldir Processing ./pyproject-wheeldir/scikit_learn-1.5.2-cp313-cp313-linux_x86_64.whl Installing collected packages: scikit_learn Successfully installed scikit_learn-1.5.2 + '[' -d /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/bin ']' + rm -f /builddir/build/BUILD/python-scikit-learn-1.5.2-build/python-scikit-learn-1.5.2-6.fc42.x86_64-pyproject-ghost-distinfo + site_dirs=() + '[' -d /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib/python3.13/site-packages ']' + '[' /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages '!=' /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib/python3.13/site-packages ']' + '[' -d /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages ']' + site_dirs+=("/usr/lib64/python3.13/site-packages") + for site_dir in ${site_dirs[@]} + for distinfo in /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT$site_dir/*.dist-info + echo '%ghost /usr/lib64/python3.13/site-packages/scikit_learn-1.5.2.dist-info' + sed -i s/pip/rpm/ /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/scikit_learn-1.5.2.dist-info/INSTALLER + PYTHONPATH=/usr/lib/rpm/redhat + /usr/bin/python3 -B /usr/lib/rpm/redhat/pyproject_preprocess_record.py --buildroot /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT --record /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/scikit_learn-1.5.2.dist-info/RECORD --output /builddir/build/BUILD/python-scikit-learn-1.5.2-build/python-scikit-learn-1.5.2-6.fc42.x86_64-pyproject-record removed '/builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/scikit_learn-1.5.2.dist-info/RECORD' + rm -fv /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/scikit_learn-1.5.2.dist-info/RECORD + rm -fv /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/scikit_learn-1.5.2.dist-info/REQUESTED removed '/builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/scikit_learn-1.5.2.dist-info/REQUESTED' ++ cut -f1 '-d ' ++ wc -l /builddir/build/BUILD/python-scikit-learn-1.5.2-build/python-scikit-learn-1.5.2-6.fc42.x86_64-pyproject-ghost-distinfo + lines=1 + '[' 1 -ne 1 ']' + RPM_FILES_ESCAPE=4.19 + /usr/bin/python3 /usr/lib/rpm/redhat/pyproject_save_files.py --output-files /builddir/build/BUILD/python-scikit-learn-1.5.2-build/python-scikit-learn-1.5.2-6.fc42.x86_64-pyproject-files --output-modules /builddir/build/BUILD/python-scikit-learn-1.5.2-build/python-scikit-learn-1.5.2-6.fc42.x86_64-pyproject-modules --buildroot /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT --sitelib /usr/lib/python3.13/site-packages --sitearch /usr/lib64/python3.13/site-packages --python-version 3.13 --pyproject-record /builddir/build/BUILD/python-scikit-learn-1.5.2-build/python-scikit-learn-1.5.2-6.fc42.x86_64-pyproject-record --prefix /usr sklearn + /usr/bin/find-debuginfo -j2 --strict-build-id -m -i --build-id-seed 1.5.2-6.fc42 --unique-debug-suffix -1.5.2-6.fc42.x86_64 --unique-debug-src-base python-scikit-learn-1.5.2-6.fc42.x86_64 --run-dwz --dwz-low-mem-die-limit 10000000 --dwz-max-die-limit 110000000 -S debugsourcefiles.list /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2 find-debuginfo: starting Extracting debug info from 67 files DWARF-compressing 67 files sepdebugcrcfix: Updated 67 CRC32s, 0 CRC32s did match. Creating .debug symlinks for symlinks to ELF files Copying sources found by 'debugedit -l' to /usr/src/debug/python-scikit-learn-1.5.2-6.fc42.x86_64 cpio: .mesonpy-aqmqh4kf/: Cannot stat: No such file or directory cpio: .mesonpy-aqmqh4kf/sklearn/__check_build/_check_build.cpython-313-x86_64-linux-gnu.so.p/sklearn/__check_build/_check_build.pyx.c: Cannot stat: No such file or directory cpio: .mesonpy-aqmqh4kf/sklearn/_isotonic.cpython-313-x86_64-linux-gnu.so.p/sklearn/_isotonic.pyx.c: Cannot stat: No such file or directory cpio: .mesonpy-aqmqh4kf/sklearn/_loss/_loss.cpython-313-x86_64-linux-gnu.so.p/sklearn/_loss/_loss.pyx.c: Cannot stat: No such file or directory cpio: .mesonpy-aqmqh4kf/sklearn/cluster/_dbscan_inner.cpython-313-x86_64-linux-gnu.so.p/sklearn/cluster/_dbscan_inner.pyx.cpp: Cannot stat: No such file or directory cpio: .mesonpy-aqmqh4kf/sklearn/cluster/_hdbscan/_linkage.cpython-313-x86_64-linux-gnu.so.p/sklearn/cluster/_hdbscan/_linkage.pyx.c: Cannot stat: No such file or 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/builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/__pycache__/random_projection.cpython-313.pyc: rewriting with normalized contents /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/__pycache__/pipeline.cpython-313.pyc: rewriting with normalized contents Scanned 237 directories and 2102 files, processed 811 inodes, 811 modified (490 replaced + 321 rewritten), 0 unsupported format, 0 errors Reading /builddir/build/BUILD/python-scikit-learn-1.5.2-build/SPECPARTS/rpm-debuginfo.specpart Executing(%check): /bin/sh -e /var/tmp/rpm-tmp.nmL0xg + umask 022 + cd /builddir/build/BUILD/python-scikit-learn-1.5.2-build + CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CFLAGS + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CXXFLAGS ~/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages ~/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2 + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FFLAGS + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FCFLAGS + VALAFLAGS=-g + export VALAFLAGS + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + export RUSTFLAGS + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes ' + export LDFLAGS + LT_SYS_LIBRARY_PATH=/usr/lib64: + export LT_SYS_LIBRARY_PATH + CC=gcc + export CC + CXX=g++ + export CXX + cd scikit_learn-1.5.2 + export PYTHONDONTWRITEBYTECODE=1 + PYTHONDONTWRITEBYTECODE=1 + export 'PYTEST_ADDOPTS=-p no:cacheprovider' + PYTEST_ADDOPTS='-p no:cacheprovider' + pushd /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages + pytest --deselect 'sklearn/datasets/tests/test_openml.py::test_fetch_openml_verify_checksum[True-liac-arff]' --deselect 'sklearn/datasets/tests/test_openml.py::test_fetch_openml_verify_checksum[False-liac-arff]' --deselect 'sklearn/datasets/tests/test_openml.py::test_fetch_openml_verify_checksum[True-pandas]' --deselect 'sklearn/datasets/tests/test_openml.py::test_fetch_openml_verify_checksum[False-pandas]' --deselect sklearn/covariance/tests/test_covariance.py --deselect sklearn/covariance/tests/test_robust_covariance.py --deselect sklearn/linear_model/tests/test_bayes.py::test_toy_ard_object --deselect 'sklearn/linear_model/tests/test_bayes.py::test_ard_accuracy_on_easy_problem[42-10-100]' --deselect 'sklearn/linear_model/tests/test_bayes.py::test_ard_accuracy_on_easy_problem[42-100-10]' --deselect 'sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_estimators_dtypes]' --deselect 'sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_regressors_no_decision_function]' --deselect 'sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_methods_sample_order_invariance]' --deselect 'sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_methods_subset_invariance]' --deselect 'sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_fit2d_1feature]' --deselect 'sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_dont_overwrite_parameters]' --deselect 'sklearn/tests/test_common.py::test_estimators[ARDRegression()-check_fit2d_predict1d]' --deselect 'sklearn/tests/test_common.py::test_estimators[EllipticEnvelope()-check_fit2d_1feature]' --deselect 'sklearn/tests/test_common.py::test_estimators[EmpiricalCovariance()-check_fit2d_1feature]' --deselect 'sklearn/tests/test_common.py::test_estimators[FastICA()-check_methods_sample_order_invariance]' --deselect 'sklearn/tests/test_common.py::test_estimators[FastICA()-check_methods_subset_invariance]' --deselect 'sklearn/tests/test_common.py::test_estimators[FastICA()-check_fit2d_1feature]' --deselect 'sklearn/tests/test_common.py::test_estimators[FastICA()-check_dict_unchanged]' --deselect 'sklearn/tests/test_common.py::test_estimators[FastICA()-check_dont_overwrite_parameters]' --deselect 'sklearn/tests/test_common.py::test_estimators[FastICA()-check_fit2d_predict1d]' --deselect 'sklearn/tests/test_common.py::test_estimators[KernelPCA()-check_fit2d_1sample]' --deselect 'sklearn/tests/test_common.py::test_estimators[LedoitWolf()-check_fit2d_1feature]' --deselect 'sklearn/tests/test_common.py::test_estimators[MinCovDet()-check_fit2d_1feature]' --deselect 'sklearn/tests/test_common.py::test_estimators[OAS()-check_fit2d_1feature]' --deselect 'sklearn/tests/test_common.py::test_estimators[RidgeCV()-check_fit2d_1sample]' --deselect 'sklearn/tests/test_common.py::test_estimators[RidgeClassifierCV()-check_fit2d_1sample]' --deselect 'sklearn/tests/test_common.py::test_estimators[ShrunkCovariance()-check_fit2d_1feature]' --deselect 'sklearn/utils/tests/test_validation.py::test_check_is_fitted_with_attributes[list]' --deselect sklearn/utils/tests/test_validation.py::test_check_is_fitted sklearn ============================= test session starts ============================== platform linux -- Python 3.13.0, pytest-8.3.3, pluggy-1.5.0 rootdir: /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages collected 34373 items / 53 deselected / 1 skipped / 34320 selected sklearn/_loss/tests/test_link.py ....................... 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[100%] =============================== warnings summary =============================== sklearn/utils/estimator_checks.py:457: 10 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:457: SkipTestWarning: Can't instantiate estimator ColumnTransformer parameters ['transformers'] warnings.warn(msg, SkipTestWarning) sklearn/utils/estimator_checks.py:457: 10 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:457: SkipTestWarning: Can't instantiate estimator FeatureUnion parameters ['transformer_list'] warnings.warn(msg, SkipTestWarning) sklearn/utils/estimator_checks.py:457 sklearn/utils/estimator_checks.py:457 sklearn/utils/estimator_checks.py:457 sklearn/utils/estimator_checks.py:457 sklearn/utils/estimator_checks.py:457 sklearn/utils/estimator_checks.py:457 sklearn/utils/estimator_checks.py:457 sklearn/utils/estimator_checks.py:457 /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:457: SkipTestWarning: Can't instantiate estimator GridSearchCV parameters ['estimator', 'param_grid'] warnings.warn(msg, SkipTestWarning) sklearn/utils/estimator_checks.py:457 sklearn/utils/estimator_checks.py:457 sklearn/utils/estimator_checks.py:457 sklearn/utils/estimator_checks.py:457 sklearn/utils/estimator_checks.py:457 sklearn/utils/estimator_checks.py:457 sklearn/utils/estimator_checks.py:457 sklearn/utils/estimator_checks.py:457 /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:457: SkipTestWarning: Can't instantiate estimator HalvingGridSearchCV parameters ['estimator', 'param_grid'] warnings.warn(msg, SkipTestWarning) sklearn/utils/estimator_checks.py:457 sklearn/utils/estimator_checks.py:457 sklearn/utils/estimator_checks.py:457 sklearn/utils/estimator_checks.py:457 sklearn/utils/estimator_checks.py:457 sklearn/utils/estimator_checks.py:457 sklearn/utils/estimator_checks.py:457 sklearn/utils/estimator_checks.py:457 /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:457: SkipTestWarning: Can't instantiate estimator HalvingRandomSearchCV parameters ['estimator', 'param_distributions'] warnings.warn(msg, SkipTestWarning) sklearn/utils/estimator_checks.py:457 sklearn/utils/estimator_checks.py:457 sklearn/utils/estimator_checks.py:457 sklearn/utils/estimator_checks.py:457 sklearn/utils/estimator_checks.py:457 sklearn/utils/estimator_checks.py:457 sklearn/utils/estimator_checks.py:457 sklearn/utils/estimator_checks.py:457 /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:457: SkipTestWarning: Can't instantiate estimator Pipeline parameters ['steps'] warnings.warn(msg, SkipTestWarning) sklearn/utils/estimator_checks.py:457 sklearn/utils/estimator_checks.py:457 sklearn/utils/estimator_checks.py:457 sklearn/utils/estimator_checks.py:457 sklearn/utils/estimator_checks.py:457 sklearn/utils/estimator_checks.py:457 sklearn/utils/estimator_checks.py:457 sklearn/utils/estimator_checks.py:457 /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:457: SkipTestWarning: Can't instantiate estimator RandomizedSearchCV parameters ['estimator', 'param_distributions'] warnings.warn(msg, SkipTestWarning) sklearn/utils/estimator_checks.py:457: 10 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:457: SkipTestWarning: Can't instantiate estimator SparseCoder parameters ['dictionary'] warnings.warn(msg, SkipTestWarning) sklearn/utils/estimator_checks.py:336 /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:336: SkipTestWarning: Explicit SKIP via _skip_test tag for estimator ClassifierChain. warnings.warn( sklearn/utils/estimator_checks.py:328 /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:328: SkipTestWarning: Can't test estimator CountVectorizer which requires input of type ['string'] warnings.warn( sklearn/utils/estimator_checks.py:328 /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:328: SkipTestWarning: Can't test estimator DictVectorizer which requires input of type ['dict'] warnings.warn( sklearn/utils/estimator_checks.py:328 /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:328: SkipTestWarning: Can't test estimator FeatureHasher which requires input of type ['dict'] warnings.warn( sklearn/utils/estimator_checks.py:328 /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:328: SkipTestWarning: Can't test estimator HashingVectorizer which requires input of type ['string'] warnings.warn( sklearn/utils/estimator_checks.py:328 /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:328: SkipTestWarning: Can't test estimator IsotonicRegression which requires input of type ['1darray'] warnings.warn( sklearn/utils/estimator_checks.py:328 /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:328: SkipTestWarning: Can't test estimator LabelBinarizer which requires input of type ['1dlabels'] warnings.warn( sklearn/utils/estimator_checks.py:328 /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:328: SkipTestWarning: Can't test estimator LabelEncoder which requires input of type ['1dlabels'] warnings.warn( sklearn/utils/estimator_checks.py:328 /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:328: SkipTestWarning: Can't test estimator MultiLabelBinarizer which requires input of type ['2dlabels'] warnings.warn( sklearn/utils/estimator_checks.py:336 /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:336: SkipTestWarning: Explicit SKIP via _skip_test tag for estimator MultiOutputClassifier. warnings.warn( sklearn/utils/estimator_checks.py:328 /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:328: SkipTestWarning: Can't test estimator PatchExtractor which requires input of type ['3darray'] warnings.warn( sklearn/utils/estimator_checks.py:328 /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:328: SkipTestWarning: Can't test estimator TfidfVectorizer which requires input of type ['string'] warnings.warn( ../../../../../scikit_learn-1.5.2/sklearn/utils/_typedefs.pyx:21 /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/utils/_typedefs.pyx:21: PytestCollectionWarning: cannot collect 'testing_make_array_from_typed_val' because it is not a function. def testing_make_array_from_typed_val(testing_type_t val): sklearn/cluster/tests/test_affinity_propagation.py::test_affinity_propagation_equal_points /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/cluster/_affinity_propagation.py:52: UserWarning: All samples have mutually equal similarities. Returning arbitrary cluster center(s). warnings.warn( sklearn/cluster/tests/test_bicluster.py::test_n_features_in_[est0] sklearn/preprocessing/tests/test_discretization.py::test_redundant_bins[kmeans-expected_bin_edges1] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/base.py:1473: ConvergenceWarning: Number of distinct clusters (2) found smaller than n_clusters (3). Possibly due to duplicate points in X. return fit_method(estimator, *args, **kwargs) sklearn/cluster/tests/test_birch.py::test_birch_predict[42-float64] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/cluster/_birch.py:725: ConvergenceWarning: Number of subclusters found (3) by BIRCH is less than (4). Decrease the threshold. warnings.warn( sklearn/cluster/tests/test_dbscan.py: 10 warnings sklearn/cluster/tests/test_optics.py: 2 warnings sklearn/manifold/tests/test_isomap.py: 1 warning sklearn/neighbors/tests/test_neighbors.py: 122 warnings sklearn/utils/tests/test_estimator_checks.py: 20 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neighbors/_base.py:246: EfficiencyWarning: Precomputed sparse input was not sorted by row values. Use the function sklearn.neighbors.sort_graph_by_row_values to sort the input by row values, with warn_when_not_sorted=False to remove this warning. warnings.warn( sklearn/cluster/tests/test_hdbscan.py::test_hdbscan_usable_inputs[kwargs0-X0] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/cluster/_hdbscan/hdbscan.py:266: UserWarning: The minimum spanning tree contains edge weights with value infinity. Potentially, you are missing too many distances in the initial distance matrix for the given neighborhood size. warn( sklearn/cluster/tests/test_hierarchical.py::test_affinity_passed_to_fix_connectivity /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/cluster/_agglomerative.py:594: UserWarning: the number of connected components of the connectivity matrix is 2 > 1. Completing it to avoid stopping the tree early. connectivity, n_connected_components = _fix_connectivity( sklearn/cluster/tests/test_mean_shift.py: 3 warnings sklearn/compose/tests/test_column_transformer.py: 2 warnings sklearn/decomposition/tests/test_dict_learning.py: 6 warnings sklearn/decomposition/tests/test_online_lda.py: 2 warnings sklearn/ensemble/tests/test_bagging.py: 2 warnings sklearn/manifold/tests/test_mds.py: 1 warning sklearn/metrics/tests/test_pairwise.py: 2 warnings sklearn/model_selection/tests/test_search.py: 4 warnings sklearn/neighbors/tests/test_kd_tree.py: 2 warnings sklearn/neighbors/tests/test_neighbors.py: 2 warnings sklearn/tests/test_multioutput.py: 2 warnings /usr/lib/python3.13/site-packages/joblib/externals/loky/backend/fork_exec.py:38: DeprecationWarning: This process (pid=12294) is multi-threaded, use of fork() may lead to deadlocks in the child. pid = os.fork() sklearn/cluster/tests/test_spectral.py::test_precomputed_nearest_neighbors_filtering sklearn/cluster/tests/test_spectral.py::test_precomputed_nearest_neighbors_filtering sklearn/manifold/tests/test_spectral_embedding.py::test_precomputed_nearest_neighbors_filtering sklearn/manifold/tests/test_spectral_embedding.py::test_precomputed_nearest_neighbors_filtering sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[SpectralEmbedding()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/manifold/_spectral_embedding.py:329: UserWarning: Graph is not fully connected, spectral embedding may not work as expected. warnings.warn( sklearn/cluster/tests/test_spectral.py::test_spectral_clustering_np_matrix_raises /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/cluster/tests/test_spectral.py:315: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. X = np.matrix([[0.0, 2.0], [2.0, 0.0]]) sklearn/compose/tests/test_target.py::test_transform_target_regressor_invertible /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_function_transformer.py:202: UserWarning: The provided functions are not strictly inverse of each other. If you are sure you want to proceed regardless, set 'check_inverse=False'. warnings.warn( sklearn/covariance/tests/test_graphical_lasso.py::test_graphical_lasso_n_iter[cd] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/covariance/_graph_lasso.py:139: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008809462491800035, tolerance: 8.876533008162483e-05 coefs, _, _, _ = cd_fast.enet_coordinate_descent_gram( sklearn/covariance/tests/test_graphical_lasso.py::test_graphical_lasso_n_iter[cd] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/covariance/_graph_lasso.py:139: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0010103266374812958, tolerance: 8.968620303769849e-05 coefs, _, _, _ = cd_fast.enet_coordinate_descent_gram( sklearn/covariance/tests/test_graphical_lasso.py::test_graphical_lasso_n_iter[cd] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/covariance/_graph_lasso.py:139: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.002290488556457415, tolerance: 0.00011435637954661178 coefs, _, _, _ = cd_fast.enet_coordinate_descent_gram( sklearn/covariance/tests/test_graphical_lasso.py::test_graphical_lasso_n_iter[cd] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/covariance/_graph_lasso.py:191: ConvergenceWarning: graphical_lasso: did not converge after 2 iteration: dual gap: 8.601e-03 warnings.warn( sklearn/covariance/tests/test_graphical_lasso.py: 20 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/covariance/_empirical_covariance.py:102: UserWarning: Only one sample available. You may want to reshape your data array warnings.warn( sklearn/covariance/tests/test_graphical_lasso.py::test_graphical_lasso_cv /usr/lib64/python3.13/site-packages/numpy/core/_methods.py:173: RuntimeWarning: invalid value encountered in subtract x = asanyarray(arr - arrmean) sklearn/datasets/tests/test_base.py::test_load_sample_images /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/datasets/tests/test_base.py:236: UserWarning: Could not load sample images, PIL is not available. warnings.warn("Could not load sample images, PIL is not available.") sklearn/datasets/tests/test_base.py::test_load_sample_image /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/datasets/tests/test_base.py:245: UserWarning: Could not load sample images, PIL is not available. warnings.warn("Could not load sample images, PIL is not available.") sklearn/datasets/tests/test_openml.py::test_dataset_with_openml_error[True] sklearn/datasets/tests/test_openml.py::test_dataset_with_openml_error[False] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/datasets/_openml.py:1027: UserWarning: Version 2 of dataset anneal is inactive, meaning that issues have been found in the dataset. Try using a newer version from this URL: https://www.openml.org/data/v1/download/1/anneal.arff warn( sklearn/datasets/tests/test_svmlight_format.py: 16 warnings /usr/lib64/python3.13/site-packages/scipy/sparse/_data.py:74: RuntimeWarning: invalid value encountered in cast self.data.astype(dtype, casting=casting, copy=True), sklearn/datasets/tests/test_svmlight_format.py: 12 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/datasets/tests/test_svmlight_format.py:290: RuntimeWarning: invalid value encountered in cast X_input = X.astype(dtype) sklearn/decomposition/tests/test_kernel_pca.py: 28 warnings sklearn/linear_model/tests/test_passive_aggressive.py: 2 warnings sklearn/tests/test_common.py: 3 warnings sklearn/tests/test_multioutput.py: 39 warnings sklearn/utils/tests/test_estimator_checks.py: 2 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_stochastic_gradient.py:744: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit. warnings.warn( sklearn/decomposition/tests/test_nmf.py::test_nmf_fit_close[NMF-solver1] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/decomposition/_nmf.py:1759: ConvergenceWarning: Maximum number of iterations 600 reached. Increase it to improve convergence. warnings.warn( sklearn/decomposition/tests/test_nmf.py::test_nmf_transform[mu] sklearn/decomposition/tests/test_nmf.py::test_nmf_regularization[NMF-solver0] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/decomposition/_nmf.py:1759: ConvergenceWarning: Maximum number of iterations 200 reached. Increase it to improve convergence. warnings.warn( sklearn/decomposition/tests/test_nmf.py: 24 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/decomposition/_nmf.py:1610: UserWarning: The multiplicative update ('mu') solver cannot update zeros present in the initialization, and so leads to poorer results when used jointly with init='nndsvd'. You may try init='nndsvda' or init='nndsvdar' instead. warnings.warn( sklearn/decomposition/tests/test_nmf.py::test_non_negative_factorization_consistency[0.0-1.0-cd-random] sklearn/decomposition/tests/test_nmf.py::test_non_negative_factorization_consistency[0.0-1.0-cd-random] sklearn/decomposition/tests/test_nmf.py::test_non_negative_factorization_consistency[0.0-1.0-cd-nndsvd] sklearn/decomposition/tests/test_nmf.py::test_non_negative_factorization_consistency[0.0-1.0-cd-nndsvd] sklearn/decomposition/tests/test_nmf.py::test_non_negative_factorization_consistency[1.0-0.0-cd-random] sklearn/decomposition/tests/test_nmf.py::test_non_negative_factorization_consistency[1.0-0.0-cd-random] sklearn/decomposition/tests/test_nmf.py::test_non_negative_factorization_consistency[1.0-0.0-cd-nndsvd] sklearn/decomposition/tests/test_nmf.py::test_non_negative_factorization_consistency[1.0-0.0-cd-nndsvd] sklearn/tests/test_common.py::test_transformers_get_feature_names_out[NMF()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/decomposition/_nmf.py:1759: ConvergenceWarning: Maximum number of iterations 500 reached. Increase it to improve convergence. warnings.warn( sklearn/decomposition/tests/test_nmf.py::test_nmf_negative_beta_loss[csr_matrix] sklearn/decomposition/tests/test_nmf.py::test_nmf_negative_beta_loss[csr_array] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/decomposition/_nmf.py:182: RuntimeWarning: divide by zero encountered in power sum_WH_beta = np.sum(WH**beta) sklearn/decomposition/tests/test_nmf.py::test_nmf_dtype_match[MiniBatchNMF-solver2-float32-float32] sklearn/decomposition/tests/test_nmf.py::test_nmf_dtype_match[MiniBatchNMF-solver2-float32-float32] sklearn/decomposition/tests/test_nmf.py::test_nmf_dtype_match[MiniBatchNMF-solver2-float64-float64] sklearn/decomposition/tests/test_nmf.py::test_nmf_dtype_match[MiniBatchNMF-solver2-float64-float64] sklearn/decomposition/tests/test_nmf.py::test_NMF_inverse_transform_Xt_deprecation[MiniBatchNMF] sklearn/decomposition/tests/test_nmf.py::test_nmf_n_components_auto[MiniBatchNMF] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/decomposition/_nmf.py:2341: ConvergenceWarning: Maximum number of iterations 200 reached. Increase it to improve convergence. warnings.warn( sklearn/decomposition/tests/test_nmf.py::test_nmf_n_components_default_value_warning /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/decomposition/_nmf.py:1258: RuntimeWarning: When init!='custom', provided W or H are ignored. Set init='custom' to use them as initialization. warnings.warn( sklearn/decomposition/tests/test_online_lda.py::test_lda_empty_docs[csr_matrix] sklearn/decomposition/tests/test_online_lda.py::test_lda_empty_docs[csr_array] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/decomposition/_lda.py:892: RuntimeWarning: invalid value encountered in scalar divide perword_bound = bound / word_cnt sklearn/ensemble/tests/test_bagging.py: 32 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/ensemble/_bagging.py:1020: RuntimeWarning: divide by zero encountered in log log_proba = np.log(self.predict_proba(X)) sklearn/ensemble/tests/test_bagging.py::test_oob_score_classification sklearn/ensemble/tests/test_bagging.py::test_oob_score_classification sklearn/ensemble/tests/test_bagging.py::test_oob_score_removed_on_warm_start /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/ensemble/_bagging.py:881: RuntimeWarning: invalid value encountered in divide oob_decision_function = predictions / predictions.sum(axis=1)[:, np.newaxis] sklearn/ensemble/tests/test_bagging.py::test_oob_score_removed_on_warm_start /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/ensemble/_bagging.py:875: UserWarning: Some inputs do not have OOB scores. This probably means too few estimators were used to compute any reliable oob estimates. warn( sklearn/ensemble/tests/test_bagging.py::test_bagging_regressor_with_missing_inputs sklearn/ensemble/tests/test_bagging.py::test_bagging_regressor_with_missing_inputs sklearn/tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[None] sklearn/tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[None] sklearn/tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[csc_matrix] sklearn/tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[csc_array] /usr/lib64/python3.13/site-packages/numpy/core/fromnumeric.py:88: RuntimeWarning: invalid value encountered in reduce return ufunc.reduce(obj, axis, dtype, out, **passkwargs) sklearn/ensemble/tests/test_bagging.py: 6 warnings sklearn/tree/tests/test_tree.py: 73 warnings sklearn/utils/tests/test_response.py: 1 warning /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/tree/_classes.py:1074: RuntimeWarning: divide by zero encountered in log return np.log(proba) sklearn/ensemble/tests/test_common.py: 4 warnings sklearn/linear_model/tests/test_logistic.py: 1 warning sklearn/tests/test_common.py: 5 warnings sklearn/tests/test_multioutput.py: 1 warning sklearn/tests/test_pipeline.py: 1 warning sklearn/utils/tests/test_estimator_checks.py: 1 warning sklearn/utils/tests/test_estimator_html_repr.py: 1 warning /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_logistic.py:469: ConvergenceWarning: lbfgs failed to converge (status=1): STOP: TOTAL NO. of ITERATIONS REACHED LIMIT. Increase the number of iterations (max_iter) or scale the data as shown in: https://scikit-learn.org/stable/modules/preprocessing.html Please also refer to the documentation for alternative solver options: https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression n_iter_i = _check_optimize_result( sklearn/ensemble/tests/test_forest.py::test_class_weight_errors[ExtraTreesClassifier] sklearn/ensemble/tests/test_forest.py::test_class_weight_errors[ExtraTreesClassifier] sklearn/ensemble/tests/test_forest.py::test_class_weight_errors[RandomForestClassifier] sklearn/ensemble/tests/test_forest.py::test_class_weight_errors[RandomForestClassifier] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/ensemble/_forest.py:861: UserWarning: class_weight presets "balanced" or "balanced_subsample" are not recommended for warm_start if the fitted data differs from the full dataset. In order to use "balanced" weights, use compute_class_weight ("balanced", classes, y). In place of y you can use a large enough sample of the full training set target to properly estimate the class frequency distributions. Pass the resulting weights as the class_weight parameter. warn( sklearn/ensemble/tests/test_forest.py::test_oob_not_computed_twice[ExtraTreesClassifier] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/ensemble/_forest.py:615: UserWarning: Some inputs do not have OOB scores. This probably means too few trees were used to compute any reliable OOB estimates. warn( sklearn/ensemble/tests/test_forest.py::test_mse_criterion_object_segfault_smoke_test[ExtraTreesRegressor] sklearn/ensemble/tests/test_forest.py::test_mse_criterion_object_segfault_smoke_test[RandomForestRegressor] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/base.py:1473: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel(). return fit_method(estimator, *args, **kwargs) sklearn/ensemble/tests/test_stacking.py: 30 warnings sklearn/neural_network/tests/test_mlp.py: 1 warning /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neural_network/_multilayer_perceptron.py:690: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (200) reached and the optimization hasn't converged yet. warnings.warn( sklearn/ensemble/tests/test_weight_boosting.py::test_staged_predict[SAMME] sklearn/ensemble/tests/test_weight_boosting.py::test_staged_predict[SAMME] sklearn/ensemble/tests/test_weight_boosting.py::test_staged_predict[SAMME] sklearn/ensemble/tests/test_weight_boosting.py::test_staged_predict[SAMME] sklearn/ensemble/tests/test_weight_boosting.py::test_staged_predict[SAMME] sklearn/ensemble/tests/test_weight_boosting.py::test_staged_predict[SAMME] sklearn/ensemble/tests/test_weight_boosting.py::test_staged_predict[SAMME] sklearn/ensemble/tests/test_weight_boosting.py::test_staged_predict[SAMME] sklearn/ensemble/tests/test_weight_boosting.py::test_staged_predict[SAMME] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/ensemble/_weight_boosting.py:704: RuntimeWarning: divide by zero encountered in log np.log(sample_weight) sklearn/ensemble/tests/test_weight_boosting.py: 21 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/ensemble/_weight_boosting.py:527: FutureWarning: The SAMME.R algorithm (the default) is deprecated and will be removed in 1.6. Use the SAMME algorithm to circumvent this warning. warnings.warn( sklearn/ensemble/tests/test_weight_boosting.py::test_sample_weights_infinite /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/ensemble/_weight_boosting.py:703: RuntimeWarning: overflow encountered in exp sample_weight = np.exp( sklearn/feature_extraction/tests/test_text.py::test_vectorizer_pipeline_grid_selection /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_split.py:776: UserWarning: The least populated class in y has only 4 members, which is less than n_splits=5. warnings.warn( sklearn/feature_extraction/tests/test_text.py::test_vectorizer_stop_words_inconsistent sklearn/feature_extraction/tests/test_text.py::test_vectorizer_stop_words_inconsistent sklearn/feature_extraction/tests/test_text.py::test_vectorizer_stop_words_inconsistent /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/feature_extraction/text.py:406: UserWarning: Your stop_words may be inconsistent with your preprocessing. Tokenizing the stop words generated tokens ['and', 'll', 've'] not in stop_words. warnings.warn( sklearn/feature_extraction/tests/test_text.py::test_unused_parameters_warn[None-None--ngram_range3-\\w+--'preprocessor'-'analyzer'-is callable-CountVectorizer] sklearn/feature_extraction/tests/test_text.py::test_unused_parameters_warn[None-None--ngram_range3-\\w+--'preprocessor'-'analyzer'-is callable-HashingVectorizer] sklearn/feature_extraction/tests/test_text.py::test_unused_parameters_warn[None-None--ngram_range3-\\w+--'preprocessor'-'analyzer'-is callable-TfidfVectorizer] sklearn/feature_extraction/tests/test_text.py::test_unused_parameters_warn[None-None--ngram_range3-\\w+--'preprocessor'-'analyzer'-is callable-TfidfVectorizer] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/feature_extraction/text.py:551: UserWarning: The parameter 'token_pattern' will not be used since 'analyzer' != 'word' warnings.warn( sklearn/feature_selection/tests/test_feature_select.py::test_invalid_k sklearn/feature_selection/tests/test_feature_select.py::test_invalid_k /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/feature_selection/_univariate_selection.py:112: UserWarning: Features [0] are constant. warnings.warn("Features %s are constant." % constant_features_idx, UserWarning) sklearn/feature_selection/tests/test_feature_select.py::test_invalid_k sklearn/feature_selection/tests/test_feature_select.py::test_invalid_k sklearn/feature_selection/tests/test_feature_select.py::test_f_classif_constant_feature /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/feature_selection/_univariate_selection.py:113: RuntimeWarning: invalid value encountered in divide f = msb / msw sklearn/feature_selection/tests/test_from_model.py: 4 warnings sklearn/tests/test_common.py: 12 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/feature_selection/_base.py:116: UserWarning: No features were selected: either the data is too noisy or the selection test too strict. warnings.warn( sklearn/feature_selection/tests/test_rfe.py: 49 warnings sklearn/model_selection/tests/test_search.py: 30 warnings sklearn/svm/tests/test_svm.py: 17 warnings sklearn/tests/test_calibration.py: 12 warnings sklearn/tests/test_common.py: 1 warning /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/svm/_base.py:1235: ConvergenceWarning: Liblinear failed to converge, increase the number of iterations. warnings.warn( sklearn/feature_selection/tests/test_variance_threshold.py::test_variance_nan[None] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/feature_selection/_variance_threshold.py:112: RuntimeWarning: Degrees of freedom <= 0 for slice. self.variances_ = np.nanvar(X, axis=0) sklearn/feature_selection/tests/test_variance_threshold.py::test_variance_nan[None] sklearn/feature_selection/tests/test_variance_threshold.py::test_variance_nan[bsr_matrix] sklearn/feature_selection/tests/test_variance_threshold.py::test_variance_nan[bsr_array] sklearn/feature_selection/tests/test_variance_threshold.py::test_variance_nan[csc_matrix] sklearn/feature_selection/tests/test_variance_threshold.py::test_variance_nan[csc_array] sklearn/feature_selection/tests/test_variance_threshold.py::test_variance_nan[csr_matrix] sklearn/feature_selection/tests/test_variance_threshold.py::test_variance_nan[csr_array] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/feature_selection/_variance_threshold.py:120: RuntimeWarning: All-NaN slice encountered self.variances_ = np.nanmin(compare_arr, axis=0) sklearn/gaussian_process/tests/test_gpc.py: 10 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/gaussian_process/kernels.py:452: ConvergenceWarning: The optimal value found for dimension 0 of parameter k1__constant_value is close to the specified upper bound 100.0. Increasing the bound and calling fit again may find a better value. warnings.warn( sklearn/gaussian_process/tests/test_gpc.py::test_random_starts[42] sklearn/gaussian_process/tests/test_gpr.py::test_constant_target[kernel3] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/gaussian_process/kernels.py:442: ConvergenceWarning: The optimal value found for dimension 0 of parameter k1__constant_value is close to the specified lower bound 0.01. Decreasing the bound and calling fit again may find a better value. warnings.warn( sklearn/gaussian_process/tests/test_gpc.py::test_multi_class[kernel0] sklearn/gaussian_process/tests/test_gpc.py::test_multi_class_n_jobs[kernel0] sklearn/gaussian_process/tests/test_gpr.py::test_constant_target[kernel0] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/gaussian_process/kernels.py:452: ConvergenceWarning: The optimal value found for dimension 0 of parameter length_scale is close to the specified upper bound 100000.0. Increasing the bound and calling fit again may find a better value. warnings.warn( sklearn/gaussian_process/tests/test_gpr.py: 24 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/gaussian_process/kernels.py:442: ConvergenceWarning: The optimal value found for dimension 0 of parameter k2__constant_value is close to the specified lower bound 1e-05. Decreasing the bound and calling fit again may find a better value. warnings.warn( sklearn/gaussian_process/tests/test_gpr.py: 13 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/gaussian_process/kernels.py:442: ConvergenceWarning: The optimal value found for dimension 0 of parameter k1__k2__length_scale is close to the specified lower bound 0.001. Decreasing the bound and calling fit again may find a better value. warnings.warn( sklearn/gaussian_process/tests/test_gpr.py::test_anisotropic_kernel /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/gaussian_process/_gpr.py:659: ConvergenceWarning: lbfgs failed to converge (status=2): ABNORMAL_TERMINATION_IN_LNSRCH. Increase the number of iterations (max_iter) or scale the data as shown in: https://scikit-learn.org/stable/modules/preprocessing.html _check_optimize_result("lbfgs", opt_res) sklearn/gaussian_process/tests/test_gpr.py::test_random_starts /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/gaussian_process/kernels.py:442: ConvergenceWarning: The optimal value found for dimension 0 of parameter k1__k2__length_scale is close to the specified lower bound 0.0001. Decreasing the bound and calling fit again may find a better value. warnings.warn( sklearn/gaussian_process/tests/test_gpr.py::test_random_starts /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/gaussian_process/kernels.py:442: ConvergenceWarning: The optimal value found for dimension 1 of parameter k1__k2__length_scale is close to the specified lower bound 0.0001. Decreasing the bound and calling fit again may find a better value. warnings.warn( sklearn/gaussian_process/tests/test_gpr.py::test_bound_check_fixed_hyperparameter /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/gaussian_process/kernels.py:442: ConvergenceWarning: The optimal value found for dimension 0 of parameter k1__k2__length_scale is close to the specified lower bound 1e-05. Decreasing the bound and calling fit again may find a better value. warnings.warn( sklearn/gaussian_process/tests/test_gpr.py::test_constant_target[kernel2] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/gaussian_process/kernels.py:452: ConvergenceWarning: The optimal value found for dimension 0 of parameter length_scale is close to the specified upper bound 1000.0. Increasing the bound and calling fit again may find a better value. warnings.warn( sklearn/gaussian_process/tests/test_gpr.py::test_constant_target[kernel3] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/gaussian_process/kernels.py:452: ConvergenceWarning: The optimal value found for dimension 0 of parameter k2__length_scale is close to the specified upper bound 1000.0. Increasing the bound and calling fit again may find a better value. warnings.warn( sklearn/gaussian_process/tests/test_gpr.py::test_constant_target[kernel4] sklearn/gaussian_process/tests/test_gpr.py::test_constant_target[kernel5] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/gaussian_process/kernels.py:442: ConvergenceWarning: The optimal value found for dimension 0 of parameter k1__k1__constant_value is close to the specified lower bound 0.01. Decreasing the bound and calling fit again may find a better value. warnings.warn( sklearn/gaussian_process/tests/test_gpr.py::test_constant_target[kernel4] sklearn/gaussian_process/tests/test_gpr.py::test_constant_target[kernel5] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/gaussian_process/kernels.py:452: ConvergenceWarning: The optimal value found for dimension 0 of parameter k1__k2__length_scale is close to the specified upper bound 1000.0. Increasing the bound and calling fit again may find a better value. warnings.warn( sklearn/gaussian_process/tests/test_gpr.py::test_gpr_fit_error[params1-ValueError-requires that all bounds are finite] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/gaussian_process/kernels.py:357: RuntimeWarning: invalid value encountered in log return np.log(np.vstack(bounds)) sklearn/gaussian_process/tests/test_gpr.py::test_gpr_predict_input_not_modified /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/gaussian_process/kernels.py:452: ConvergenceWarning: The optimal value found for dimension 0 of parameter constant_value is close to the specified upper bound 100000.0. Increasing the bound and calling fit again may find a better value. warnings.warn( sklearn/gaussian_process/tests/test_gpr.py::test_gpr_predict_input_not_modified /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/gaussian_process/_gpr.py:477: UserWarning: Predicted variances smaller than 0. Setting those variances to 0. warnings.warn( sklearn/impute/tests/test_common.py: 16 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/impute/_base.py:598: UserWarning: Skipping features without any observed values: [3]. At least one non-missing value is needed for imputation with strategy='mean'. warnings.warn( sklearn/impute/tests/test_common.py: 20 warnings sklearn/impute/tests/test_impute.py: 4 warnings sklearn/impute/tests/test_knn.py: 61 warnings sklearn/tests/test_common.py: 1 warning /usr/lib64/python3.13/site-packages/numpy/ma/extras.py:617: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.) scl = avg.dtype.type(a.count(axis)) sklearn/impute/tests/test_common.py: 4 warnings sklearn/impute/tests/test_impute.py: 8 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/impute/_base.py:598: UserWarning: Skipping features without any observed values: [0]. At least one non-missing value is needed for imputation with strategy='mean'. warnings.warn( sklearn/impute/tests/test_impute.py: 33 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/impute/_iterative.py:825: ConvergenceWarning: [IterativeImputer] Early stopping criterion not reached. warnings.warn( sklearn/impute/tests/test_impute.py::test_imputation_mean_median[csc_matrix] sklearn/impute/tests/test_impute.py::test_imputation_mean_median[csc_array] sklearn/impute/tests/test_impute.py::test_simple_imputer_keep_empty_features[False-median-array] sklearn/impute/tests/test_impute.py::test_simple_imputer_keep_empty_features[False-median-array] sklearn/impute/tests/test_impute.py::test_simple_imputer_keep_empty_features[False-median-sparse] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/impute/_base.py:598: UserWarning: Skipping features without any observed values: [0]. At least one non-missing value is needed for imputation with strategy='median'. warnings.warn( sklearn/impute/tests/test_impute.py: 10 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/impute/_base.py:598: UserWarning: Skipping features without any observed values: [0]. At least one non-missing value is needed for imputation with strategy='most_frequent'. warnings.warn( sklearn/impute/tests/test_impute.py::test_iterative_imputer_all_missing sklearn/impute/tests/test_impute.py::test_iterative_imputer_all_missing /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/impute/_base.py:598: UserWarning: Skipping features without any observed values: [0 1 2]. At least one non-missing value is needed for imputation with strategy='mean'. warnings.warn( sklearn/impute/tests/test_knn.py::test_knn_imputer_with_simple_example[-1-0] sklearn/impute/tests/test_knn.py::test_knn_imputer_with_simple_example[nan-0] sklearn/impute/tests/test_knn.py::test_knn_imputer_distance_weighted_not_enough_neighbors[-1-0] sklearn/impute/tests/test_knn.py::test_knn_imputer_distance_weighted_not_enough_neighbors[-1-0] sklearn/impute/tests/test_knn.py::test_knn_imputer_distance_weighted_not_enough_neighbors[nan-0] sklearn/impute/tests/test_knn.py::test_knn_imputer_distance_weighted_not_enough_neighbors[nan-0] sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_chunked_reduce[float64] sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_chunked_reduce_none[float64] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/_chunking.py:169: UserWarning: Could not adhere to working_memory config. Currently 0MiB, 1MiB required. warnings.warn( sklearn/linear_model/tests/test_common.py: 1 warning sklearn/linear_model/tests/test_passive_aggressive.py: 12 warnings sklearn/tests/test_common.py: 2 warnings sklearn/tests/test_multioutput.py: 1 warning /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_stochastic_gradient.py:1616: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit. warnings.warn( sklearn/linear_model/tests/test_common.py: 1 warning sklearn/linear_model/tests/test_logistic.py: 1 warning sklearn/linear_model/tests/test_ridge.py: 18 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_sag.py:349: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge warnings.warn( sklearn/linear_model/tests/test_coordinate_descent.py::test_lasso_zero sklearn/linear_model/tests/test_coordinate_descent.py::test_uniform_targets sklearn/linear_model/tests/test_coordinate_descent.py::test_uniform_targets sklearn/linear_model/tests/test_coordinate_descent.py::test_uniform_targets sklearn/linear_model/tests/test_coordinate_descent.py::test_uniform_targets /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:697: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 0.000e+00, tolerance: 0.000e+00 model = cd_fast.enet_coordinate_descent( sklearn/linear_model/tests/test_coordinate_descent.py::test_enet_nonfinite_params sklearn/neural_network/tests/test_mlp.py::test_nonfinite_params /usr/lib64/python3.13/site-packages/numpy/core/_methods.py:118: RuntimeWarning: overflow encountered in reduce ret = umr_sum(arr, axis, dtype, out, keepdims, where=where) sklearn/linear_model/tests/test_coordinate_descent.py::test_enet_nonfinite_params /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:697: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: nan, tolerance: 2.100e-04 model = cd_fast.enet_coordinate_descent( sklearn/linear_model/tests/test_coordinate_descent.py::test_enet_nonfinite_params /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_base.py:320: RuntimeWarning: invalid value encountered in matmul intercept_ = y_offset - X_offset @ coef_ sklearn/linear_model/tests/test_coordinate_descent.py: 54 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.7763568394002505e-15, tolerance: 1.404036409324171e-15 model = cd_fast.enet_coordinate_descent_gram( sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1] sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1] sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1] sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 3.552713678800501e-15, tolerance: 1.404036409324171e-15 model = cd_fast.enet_coordinate_descent_gram( sklearn/linear_model/tests/test_coordinate_descent.py: 44 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.7763568394002505e-15, tolerance: 1.285830869609557e-15 model = cd_fast.enet_coordinate_descent_gram( sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1] sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1] sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1] sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1] sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1] sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 3.552713678800501e-15, tolerance: 1.285830869609557e-15 model = cd_fast.enet_coordinate_descent_gram( sklearn/linear_model/tests/test_coordinate_descent.py: 38 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.7763568394002505e-15, tolerance: 1.4340335165128714e-15 model = cd_fast.enet_coordinate_descent_gram( sklearn/linear_model/tests/test_coordinate_descent.py: 46 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.7763568394002505e-15, tolerance: 1.4257797990385122e-15 model = cd_fast.enet_coordinate_descent_gram( sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1] sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 3.552713678800501e-15, tolerance: 1.4257797990385122e-15 model = cd_fast.enet_coordinate_descent_gram( sklearn/linear_model/tests/test_coordinate_descent.py: 36 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.7763568394002505e-15, tolerance: 1.3875425663975809e-15 model = cd_fast.enet_coordinate_descent_gram( sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1] sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1] sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1] sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 3.552713678800501e-15, tolerance: 1.3875425663975809e-15 model = cd_fast.enet_coordinate_descent_gram( sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1] sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:697: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.553e-15, tolerance: 1.738e-15 model = cd_fast.enet_coordinate_descent( sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1] sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:658: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.7763568394002505e-15, tolerance: 1.404036409324171e-15 model = cd_fast.sparse_enet_coordinate_descent( sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1] sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:658: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.0125233984581428e-13, tolerance: 1.285830869609557e-15 model = cd_fast.sparse_enet_coordinate_descent( sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1] sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:658: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.7763568394002505e-14, tolerance: 1.285830869609557e-15 model = cd_fast.sparse_enet_coordinate_descent( sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1] sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:658: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.474376176702208e-13, tolerance: 1.285830869609557e-15 model = cd_fast.sparse_enet_coordinate_descent( sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1] sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:658: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7.105427357601002e-15, tolerance: 1.285830869609557e-15 model = cd_fast.sparse_enet_coordinate_descent( sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1] sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:658: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 3.552713678800501e-15, tolerance: 1.285830869609557e-15 model = cd_fast.sparse_enet_coordinate_descent( sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1] sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:658: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.7763568394002505e-15, tolerance: 1.4340335165128714e-15 model = cd_fast.sparse_enet_coordinate_descent( sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1] sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:658: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 3.552713678800501e-15, tolerance: 1.4340335165128714e-15 model = cd_fast.sparse_enet_coordinate_descent( sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1] sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:658: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 7.105427357601002e-15, tolerance: 1.4257797990385122e-15 model = cd_fast.sparse_enet_coordinate_descent( sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1] sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:658: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 3.552713678800501e-15, tolerance: 1.4257797990385122e-15 model = cd_fast.sparse_enet_coordinate_descent( sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1] sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:658: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.7763568394002505e-15, tolerance: 1.4257797990385122e-15 model = cd_fast.sparse_enet_coordinate_descent( sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1] sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:658: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5.861977570020827e-14, tolerance: 1.4257797990385122e-15 model = cd_fast.sparse_enet_coordinate_descent( sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1] sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:658: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 1.7763568394002505e-15, tolerance: 1.3875425663975809e-15 model = cd_fast.sparse_enet_coordinate_descent( sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1] sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:658: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 5.329070518200751e-15, tolerance: 1.3875425663975809e-15 model = cd_fast.sparse_enet_coordinate_descent( sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-LassoCV-params1] sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-LassoCV-params1] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:658: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 3.552713678800501e-15, tolerance: 1.3875425663975809e-15 model = cd_fast.sparse_enet_coordinate_descent( sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-ElasticNet-params5] sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-ElasticNet-params5] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:697: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.519e+00, tolerance: 1.738e-15 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead. model = cd_fast.enet_coordinate_descent( sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_matrix-ElasticNet-params5] sklearn/linear_model/tests/test_coordinate_descent.py::test_model_pipeline_same_dense_and_sparse[csr_array-ElasticNet-params5] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:658: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 8.519405806421231, tolerance: 1.738326821656069e-15 model = cd_fast.sparse_enet_coordinate_descent( sklearn/linear_model/tests/test_coordinate_descent.py::test_lasso_alpha_warning /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:697: UserWarning: Coordinate descent with no regularization may lead to unexpected results and is discouraged. model = cd_fast.enet_coordinate_descent( sklearn/linear_model/tests/test_coordinate_descent.py: 60 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0, tolerance: 0.0 model = cd_fast.enet_coordinate_descent_gram( sklearn/linear_model/tests/test_coordinate_descent.py: 20 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0, tolerance: 0.0 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/linear_model/tests/test_coordinate_descent.py::test_uniform_targets sklearn/linear_model/tests/test_coordinate_descent.py::test_uniform_targets sklearn/linear_model/tests/test_coordinate_descent.py::test_uniform_targets sklearn/linear_model/tests/test_coordinate_descent.py::test_uniform_targets /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:2639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0, tolerance: 0.0 ) = cd_fast.enet_coordinate_descent_multi_task( sklearn/linear_model/tests/test_coordinate_descent.py::test_multitask_enet_and_lasso_cv /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:2639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 2.5515863893489263, tolerance: 2.1444555087788615 ) = cd_fast.enet_coordinate_descent_multi_task( sklearn/linear_model/tests/test_coordinate_descent.py::test_multitask_enet_and_lasso_cv /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:2639: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 2.1730065816502204, tolerance: 2.1444555087788615 ) = cd_fast.enet_coordinate_descent_multi_task( sklearn/linear_model/tests/test_coordinate_descent.py::test_check_input_false /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:697: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 6.109e-07, tolerance: 1.896e-07 model = cd_fast.enet_coordinate_descent( sklearn/linear_model/tests/test_coordinate_descent.py::test_check_input_false /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:697: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 6.706e-07, tolerance: 1.972e-07 model = cd_fast.enet_coordinate_descent( sklearn/linear_model/tests/test_coordinate_descent.py::test_check_input_false /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:697: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.494e-07, tolerance: 1.723e-07 model = cd_fast.enet_coordinate_descent( sklearn/linear_model/tests/test_coordinate_descent.py::test_check_input_false /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:697: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.310e-07, tolerance: 1.633e-07 model = cd_fast.enet_coordinate_descent( sklearn/linear_model/tests/test_coordinate_descent.py::test_check_input_false /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:697: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.222e-06, tolerance: 2.232e-07 model = cd_fast.enet_coordinate_descent( sklearn/linear_model/tests/test_coordinate_descent.py::test_check_input_false /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:697: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.707e-07, tolerance: 1.215e-07 model = cd_fast.enet_coordinate_descent( sklearn/linear_model/tests/test_coordinate_descent.py::test_enet_l1_ratio /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 62.45000000000001, tolerance: 0.013475 model = cd_fast.enet_coordinate_descent_gram( sklearn/linear_model/tests/test_coordinate_descent.py::test_enet_l1_ratio /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 56.96052631578947, tolerance: 0.013075 model = cd_fast.enet_coordinate_descent_gram( sklearn/linear_model/tests/test_coordinate_descent.py::test_enet_l1_ratio /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 61.263684210526314, tolerance: 0.0134 model = cd_fast.enet_coordinate_descent_gram( sklearn/linear_model/tests/test_coordinate_descent.py::test_enet_l1_ratio /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 3.771904761904768, tolerance: 0.0029000000000000002 model = cd_fast.enet_coordinate_descent_gram( sklearn/linear_model/tests/test_coordinate_descent.py::test_enet_l1_ratio /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 25.586363636363632, tolerance: 0.0077 model = cd_fast.enet_coordinate_descent_gram( sklearn/linear_model/tests/test_coordinate_descent.py::test_enet_l1_ratio /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:697: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 6.309e+01, tolerance: 1.348e-02 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead. model = cd_fast.enet_coordinate_descent( sklearn/linear_model/tests/test_coordinate_descent.py::test_enet_ridge_consistency[0.1] sklearn/linear_model/tests/test_coordinate_descent.py::test_enet_ridge_consistency[1.0] sklearn/linear_model/tests/test_coordinate_descent.py::test_enet_ridge_consistency[1000000.0] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:697: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.757e+03, tolerance: 2.375e-08 Linear regression models with null weight for the l1 regularization term are more efficiently fitted using one of the solvers implemented in sklearn.linear_model.Ridge/RidgeCV instead. model = cd_fast.enet_coordinate_descent( sklearn/linear_model/tests/test_huber.py::test_huber_max_iter sklearn/linear_model/tests/test_quantile.py::test_quantile_equals_huber_for_low_epsilon[True] sklearn/linear_model/tests/test_quantile.py::test_quantile_equals_huber_for_low_epsilon[False] sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[HuberRegressor()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_huber.py:342: ConvergenceWarning: lbfgs failed to converge (status=1): STOP: TOTAL NO. of ITERATIONS REACHED LIMIT. Increase the number of iterations (max_iter) or scale the data as shown in: https://scikit-learn.org/stable/modules/preprocessing.html self.n_iter_ = _check_optimize_result("lbfgs", opt_res, self.max_iter) sklearn/linear_model/tests/test_omp.py::test_unreachable_accuracy sklearn/linear_model/tests/test_omp.py::test_unreachable_accuracy sklearn/linear_model/tests/test_omp.py::test_omp_cv sklearn/linear_model/tests/test_omp.py::test_omp_cv sklearn/linear_model/tests/test_omp.py::test_omp_cv sklearn/linear_model/tests/test_omp.py::test_omp_cv /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_omp.py:445: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met. out = _cholesky_omp( sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized[wide-42-True-cholesky] sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_hstacked_X[wide-42-True-cholesky] sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[wide-42-True-cholesky] sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[wide-42-False-cholesky] sklearn/linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeClassifierCV-3] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_ridge.py:255: UserWarning: Singular matrix in solving dual problem. Using least-squares solution instead. warnings.warn( sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_convergence_fail /usr/lib64/python3.13/site-packages/scipy/sparse/linalg/_isolve/iterative.py:378: RuntimeWarning: invalid value encountered in scalar divide alpha = rho_cur / dotprod(p, q) sklearn/linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeCV-3] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_ridge.py:253: LinAlgWarning: Ill-conditioned matrix (rcond=5.74507e-17): result may not be accurate. dual_coef = linalg.solve(K, y, assume_a="pos", overwrite_a=False) sklearn/linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeCV-3] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_ridge.py:253: LinAlgWarning: Ill-conditioned matrix (rcond=5.49293e-17): result may not be accurate. dual_coef = linalg.solve(K, y, assume_a="pos", overwrite_a=False) sklearn/linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeCV-3] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_ridge.py:253: LinAlgWarning: Ill-conditioned matrix (rcond=3.15218e-17): result may not be accurate. dual_coef = linalg.solve(K, y, assume_a="pos", overwrite_a=False) sklearn/linear_model/tests/test_ridge.py: 57 warnings sklearn/model_selection/tests/test_search.py: 10 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_regression.py:1211: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples. warnings.warn(msg, UndefinedMetricWarning) sklearn/linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeCV-3] sklearn/linear_model/tests/test_ridge.py::test_ridgecv_sample_weight sklearn/linear_model/tests/test_ridge.py::test_ridgecv_sample_weight sklearn/linear_model/tests/test_ridge.py::test_ridgecv_sample_weight sklearn/linear_model/tests/test_ridge.py::test_ridgecv_sample_weight /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_search.py:1103: UserWarning: One or more of the test scores are non-finite: [nan nan nan] warnings.warn( sklearn/linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeCV-3] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_ridge.py:216: LinAlgWarning: Ill-conditioned matrix (rcond=4.53866e-18): result may not be accurate. return linalg.solve(A, Xy, assume_a="pos", overwrite_a=True).T sklearn/linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeClassifierCV-3] sklearn/model_selection/tests/test_search.py::test_search_with_2d_array sklearn/tests/test_common.py::test_class_weight_balanced_linear_classifiers[LogisticRegressionCV-LogisticRegressionCV] sklearn/tests/test_common.py::test_class_weight_balanced_linear_classifiers[LogisticRegressionCV-LogisticRegressionCV] sklearn/tests/test_common.py::test_class_weight_balanced_linear_classifiers[RidgeClassifierCV-RidgeClassifierCV] sklearn/tests/test_common.py::test_class_weight_balanced_linear_classifiers[RidgeClassifierCV-RidgeClassifierCV] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_split.py:776: UserWarning: The least populated class in y has only 2 members, which is less than n_splits=3. warnings.warn( sklearn/linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeClassifierCV-3] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_ridge.py:253: LinAlgWarning: Ill-conditioned matrix (rcond=7.76968e-17): result may not be accurate. dual_coef = linalg.solve(K, y, assume_a="pos", overwrite_a=False) sklearn/linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeClassifierCV-3] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_ridge.py:253: LinAlgWarning: Ill-conditioned matrix (rcond=2.38404e-17): result may not be accurate. dual_coef = linalg.solve(K, y, assume_a="pos", overwrite_a=False) sklearn/linear_model/tests/test_ridge.py::test_lbfgs_solver_consistency[1.0] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_ridge.py:359: ConvergenceWarning: The lbfgs solver did not converge. Try increasing max_iter or tol. Currently: max_iter=500000 and tol=1e-16 warnings.warn( sklearn/linear_model/tests/test_sparse_coordinate_descent.py::test_lasso_zero[csc_matrix] sklearn/linear_model/tests/test_sparse_coordinate_descent.py::test_lasso_zero[csc_array] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:658: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0, tolerance: 0.0 model = cd_fast.sparse_enet_coordinate_descent( sklearn/manifold/tests/test_isomap.py::test_transform[float64-2-None] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/manifold/_isomap.py:383: UserWarning: The number of connected components of the neighbors graph is 15 > 1. Completing the graph to fit Isomap might be slow. Increase the number of neighbors to avoid this issue. self._fit_transform(X) sklearn/manifold/tests/test_isomap.py: 133 warnings sklearn/tests/test_common.py: 20 warnings sklearn/utils/tests/test_graph.py: 4 warnings sklearn/utils/tests/test_validation.py: 16 warnings /usr/lib64/python3.13/site-packages/scipy/sparse/_index.py:108: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil and dok are more efficient. self._set_intXint(row, col, x.flat[0]) sklearn/manifold/tests/test_isomap.py::test_pipeline[float64-2-None] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/manifold/_isomap.py:383: UserWarning: The number of connected components of the neighbors graph is 7 > 1. Completing the graph to fit Isomap might be slow. Increase the number of neighbors to avoid this issue. self._fit_transform(X) sklearn/manifold/tests/test_isomap.py::test_get_feature_names_out /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/manifold/_isomap.py:383: UserWarning: The number of connected components of the neighbors graph is 3 > 1. Completing the graph to fit Isomap might be slow. Increase the number of neighbors to avoid this issue. self._fit_transform(X) sklearn/metrics/tests/test_classification.py::test_classification_report_output_dict_empty_input /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior. _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result)) sklearn/metrics/tests/test_classification.py::test_classification_report_output_dict_empty_input /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior. _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result)) sklearn/metrics/tests/test_classification.py::test_classification_report_output_dict_empty_input /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 due to no true nor predicted samples. Use `zero_division` parameter to control this behavior. _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result)) sklearn/metrics/tests/test_classification.py::test_classification_report_labels_subset_superset[labels2-False] sklearn/metrics/tests/test_classification.py::test_classification_report_labels_subset_superset[labels2-False] sklearn/metrics/tests/test_classification.py::test_classification_report_labels_subset_superset[labels2-False] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior. _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result)) sklearn/metrics/tests/test_classification.py::test_classification_report_labels_subset_superset[labels2-False] sklearn/metrics/tests/test_classification.py::test_classification_report_labels_subset_superset[labels2-False] sklearn/metrics/tests/test_classification.py::test_classification_report_labels_subset_superset[labels2-False] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior. _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result)) sklearn/metrics/tests/test_classification.py::test_classification_report_labels_subset_superset[labels2-False] sklearn/metrics/tests/test_classification.py::test_classification_report_labels_subset_superset[labels2-False] sklearn/metrics/tests/test_classification.py::test_classification_report_labels_subset_superset[labels2-False] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in labels with no true nor predicted samples. Use `zero_division` parameter to control this behavior. _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result)) sklearn/metrics/tests/test_classification.py::test_likelihood_ratios_warnings[params0-samples of only one class were seen during testing] sklearn/metrics/tests/test_classification.py::test_matthews_corrcoef /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:409: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels. warnings.warn( sklearn/metrics/tests/test_classification.py::test_likelihood_ratios_warnings[params4-no samples of the positive class were present in the testing set] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:2025: RuntimeWarning: invalid value encountered in scalar divide positive_likelihood_ratio = pos_num / pos_denom sklearn/metrics/tests/test_classification.py::test_likelihood_ratios_warnings[params4-no samples of the positive class were present in the testing set] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:2032: RuntimeWarning: invalid value encountered in scalar divide negative_likelihood_ratio = neg_num / neg_denom sklearn/metrics/tests/test_classification.py::test_likelihood_ratios /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/_param_validation.py:213: UserWarning: positive_likelihood_ratio ill-defined and being set to nan return func(*args, **kwargs) sklearn/metrics/tests/test_classification.py::test_balanced_accuracy_score[y_true2-y_pred2] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:2480: UserWarning: y_pred contains classes not in y_true warnings.warn("y_pred contains classes not in y_true") sklearn/metrics/tests/test_classification.py::test_classification_metric_pos_label_types[classes3-precision_recall_fscore_support] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:1583: UserWarning: Note that pos_label (set to 'one') is ignored when average != 'binary' (got None). You may use labels=[pos_label] to specify a single positive class. warnings.warn( sklearn/metrics/tests/test_common.py: 301 warnings sklearn/tests/test_common.py: 28 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/_array_api.py:390: RuntimeWarning: invalid value encountered in cast return x.astype(dtype, copy=copy, casting=casting) sklearn/metrics/tests/test_common.py::test_normalize_option_binary_classification[top_k_accuracy_score] sklearn/metrics/tests/test_common.py::test_normalize_option_binary_classification[top_k_accuracy_score] sklearn/metrics/tests/test_ranking.py::test_top_k_accuracy_score_binary[y_score2-2-1] sklearn/metrics/tests/test_ranking.py::test_top_k_accuracy_score_binary[y_score5-2-1] sklearn/metrics/tests/test_score_objects.py::test_classification_binary_scores[top_k_accuracy-top_k_accuracy_score] sklearn/metrics/tests/test_score_objects.py::test_classification_binary_scores[top_k_accuracy-top_k_accuracy_score] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_ranking.py:2025: UndefinedMetricWarning: 'k' (2) greater than or equal to 'n_classes' (2) will result in a perfect score and is therefore meaningless. warnings.warn( sklearn/metrics/tests/test_common.py: 25 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in samples with no predicted labels. Use `zero_division` parameter to control this behavior. _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result)) sklearn/metrics/tests/test_ranking.py::test_precision_recall_curve_drop_intermediate /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_ranking.py:1030: UserWarning: No positive class found in y_true, recall is set to one for all thresholds. warnings.warn( sklearn/metrics/tests/test_regression.py::test_multioutput_regression /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/tests/test_regression.py:174: RuntimeWarning: invalid value encountered in scalar divide - np.abs(y_true[:, i] - y_pred[:, i]).sum() sklearn/metrics/tests/test_regression.py::test_multioutput_regression sklearn/metrics/tests/test_regression.py::test_multioutput_regression sklearn/metrics/tests/test_regression.py::test_multioutput_regression sklearn/metrics/tests/test_regression.py::test_regression_metrics_at_limits sklearn/metrics/tests/test_regression.py::test_regression_metrics_at_limits sklearn/metrics/tests/test_regression.py::test_regression_multioutput_array sklearn/metrics/tests/test_regression.py::test_regression_multioutput_array sklearn/metrics/tests/test_regression.py::test_regression_multioutput_array sklearn/metrics/tests/test_regression.py::test_regression_multioutput_array /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_regression.py:876: RuntimeWarning: invalid value encountered in divide output_scores = 1 - (numerator / denominator) sklearn/metrics/tests/test_regression.py::test_multioutput_regression sklearn/metrics/tests/test_regression.py::test_regression_metrics_at_limits sklearn/metrics/tests/test_regression.py::test_regression_metrics_at_limits sklearn/metrics/tests/test_regression.py::test_regression_multioutput_array /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_regression.py:876: RuntimeWarning: divide by zero encountered in divide output_scores = 1 - (numerator / denominator) sklearn/mixture/tests/test_bayesian_mixture.py: 349 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/mixture/_bayesian_mixture.py:812: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.) log_wishart = self.n_components * np.float64( sklearn/mixture/tests/test_gaussian_mixture.py::test_regularisation sklearn/mixture/tests/test_gaussian_mixture.py::test_regularisation sklearn/mixture/tests/test_gaussian_mixture.py::test_regularisation sklearn/mixture/tests/test_gaussian_mixture.py::test_regularisation sklearn/mixture/tests/test_gaussian_mixture.py::test_regularisation sklearn/mixture/tests/test_gaussian_mixture.py::test_regularisation sklearn/mixture/tests/test_gaussian_mixture.py::test_regularisation sklearn/mixture/tests/test_gaussian_mixture.py::test_regularisation /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/base.py:1473: ConvergenceWarning: Number of distinct clusters (2) found smaller than n_clusters (10). Possibly due to duplicate points in X. return fit_method(estimator, *args, **kwargs) sklearn/mixture/tests/test_gaussian_mixture.py::test_gaussian_mixture_setting_best_params sklearn/mixture/tests/test_mixture.py::test_gaussian_mixture_n_iter[estimator0] sklearn/mixture/tests/test_mixture.py::test_gaussian_mixture_n_iter[estimator1] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/mixture/_base.py:270: ConvergenceWarning: Best performing initialization did not converge. Try different init parameters, or increase max_iter, tol, or check for degenerate data. warnings.warn( sklearn/model_selection/tests/test_search.py::test_SearchCV_with_fit_params[RandomizedSearchCV] sklearn/model_selection/tests/test_search.py::test_SearchCV_with_fit_params[RandomizedSearchCV] sklearn/model_selection/tests/test_search.py::test_SearchCV_with_fit_params[RandomizedSearchCV] sklearn/model_selection/tests/test_search.py::test_empty_cv_iterator_error sklearn/model_selection/tests/test_search.py::test_random_search_bad_cv sklearn/model_selection/tests/test_search.py::test_inverse_transform_Xt_deprecation[RandomizedSearchCV] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_search.py:320: UserWarning: The total space of parameters 3 is smaller than n_iter=10. Running 3 iterations. For exhaustive searches, use GridSearchCV. warnings.warn( sklearn/model_selection/tests/test_search.py: 4 warnings sklearn/model_selection/tests/test_successive_halving.py: 1 warning sklearn/tests/test_metaestimators_metadata_routing.py: 6 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_search.py:320: UserWarning: The total space of parameters 2 is smaller than n_iter=10. Running 2 iterations. For exhaustive searches, use GridSearchCV. warnings.warn( sklearn/model_selection/tests/test_search.py::test_random_search_cv_results_multimetric sklearn/model_selection/tests/test_search.py::test_random_search_cv_results_multimetric sklearn/model_selection/tests/test_search.py::test_random_search_cv_results_multimetric sklearn/model_selection/tests/test_search.py::test_random_search_cv_results_multimetric sklearn/model_selection/tests/test_search.py::test_random_search_cv_results_multimetric sklearn/model_selection/tests/test_search.py::test_random_search_cv_results_multimetric /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_search.py:320: UserWarning: The total space of parameters 9 is smaller than n_iter=30. Running 9 iterations. For exhaustive searches, use GridSearchCV. warnings.warn( sklearn/model_selection/tests/test_search.py::test_search_cv_results_none_param /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_search.py:1103: UserWarning: One or more of the test scores are non-finite: [nan nan] warnings.warn( sklearn/model_selection/tests/test_search.py::test_grid_search_failing_classifier /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_search.py:1103: UserWarning: One or more of the test scores are non-finite: [0.5 0.5 nan] warnings.warn( sklearn/model_selection/tests/test_search.py: 1 warning sklearn/model_selection/tests/test_validation.py: 15 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_stochastic_gradient.py:1387: RuntimeWarning: divide by zero encountered in log return np.log(self.predict_proba(X)) sklearn/model_selection/tests/test_search.py::test_custom_run_search /usr/lib64/python3.13/site-packages/numpy/ma/core.py:2820: RuntimeWarning: invalid value encountered in cast _data = np.array(data, dtype=dtype, copy=copy, sklearn/model_selection/tests/test_search.py::test_search_estimator_param[RandomizedSearchCV-param_distributions] sklearn/model_selection/tests/test_search.py::test_multi_metric_search_forwards_metadata[RandomizedSearchCV-param_distributions] sklearn/model_selection/tests/test_search.py::test_score_rejects_params_with_no_routing_enabled[RandomizedSearchCV-param_distributions] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_search.py:320: UserWarning: The total space of parameters 1 is smaller than n_iter=10. Running 1 iterations. For exhaustive searches, use GridSearchCV. warnings.warn( sklearn/model_selection/tests/test_split.py: 14 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_split.py:776: UserWarning: The least populated class in y has only 1 members, which is less than n_splits=4. warnings.warn( sklearn/model_selection/tests/test_split.py: 14 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_split.py:776: UserWarning: The least populated class in y has only 1 members, which is less than n_splits=6. warnings.warn( sklearn/model_selection/tests/test_split.py: 14 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_split.py:776: UserWarning: The least populated class in y has only 1 members, which is less than n_splits=7. warnings.warn( sklearn/model_selection/tests/test_split.py: 14 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_split.py:994: UserWarning: The least populated class in y has only 1 members, which is less than n_splits=4. warnings.warn( sklearn/model_selection/tests/test_split.py: 14 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_split.py:994: UserWarning: The least populated class in y has only 1 members, which is less than n_splits=6. warnings.warn( sklearn/model_selection/tests/test_split.py: 14 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_split.py:994: UserWarning: The least populated class in y has only 1 members, which is less than n_splits=7. warnings.warn( sklearn/model_selection/tests/test_successive_halving.py::test_input_errors[params1-Cannot use parameter a as the resource since it is part of-HalvingRandomSearchCV] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_search.py:320: UserWarning: The total space of parameters 1 is smaller than n_iter=100. Running 1 iterations. For exhaustive searches, use GridSearchCV. warnings.warn( sklearn/model_selection/tests/test_successive_halving.py::test_groups_support[HalvingRandomSearchCV] sklearn/model_selection/tests/test_successive_halving.py::test_groups_support[HalvingRandomSearchCV] sklearn/model_selection/tests/test_successive_halving.py::test_groups_support[HalvingRandomSearchCV] sklearn/model_selection/tests/test_successive_halving.py::test_groups_support[HalvingRandomSearchCV] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_search.py:320: UserWarning: The total space of parameters 1 is smaller than n_iter=4. Running 1 iterations. For exhaustive searches, use GridSearchCV. warnings.warn( sklearn/model_selection/tests/test_successive_halving.py::test_groups_support[HalvingRandomSearchCV] sklearn/model_selection/tests/test_successive_halving.py::test_groups_support[HalvingRandomSearchCV] sklearn/model_selection/tests/test_successive_halving.py::test_groups_support[HalvingRandomSearchCV] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_search.py:320: UserWarning: The total space of parameters 1 is smaller than n_iter=2. Running 1 iterations. For exhaustive searches, use GridSearchCV. warnings.warn( sklearn/model_selection/tests/test_validation.py: 124 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_split.py:848: UserWarning: The groups parameter is ignored by StratifiedKFold warnings.warn( sklearn/model_selection/tests/test_validation.py::test_cross_val_predict_decision_function_shape /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_validation.py:1415: RuntimeWarning: Number of classes in training fold (1) does not match total number of classes (2). Results may not be appropriate for your use case. To fix this, use a cross-validation technique resulting in properly stratified folds warnings.warn( sklearn/model_selection/tests/test_validation.py::test_cross_val_predict_decision_function_shape sklearn/model_selection/tests/test_validation.py::test_cross_val_predict_class_subset sklearn/model_selection/tests/test_validation.py::test_cross_val_predict_class_subset /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_validation.py:1415: RuntimeWarning: Number of classes in training fold (7) does not match total number of classes (10). Results may not be appropriate for your use case. To fix this, use a cross-validation technique resulting in properly stratified folds warnings.warn( sklearn/model_selection/tests/test_validation.py::test_cross_val_predict_unbalanced sklearn/model_selection/tests/test_validation.py::test_cross_val_predict_unbalanced /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_split.py:776: UserWarning: The least populated class in y has only 1 members, which is less than n_splits=2. warnings.warn( sklearn/model_selection/tests/test_validation.py::test_cross_val_predict_unbalanced /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_validation.py:1415: RuntimeWarning: Number of classes in training fold (2) does not match total number of classes (3). Results may not be appropriate for your use case. To fix this, use a cross-validation technique resulting in properly stratified folds warnings.warn( sklearn/model_selection/tests/test_validation.py::test_cross_val_predict_class_subset sklearn/model_selection/tests/test_validation.py::test_cross_val_predict_class_subset sklearn/model_selection/tests/test_validation.py::test_cross_val_predict_class_subset sklearn/model_selection/tests/test_validation.py::test_cross_val_predict_class_subset sklearn/model_selection/tests/test_validation.py::test_cross_val_predict_class_subset /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_validation.py:1415: RuntimeWarning: Number of classes in training fold (8) does not match total number of classes (10). Results may not be appropriate for your use case. To fix this, use a cross-validation technique resulting in properly stratified folds warnings.warn( sklearn/model_selection/tests/test_validation.py::test_fit_and_score_working /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_validation.py:982: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: Traceback (most recent call last): File "/builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_validation.py", line 971, in _score scores = scorer(estimator, X_test, y_test, **score_params) TypeError: 'dict' object is not callable warnings.warn( sklearn/neighbors/tests/test_lof.py::test_n_neighbors_attribute /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neighbors/_lof.py:283: UserWarning: n_neighbors (500) is greater than the total number of samples (150). n_neighbors will be set to (n_samples - 1) for estimation. warnings.warn( sklearn/neighbors/tests/test_lof.py::test_hasattr_prediction sklearn/neighbors/tests/test_lof.py::test_hasattr_prediction /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neighbors/_lof.py:283: UserWarning: n_neighbors (20) is greater than the total number of samples (3). n_neighbors will be set to (n_samples - 1) for estimation. warnings.warn( sklearn/neighbors/tests/test_lof.py::test_novelty_true_common_tests[LocalOutlierFactor(novelty=True)-check_estimators_nan_inf] sklearn/neighbors/tests/test_lof.py::test_novelty_true_common_tests[LocalOutlierFactor(novelty=True)-check_estimators_nan_inf] sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LocalOutlierFactor()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neighbors/_lof.py:283: UserWarning: n_neighbors (20) is greater than the total number of samples (10). n_neighbors will be set to (n_samples - 1) for estimation. warnings.warn( sklearn/neighbors/tests/test_lof.py::test_novelty_true_common_tests[LocalOutlierFactor(novelty=True)-check_classifier_data_not_an_array] sklearn/neighbors/tests/test_lof.py::test_novelty_true_common_tests[LocalOutlierFactor(novelty=True)-check_classifier_data_not_an_array] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neighbors/_lof.py:283: UserWarning: n_neighbors (20) is greater than the total number of samples (12). n_neighbors will be set to (n_samples - 1) for estimation. warnings.warn( sklearn/neighbors/tests/test_neighbors.py: 184 warnings sklearn/tests/test_common.py: 47 warnings /usr/lib64/python3.13/site-packages/numpy/core/numeric.py:407: RuntimeWarning: invalid value encountered in cast multiarray.copyto(res, fill_value, casting='unsafe') sklearn/neighbors/tests/test_neighbors.py: 12 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neighbors/_classification.py:829: RuntimeWarning: invalid value encountered in divide proba_k /= normalizer sklearn/neighbors/tests/test_neighbors.py::test_neighbors_validate_parameters[csr_matrix-KNeighborsClassifier] sklearn/neighbors/tests/test_neighbors.py::test_neighbors_validate_parameters[csr_matrix-RadiusNeighborsClassifier] sklearn/neighbors/tests/test_neighbors.py::test_neighbors_validate_parameters[csr_matrix-KNeighborsRegressor] sklearn/neighbors/tests/test_neighbors.py::test_neighbors_validate_parameters[csr_matrix-RadiusNeighborsRegressor] sklearn/neighbors/tests/test_neighbors.py::test_neighbors_validate_parameters[csr_array-KNeighborsClassifier] sklearn/neighbors/tests/test_neighbors.py::test_neighbors_validate_parameters[csr_array-RadiusNeighborsClassifier] sklearn/neighbors/tests/test_neighbors.py::test_neighbors_validate_parameters[csr_array-KNeighborsRegressor] sklearn/neighbors/tests/test_neighbors.py::test_neighbors_validate_parameters[csr_array-RadiusNeighborsRegressor] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neighbors/_base.py:583: UserWarning: cannot use tree with sparse input: using brute force warnings.warn("cannot use tree with sparse input: using brute force") sklearn/neighbors/tests/test_neighbors.py: 11 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neighbors/_unsupervised.py:176: SyntaxWarning: Parameter p is found in metric_params. The corresponding parameter from __init__ is ignored. return self._fit(X) sklearn/neighbors/tests/test_neighbors.py::test_valid_brute_metric_for_auto_algorithm[float64-csr_matrix-yule] sklearn/neighbors/tests/test_neighbors.py::test_valid_brute_metric_for_auto_algorithm[float64-csr_array-yule] sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-yule] sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-yule] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/pairwise.py:2361: DataConversionWarning: Data was converted to boolean for metric yule warnings.warn(msg, DataConversionWarning) sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_predict_proba sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_predict_proba /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neighbors/_classification.py:819: UserWarning: Outlier label -1 is not in training classes. All class probabilities of outliers will be assigned with 0. warnings.warn( sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-dice] sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-dice] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/pairwise.py:2361: DataConversionWarning: Data was converted to boolean for metric dice warnings.warn(msg, DataConversionWarning) sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-jaccard] sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-jaccard] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/pairwise.py:2361: DataConversionWarning: Data was converted to boolean for metric jaccard warnings.warn(msg, DataConversionWarning) sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-rogerstanimoto] sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-rogerstanimoto] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/pairwise.py:2361: DataConversionWarning: Data was converted to boolean for metric rogerstanimoto warnings.warn(msg, DataConversionWarning) sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-russellrao] sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-russellrao] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/pairwise.py:2361: DataConversionWarning: Data was converted to boolean for metric russellrao warnings.warn(msg, DataConversionWarning) sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-sokalmichener] sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-sokalmichener] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/pairwise.py:2361: DataConversionWarning: Data was converted to boolean for metric sokalmichener warnings.warn(msg, DataConversionWarning) sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-sokalsneath] sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[42-float64-sokalsneath] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/pairwise.py:2361: DataConversionWarning: Data was converted to boolean for metric sokalsneath warnings.warn(msg, DataConversionWarning) sklearn/neighbors/tests/test_neighbors.py::test_nearest_neighbours_works_with_p_less_than_1 /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neighbors/_base.py:653: UserWarning: Mind that for 0 < p < 1, Minkowski metrics are not distance metrics. Continuing the execution with `algorithm='brute'`. warnings.warn( sklearn/neighbors/tests/test_neighbors_pipeline.py::test_spectral_clustering sklearn/neighbors/tests/test_neighbors_pipeline.py::test_spectral_embedding /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/manifold/_spectral_embedding.py:310: UserWarning: Array is not symmetric, and will be converted to symmetric by average with its transpose. adjacency = check_symmetric(adjacency) sklearn/neural_network/tests/test_mlp.py: 10 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neural_network/_multilayer_perceptron.py:545: ConvergenceWarning: lbfgs failed to converge (status=1): STOP: TOTAL NO. of ITERATIONS REACHED LIMIT. Increase the number of iterations (max_iter) or scale the data as shown in: https://scikit-learn.org/stable/modules/preprocessing.html self.n_iter_ = _check_optimize_result("lbfgs", opt_res, self.max_iter) sklearn/neural_network/tests/test_mlp.py::test_nonfinite_params /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neural_network/_base.py:172: RuntimeWarning: overflow encountered in square return ((y_true - y_pred) ** 2).mean() / 2 sklearn/neural_network/tests/test_mlp.py::test_nonfinite_params /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/extmath.py:205: RuntimeWarning: overflow encountered in matmul ret = a @ b sklearn/neural_network/tests/test_mlp.py::test_nonfinite_params /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neural_network/_stochastic_optimizers.py:275: RuntimeWarning: overflow encountered in square self.beta_2 * v + (1 - self.beta_2) * (grad**2) sklearn/neural_network/tests/test_mlp.py::test_nonfinite_params /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neural_network/_stochastic_optimizers.py:284: RuntimeWarning: invalid value encountered in divide -self.learning_rate * m / (np.sqrt(v) + self.epsilon) sklearn/neural_network/tests/test_mlp.py::test_shuffle sklearn/neural_network/tests/test_mlp.py::test_shuffle sklearn/neural_network/tests/test_mlp.py::test_shuffle sklearn/neural_network/tests/test_mlp.py::test_shuffle sklearn/neural_network/tests/test_mlp.py::test_shuffle sklearn/neural_network/tests/test_mlp.py::test_shuffle /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neural_network/_multilayer_perceptron.py:690: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (1) reached and the optimization hasn't converged yet. warnings.warn( sklearn/neural_network/tests/test_mlp.py::test_warm_start_full_iteration[MLPClassifier] sklearn/neural_network/tests/test_mlp.py::test_warm_start_full_iteration[MLPClassifier] sklearn/neural_network/tests/test_mlp.py::test_warm_start_full_iteration[MLPRegressor] sklearn/neural_network/tests/test_mlp.py::test_warm_start_full_iteration[MLPRegressor] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neural_network/_multilayer_perceptron.py:690: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (3) reached and the optimization hasn't converged yet. warnings.warn( sklearn/neural_network/tests/test_mlp.py::test_mlp_classifier_dtypes_casting sklearn/neural_network/tests/test_mlp.py::test_mlp_classifier_dtypes_casting sklearn/neural_network/tests/test_mlp.py::test_mlp_regressor_dtypes_casting sklearn/neural_network/tests/test_mlp.py::test_mlp_regressor_dtypes_casting sklearn/neural_network/tests/test_mlp.py::test_mlp_param_dtypes[MLPClassifier-float32] sklearn/neural_network/tests/test_mlp.py::test_mlp_param_dtypes[MLPClassifier-float64] sklearn/neural_network/tests/test_mlp.py::test_mlp_param_dtypes[MLPRegressor-float32] sklearn/neural_network/tests/test_mlp.py::test_mlp_param_dtypes[MLPRegressor-float64] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neural_network/_multilayer_perceptron.py:690: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (50) reached and the optimization hasn't converged yet. warnings.warn( sklearn/neural_network/tests/test_mlp.py::test_mlp_warm_start_with_early_stopping[MLPClassifier] sklearn/neural_network/tests/test_mlp.py::test_mlp_warm_start_with_early_stopping[MLPRegressor] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neural_network/_multilayer_perceptron.py:690: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (10) reached and the optimization hasn't converged yet. warnings.warn( sklearn/neural_network/tests/test_mlp.py::test_mlp_warm_start_with_early_stopping[MLPRegressor] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neural_network/_multilayer_perceptron.py:690: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (20) reached and the optimization hasn't converged yet. warnings.warn( sklearn/preprocessing/tests/test_common.py::test_missing_value_handling[est0-maxabs_scale-True-False-omit_kwargs0] sklearn/preprocessing/tests/test_common.py::test_missing_value_handling[est0-maxabs_scale-True-False-omit_kwargs0] sklearn/preprocessing/tests/test_common.py::test_missing_value_handling[est3-scale-True-False-omit_kwargs3] sklearn/preprocessing/tests/test_common.py::test_missing_value_handling[est3-scale-True-False-omit_kwargs3] sklearn/preprocessing/tests/test_common.py::test_missing_value_handling[est6-quantile_transform-True-False-omit_kwargs6] sklearn/preprocessing/tests/test_common.py::test_missing_value_handling[est6-quantile_transform-True-False-omit_kwargs6] sklearn/preprocessing/tests/test_common.py::test_missing_value_handling[est8-robust_scale-True-False-omit_kwargs8] sklearn/preprocessing/tests/test_common.py::test_missing_value_handling[est8-robust_scale-True-False-omit_kwargs8] /usr/lib64/python3.13/site-packages/scipy/sparse/_dia.py:75: SparseEfficiencyWarning: Constructing a DIA matrix with 115 diagonals is inefficient A = self._coo_container(arg1, dtype=dtype, shape=shape).todia() sklearn/preprocessing/tests/test_data.py::test_standard_scaler_sample_weight[array-Xw2-X2-sample_weight2] sklearn/preprocessing/tests/test_data.py::test_standard_scaler_sample_weight[array-Xw2-X2-sample_weight2] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/extmath.py:1137: RuntimeWarning: invalid value encountered in divide updated_mean = (last_sum + new_sum) / updated_sample_count sklearn/preprocessing/tests/test_data.py::test_standard_scaler_sample_weight[array-Xw2-X2-sample_weight2] sklearn/preprocessing/tests/test_data.py::test_standard_scaler_sample_weight[array-Xw2-X2-sample_weight2] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/extmath.py:1142: RuntimeWarning: invalid value encountered in divide T = new_sum / new_sample_count sklearn/preprocessing/tests/test_data.py::test_standard_scaler_sample_weight[array-Xw2-X2-sample_weight2] sklearn/preprocessing/tests/test_data.py::test_standard_scaler_sample_weight[array-Xw2-X2-sample_weight2] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/extmath.py:1162: RuntimeWarning: invalid value encountered in divide new_unnormalized_variance -= correction**2 / new_sample_count sklearn/preprocessing/tests/test_data.py::test_quantile_transform_and_inverse sklearn/preprocessing/tests/test_data.py::test_one_to_one_features[QuantileTransformer] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_data.py:2785: UserWarning: n_quantiles (1000) is greater than the total number of samples (150). n_quantiles is set to n_samples. warnings.warn( sklearn/preprocessing/tests/test_data.py::test_quantile_transform_and_inverse /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_data.py:2785: UserWarning: n_quantiles (1000) is greater than the total number of samples (7). n_quantiles is set to n_samples. warnings.warn( sklearn/preprocessing/tests/test_data.py::test_quantile_transform_nan /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_data.py:2785: UserWarning: n_quantiles (10) is greater than the total number of samples (3). n_quantiles is set to n_samples. warnings.warn( sklearn/preprocessing/tests/test_data.py::test_quantile_transform_nan /usr/lib64/python3.13/site-packages/numpy/lib/nanfunctions.py:1563: RuntimeWarning: All-NaN slice encountered return function_base._ureduce(a, sklearn/preprocessing/tests/test_discretization.py::test_fit_transform[quantile-expected5-sample_weight5] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_discretization.py:307: UserWarning: Bins whose width are too small (i.e., <= 1e-8) in feature 0 are removed. Consider decreasing the number of bins. warnings.warn( sklearn/preprocessing/tests/test_discretization.py::test_fit_transform[quantile-expected5-sample_weight5] sklearn/preprocessing/tests/test_discretization.py::test_fit_transform_n_bins_array[quantile-expected4-sample_weight4] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_discretization.py:307: UserWarning: Bins whose width are too small (i.e., <= 1e-8) in feature 1 are removed. Consider decreasing the number of bins. warnings.warn( sklearn/preprocessing/tests/test_discretization.py::test_fit_transform[quantile-expected5-sample_weight5] sklearn/preprocessing/tests/test_discretization.py::test_fit_transform_n_bins_array[quantile-expected4-sample_weight4] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_discretization.py:307: UserWarning: Bins whose width are too small (i.e., <= 1e-8) in feature 2 are removed. Consider decreasing the number of bins. warnings.warn( sklearn/preprocessing/tests/test_discretization.py::test_fit_transform[quantile-expected5-sample_weight5] sklearn/preprocessing/tests/test_discretization.py::test_fit_transform_n_bins_array[quantile-expected4-sample_weight4] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_discretization.py:307: UserWarning: Bins whose width are too small (i.e., <= 1e-8) in feature 3 are removed. Consider decreasing the number of bins. warnings.warn( sklearn/svm/tests/test_svm.py::test_svc_nonfinite_params /usr/lib64/python3.13/site-packages/numpy/core/_methods.py:152: RuntimeWarning: overflow encountered in reduce arrmean = umr_sum(arr, axis, dtype, keepdims=True, where=where) sklearn/tests/test_calibration.py::test_calibration_less_classes[False] sklearn/tests/test_calibration.py::test_calibration_less_classes[False] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_validation.py:1415: RuntimeWarning: Number of classes in training fold (3) does not match total number of classes (4). Results may not be appropriate for your use case. To fix this, use a cross-validation technique resulting in properly stratified folds warnings.warn( sklearn/tests/test_common.py::test_estimators[GaussianNB()-check_classifiers_one_label_sample_weights] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/naive_bayes.py:509: RuntimeWarning: divide by zero encountered in log jointi = np.log(self.class_prior_[i]) sklearn/tests/test_common.py: 22 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/cluster/_bicluster.py:31: RuntimeWarning: divide by zero encountered in divide row_diag = np.asarray(1.0 / np.sqrt(X.sum(axis=1))).squeeze() sklearn/tests/test_common.py::test_estimators[SpectralCoclustering()-check_estimator_sparse_array] sklearn/tests/test_common.py::test_estimators[SpectralCoclustering()-check_estimator_sparse_matrix] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/cluster/_bicluster.py:352: RuntimeWarning: invalid value encountered in multiply z = np.vstack((row_diag[:, np.newaxis] * u, col_diag[:, np.newaxis] * v)) sklearn/tests/test_common.py: 12 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/decomposition/_pca.py:591: RuntimeWarning: invalid value encountered in divide explained_variance_ = (S**2) / (n_samples - 1) sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[AffinityPropagation()] sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[AffinityPropagation()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/cluster/_affinity_propagation.py:142: ConvergenceWarning: Affinity propagation did not converge, this model may return degenerate cluster centers and labels. warnings.warn( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0006076933278708063, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.000651677209417334, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0006916869207384546, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.00072822782338966, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0007609219502504039, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.000789479237766566, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008136999927901289, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008334724343005973, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008487677112918313, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008596329247334278, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008661826900739911, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008685897580831825, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008670751690542655, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008618983558484616, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.000853347542006111, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008417307081683145, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008273673282853111, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008105810103075095, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0007916931166837282, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0007710173895070782, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0007488555642593542, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0007254939244646375, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0007012007266818804, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0006762244102441473, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0006507924977437463, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0006251110892016298, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0005993648542905877, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.000573717431364737, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0005483121488559228, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0005232729927336088, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.000498705752529055, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.000474699287642405, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.00045132686442903025, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.00042864752310502185, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.00040670744120062385, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.00038554126732209815, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.00036517340516276087, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.040355130724988086, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.07739310570162683, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.09902515325135042, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11518341998168413, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.12984038092936867, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.14436772132098685, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.15920990630835696, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1744830350128037, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1901827276425836, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2062579562413145, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.22263859368161665, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.23924660775339657, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2560012831408134, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2728221436888427, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2896308925640687, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.306352845889041, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.3229180320349405, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.33926202144709183, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.35532651689011896, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.37105972538398824, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.38641653339211235, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.40135850928136296, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.4158537591795679, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.42987666328293006, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.44340751929660627, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.4564321182094817, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.4689412752939144, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.48093033637076754, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.49239867628210465, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5033492033669309, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.513787880731428, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5237232723443874, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5331661195590343, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5421289515803656, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5506257316836956, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5586715396151307, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.566282289550311, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5734744822047011, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5802649891425329, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5866708669860854, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.592709199024045, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5983969616553177, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6037509131151291, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6087875020227469, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6135227934128498, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6179724100830546, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6221514872566529, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6260746387433822, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6297559329634344, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6332088773748539, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6364464100050187, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6394808969441788, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6423241347965809, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6449873572211899, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6474812447873384, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6498159375077388, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6520010494682782, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6540456850786853, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.003397314497805226, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0200488381105437, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.025541531207328383, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.02889409210257554, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03192449250641616, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03490683655472271, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.037871226543454206, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04080995267698828, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04371026754195384, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.046559814558000845, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04934758250132454, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05206407610911956, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05470132216371759, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05725282257211006, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05971347915228886, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0620794993454723, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06434828891725708, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0726324751564702, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.07717723067375193, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.08020143195954521, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.08276447207212811, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.08511690453330001, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.08732063451582661, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.08939355028011775, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.09134338050753321, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.09317565303738196, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.09489553166001663, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0965081945646995, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0980188686258705, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.09943278863974214, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.10075514665171426, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.10199104663136627, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.10314546740941655, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.10422323372886133, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.10522899453688073, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.10616720751842301, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1070421289094412, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.10785780770904374, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.10861808350537938, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.10932658722159427, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.10998674418417309, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1106017789943019, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11117472176756849, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11170841537179044, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1122055233590693, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11266853833869828, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11309979058957964, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11350145674600753, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11387556843092295, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11422402073438231, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11454858046346761, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11485089410798643, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11513249548145676, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1153948130151985, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11563917668678947, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1158668245782355, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11607890906690077, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11627650264639122, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11646060339775577, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11663214011160505, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11679197708474742, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11694091859797595, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11707971309858767, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11720905709790141, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.117329598802149, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11744194149413989, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11754664667897963, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11764423701307347, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11773519902045493, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[FastICA()] sklearn/tests/test_common.py::test_transformers_get_feature_names_out[FastICA()] sklearn/tests/test_common.py::test_set_output_transform[FastICA()] sklearn/tests/test_common.py::test_set_output_transform[FastICA()] sklearn/tests/test_common.py::test_set_output_transform[FastICA()] sklearn/tests/test_common.py::test_set_output_transform[FastICA()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/decomposition/_fastica.py:128: ConvergenceWarning: FastICA did not converge. Consider increasing tolerance or the maximum number of iterations. warnings.warn( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[GammaRegressor()] sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[PoissonRegressor()] sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[TweedieRegressor()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_glm/glm.py:283: ConvergenceWarning: lbfgs failed to converge (status=1): STOP: TOTAL NO. of ITERATIONS REACHED LIMIT. Increase the number of iterations (max_iter) or scale the data as shown in: https://scikit-learn.org/stable/modules/preprocessing.html self.n_iter_ = _check_optimize_result("lbfgs", opt_res) sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LabelSpreading()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/semi_supervised/_label_propagation.py:322: ConvergenceWarning: max_iter=5 was reached without convergence. warnings.warn( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0018789191204378053, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0018738259168478155, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0018351321319098335, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0017874547248071249, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.001733137495317616, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.001673914217038941, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.001611231418200798, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0015462927558091422, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0014800943557780055, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0014134552651262622, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.00134704370673297, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0012813996993949195, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0012169545310702357, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0011540475087357671, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0010929403521548753, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.001033829550208809, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0009768569561203477, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0009221188612074244, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.000869673754802805, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008195489504607967, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0007717462343133918, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0007262466707401716, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0006830146822979499, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0006420015051601113, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0006031481076795298, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0005663876478959606, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0005316475354102124, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0004988511543329993, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0004679192961518086, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.00043877134470754475, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0004113262497675574, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.00038550332049035185, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0003612228658945449, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.00498628090906017, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.09643621762328891, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.17609508623853465, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.22927967012756856, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.262131329569705, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.28134747630126, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.29175673828636484, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2965432830630004, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2977501511209031, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2966791357379348, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2941616541072829, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2907328896963133, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.28674142724289364, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2824176858810459, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2779165329444728, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2733438643872885, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.26877326923745937, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2642565671977213, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2598305546655926, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.25552139487617165, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2513475342968672, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.24732168786364195, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.24345222776746311, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.23974418329661784, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.23619998135851716, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.23282000952210158, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2296030540087335, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.22654664684813497, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.22364734505299388, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2209009574961831, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2183027305807519, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.21584750079808135, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.21352982026151146, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.21134405993279692, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.20928449427627882, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.20734537036969947, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.20552096395722064, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.20380562451486295, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.202193811069578, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2006801202324926, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1992593077014586, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.19792630428069824, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1966762273288305, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.19550438839849882, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.19440629772304874, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1933776661101323, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.19241440471419224, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1915126230925095, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.19066862588661415, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.18987890841773858, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.18914015143723262, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.18844921524563318, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1878031333402186, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.18719910574794696, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1866344921502625, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.18610680490909548, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.18561370206666084, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.18515298039046701, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.18472256851266877, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.184320520210429, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1839450078517375, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.18359431604184984, tolerance: 0.0011556651894331143 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03984268428484139, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05851081477217335, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06513631356301897, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06742419289123447, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06808786689476332, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06802484903315786, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06755324525423667, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06680821098225831, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06586390877525616, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06477098619775834, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06356849852381252, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06228810411039287, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06095587698394578, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05959333679802459, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05821818006137569, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0568448644410644, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05548509870907914, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.059822391141634235, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06252617668813976, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.062463080792360515, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06157604152733409, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06045585612968196, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.059282808130935116, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05811438845058525, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.056970915577981174, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05586092837100676, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05478879013875826, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.053757041376153225, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0527671924154367, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05182004299263543, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.050915850055492484, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05005443995979775, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04923529482741351, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04845762313941915, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.047720418669961795, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04702250996033008, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0463626018360781, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.045739310150754164, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04515119074277596, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04459676344853669, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04407453189633337, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043582999702953096, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04312068361213761, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.042686124036162454, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.042277893398059874, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04189460261829492, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04153490603750676, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04119750502866193, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.040881150513913944, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.040584644571735495, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04030684129065509, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.040046647005294034, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03980302003000258, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.039574969985604724, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03936155680309206, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03916188947428534, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03897512460681707, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.038800464835798465, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.038637157128951216, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03848449102512408, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03834179683030037, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0382084437962007, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03808383830290474, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03796742205694059, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03785867031925694, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03775709017621942, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03766221885370591, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.037573622088367564, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03749089255520577, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.037413648354416296, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0373415315622303, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MLPClassifier()] sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MLPRegressor()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neural_network/_multilayer_perceptron.py:690: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (100) reached and the optimization hasn't converged yet. warnings.warn( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MiniBatchNMF()] sklearn/tests/test_common.py::test_transformers_get_feature_names_out[MiniBatchNMF()] sklearn/tests/test_common.py::test_set_output_transform[MiniBatchNMF()] sklearn/tests/test_common.py::test_set_output_transform[MiniBatchNMF()] sklearn/tests/test_common.py::test_set_output_transform[MiniBatchNMF()] sklearn/tests/test_common.py::test_set_output_transform[MiniBatchNMF()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/decomposition/_nmf.py:2341: ConvergenceWarning: Maximum number of iterations 20 reached. Increase it to improve convergence. warnings.warn( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0006076933278708063, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0006516772094160017, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0006916869207373999, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0007282278233893824, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0007609219502493492, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0007894792377671489, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008136999927907673, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008334724343005417, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008487677112920811, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008596329247332335, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008661826900738523, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.000868589758083238, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008670751690546541, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008618983558474624, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008533475420055558, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008417307081678982, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008273673282848115, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008105810103077038, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0007916931166832286, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.000771017389505968, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0007488555642593819, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.000725493924466275, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0007012007266818804, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.000676224410244286, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0006507924977414564, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0006251110892007278, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0005993648542914065, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0005737174313645149, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.000548312148857491, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0005232729927338309, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0004987057525289301, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.00047469928764136415, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.00045132686442801717, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0004286475231080472, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0004067074412015398, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0003855412673226116, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.00036517340516352415, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04035513072498631, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.07739310570162594, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.09902515325136196, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11518341998168413, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.129840380929366, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.14436772132099485, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.15920990630835785, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.17448303501280904, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1901827276425987, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.20625795624131715, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.22263859368161398, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.23924660775339035, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.25600128314080184, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2728221436888427, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2896308925640554, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.3063528458890561, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.3229180320349485, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.33926202144709716, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.3553265168900861, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.3710597253839536, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.3864165333920928, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.40135850928138206, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.4158537591795377, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.4298766632829576, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.44340751929654987, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.4564321182095288, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.4689412752938842, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.48093033637076443, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.4923986762820931, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5033492033669367, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5137878807314729, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.523723272344327, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5331661195590045, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5421289515803491, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5506257316836529, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5586715396152022, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5662822895502937, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5734744822045976, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5802649891426164, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5866708669860308, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5927091990238558, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.5983969616553195, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6037509131152459, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6087875020226212, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6135227934125731, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6179724100829431, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.622151487256565, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6260746387433493, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6297559329633469, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6332088773747797, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.636446410005115, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6394808969441725, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.642324134797104, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6449873572210763, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6474812447872074, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6498159375072916, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.6520010494679318, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.654045685078422, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0033973144978070025, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.020048838110541034, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.025541531207328383, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.028894092102574653, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03192449250641438, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03490683655472182, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0378712265434622, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04080995267698384, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04371026754196006, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04655981455800351, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.049347582501326315, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05206407610912134, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.054701322163716704, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05725282257211184, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05971347915229064, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.062079499345470524, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06434828891725974, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0726324751564853, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.07717723067375548, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.08020143195955143, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.08276447207213433, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.08511690453331688, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.08732063451581595, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.08939355028011331, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0913433805075261, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.09317565303738728, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.09489553166002374, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.09650819456468795, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.09801886862587317, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.09943278863971727, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.10075514665166452, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1019910466313858, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.10314546740941566, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.10422323372886666, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.10522899453686119, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1061672075183715, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.10704212890940923, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.10785780770910414, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.10861808350533586, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.10932658722166089, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.10998674418412602, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1106017789942948, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11117472176755161, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11170841537174869, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11220552335904088, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11266853833876933, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11309979058956454, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11350145674594536, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11387556843093627, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11422402073440896, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11454858046344452, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11485089410799798, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11513249548160776, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1153948130152207, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11563917668666246, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11586682457832698, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11607890906698515, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11627650264661327, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11646060339757458, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1166321401117667, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11679197708450584, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11694091859774325, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11707971309901577, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11720905709811902, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11732959880192695, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11744194149379972, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11754664667884995, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1176442370130335, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.11773519902075602, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0018789191204380828, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0018738259168480376, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0018351321319086678, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.001787454724806653, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0017331374953171719, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0016739142170394128, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0016112314182014364, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0015462927558089756, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.001480094355778394, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0014134552651262622, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0013470437067334418, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0012813996993945864, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.00121695453107043, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0011540475087360447, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0010929403521544034, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0010338295502075323, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0009768569561221935, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0009221188612079101, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008696737548027494, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008195489504607134, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.000771746234312351, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0007262466707403659, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0006830146822992128, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0006420015051588068, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0006031481076800987, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0005663876478951835, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0005316475354098238, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0004988511543344565, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.00046791929615101757, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0004387713447081554, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0004113262497678488, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0003855033204892555, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.00036122286589364283, tolerance: 0.0003515507828690467 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.004986280909061946, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.09643621762329069, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.17609508623852754, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2292796701275659, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.262131329569705, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.281347476301252, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2917567382863746, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2965432830629986, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.29775015112090664, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2966791357379419, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.29416165410728645, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2907328896963062, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2867414272428883, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2824176858810352, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2779165329444746, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2733438643872832, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.26877326923742917, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.26425656719770707, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.25983055466560323, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2555213948761885, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2513475342968823, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2473216878636828, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2434522277674498, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.23974418329660185, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2361999813584772, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.23282000952208382, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2296030540087708, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2265466468481545, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2236473450529921, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.22090095749614136, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.21830273058080252, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2158475007979952, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.2135298202615763, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.21134405993277827, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.20928449427630547, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.207345370369743, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.20552096395715136, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.20380562451494555, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.20219381106943235, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.20068012023267556, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.19925930770142664, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.19792630428066804, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1966762273288083, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.195504388398418, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1944062977231109, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.19337766611012697, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.19241440471417626, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1915126230925006, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.19066862588671984, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.18987890841771904, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.18914015143742624, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1884492152455426, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.18780313334026566, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.18719910574767784, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.18663449215041705, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.18610680490918163, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.1856137020665365, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.18515298039021655, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.18472256851244584, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.18432052020992007, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.18394500785113888, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.18359431604229925, tolerance: 0.001155665189433114 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0398426842848405, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.058510814772175124, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06513631356301985, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06742419289123447, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0680878668947642, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06802484903315609, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06755324525423578, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06680821098225742, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06586390877526416, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06477098619776189, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06356849852380453, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06228810411039376, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.060955876983943114, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05959333679803258, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05821818006137036, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.056844864441067955, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.055485098709085356, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.059822391141634235, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06252617668815219, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06246308079236673, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.061576041527341197, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.06045585612968818, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.059282808130916465, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05811438845059147, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.056970915577960746, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.055860928371037843, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05478879013878668, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05375704137617365, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.052767192415431374, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05182004299264342, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.050915850055530676, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05005443995977288, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.049235294827417064, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04845762313941382, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04772041866998045, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.047022509960319425, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.046362601836109185, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.045739310150782586, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04515119074274487, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04459676344857666, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04407453189637689, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04358299970295132, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043120683612165145, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.042686124036123374, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04227789339804122, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04189460261829048, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04153490603751653, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04119750502864061, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04088115051402674, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.040584644571803, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.040306841290600026, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.040046647005274494, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.039803020029941294, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03957496998564203, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03936155680325992, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03916188947421784, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03897512460695829, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.038800464835671455, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.038637157128931676, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.038484491025277734, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.038341796830267505, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.038208443796460045, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.038083838303082373, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0379674220569024, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03785867031953227, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.037757090176226527, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.037662218853395046, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03757362208832582, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03749089255519955, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03741364835434169, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.037341531562223196, tolerance: 0.0009057236821572533 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[Nystroem()] sklearn/tests/test_common.py::test_transformers_get_feature_names_out[Nystroem()] sklearn/tests/test_common.py::test_set_output_transform[Nystroem()] sklearn/tests/test_common.py::test_set_output_transform[Nystroem()] sklearn/tests/test_common.py::test_set_output_transform[Nystroem()] sklearn/tests/test_common.py::test_set_output_transform[Nystroem()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/kernel_approximation.py:1008: UserWarning: n_components > n_samples. This is not possible. n_components was set to n_samples, which results in inefficient evaluation of the full kernel. warnings.warn( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[QuadraticDiscriminantAnalysis()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/discriminant_analysis.py:947: UserWarning: Variables are collinear warnings.warn("Variables are collinear") sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[QuantileTransformer()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_data.py:2785: UserWarning: n_quantiles (1000) is greater than the total number of samples (10). n_quantiles is set to n_samples. warnings.warn( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[SGDOneClassSVM()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_stochastic_gradient.py:2542: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit. warnings.warn( sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[SelfTrainingClassifier(base_estimator=LogisticRegression(C=1))] sklearn/tests/test_metaestimators.py::test_metaestimator_delegation /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/semi_supervised/_self_training.py:227: UserWarning: y contains no unlabeled samples warnings.warn("y contains no unlabeled samples", UserWarning) sklearn/tests/test_common.py::test_check_n_features_in_after_fitting[TheilSenRegressor()] sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[TheilSenRegressor()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_theil_sen.py:128: ConvergenceWarning: Maximum number of iterations 5 reached in spatial median for TheilSen regressor. warnings.warn( sklearn/tests/test_common.py::test_transformers_get_feature_names_out[Isomap()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/manifold/_isomap.py:383: UserWarning: The number of connected components of the neighbors graph is 2 > 1. Completing the graph to fit Isomap might be slow. Increase the number of neighbors to avoid this issue. self._fit_transform(X) sklearn/tests/test_common.py::test_transformers_get_feature_names_out[QuantileTransformer()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_data.py:2785: UserWarning: n_quantiles (1000) is greater than the total number of samples (30). n_quantiles is set to n_samples. warnings.warn( sklearn/tests/test_common.py::test_f_contiguous_array_estimator[Isomap] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/manifold/_isomap.py:359: UserWarning: The number of connected components of the neighbors graph is 3 > 1. Completing the graph to fit Isomap might be slow. Increase the number of neighbors to avoid this issue. self._fit_transform(X) sklearn/tests/test_common.py::test_set_output_transform[QuantileTransformer()] sklearn/tests/test_common.py::test_set_output_transform[QuantileTransformer()] sklearn/tests/test_common.py::test_set_output_transform[QuantileTransformer()] sklearn/tests/test_common.py::test_set_output_transform[QuantileTransformer()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_data.py:2785: UserWarning: n_quantiles (1000) is greater than the total number of samples (20). n_quantiles is set to n_samples. warnings.warn( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.013600403306895714, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03665116082127895, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.040332571379138926, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04233828757356406, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04399714422718404, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0453915031566936, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04655165148312079, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04750425703219463, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04827386488003782, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04888295807549525, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04935201401120537, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.049699583577840656, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04994238724837885, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05009542273019463, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0501720797127021, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0501842580428189, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05014248637939289, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05005603901083333, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.049933049066865465, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04978061682042778, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0496049121684905, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04941127070069484, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04920428302828128, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04898787725278453, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.048765394618705216, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04853965851587816, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04831303709097767, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04808749978929683, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04786466819177093, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0476458615376103, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04743213733014073, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04722432742701699, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04702307000648176, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.046828837784730126, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04664196284635125, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04646265842209374, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04629103793018885, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0461271315741385, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04597090076061505, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04582225058616274, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04568104061268485, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04554709413283575, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.045420206107571914, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.045300149938817924, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04518668321899355, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0450795525945864, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0449784978477723, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04488325531230686, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04479356069939655, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04470915142423593, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.044629768498126055, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04455515804885124, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.044485072521517566, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04441927160951309, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0443575229552593, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04429960265618149, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04424529560596824, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.044194395700536404, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04414670592748848, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.044102038368848184, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.044060214116413476, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04402106313506238, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04398442406694869, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043950144010324266, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04391807825061278, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04388808998771765, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0438600500367059, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04383383651777706, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04380933454916658, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04378643592706766, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04376503881735516, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043745047445220564, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04372637178229155, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0437089272636797, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04369263448816696, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04367741894149901, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04366321073304391, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043649944328045365, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04363755829768934, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04362599509899212, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04361520082230186, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0436051250047953, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04359572039133752, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04358694277451747, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04357875078087403, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043571105726528, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04356397141222601, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.02242199605876749, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.048236309604135386, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05152386498556183, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05256396561011201, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05317106552980988, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05349220795529419, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05358147192696805, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05348196852554565, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05323022641039188, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.052857208749472306, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0523890952827486, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05184795600123948, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.051252333611017775, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05061774695153787, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04995712587909651, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04928118674135362, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04859875636764599, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04791705145458991, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04724191931889976, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04657804520032016, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0459291306130325, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.045298046647459955, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04468696560756058, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04409747392097785, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043530668866111455, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04298724132530651, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.042467546475371876, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.041971664074239357, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04149944977884701, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.041050578738094146, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.040624582536928244, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.040220880422964456, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03983880562215347, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03947762743811012, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.039136569740094274, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03881482635758715, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03851157382970172, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0382259819009505, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03795722209201813, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.037704474637315855, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.037466934035791155, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0372438134272457, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03703434797959915, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.036837797442721865, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.036653448003207245, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.036480613558026675, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03631863650373646, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.036166888126786034, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03602476866502258, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.035891707107040816, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03576716077160569, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.035650614723820695, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03554158105345806, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03543959805430319, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03534422932696657, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03525506283289559, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.035171709907096727, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03509380425831665, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03502100095693095, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03495297542932008, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03488942246207216, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03483005522557647, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03477460431719237, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034722816839192205, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034674455497992085, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034629297740409015, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03458713492431542, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03454777152540345, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03451102436786613, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03447672191128959, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03444470354907736, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0344148189593767, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034386927477768836, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03436089751473048, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034336605991271085, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0343139378079087, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03429278536299307, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034273048064186185, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03425463189746836, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03423744900778303, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03422141730916195, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03420646010799544, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03419250576697408, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03417948737330789, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03416734244039077, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034156012610147, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:683: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034145443394287156, tolerance: 0.006864064021546925 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.013600403306895714, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03665116082126474, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04033257137915314, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.042338287573556954, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04399714422717693, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0453915031566865, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04655165148310658, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04750425703223016, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.048273864880044925, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04888295807550236, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0493520140112409, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04969958357786908, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.049942387248371745, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0500954227301591, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05017207971274473, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.050184258042826, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.050142486379357365, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.050056039010840436, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.049933049066851254, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04978061682041357, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04960491216851182, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0494112707007659, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04920428302829549, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04898787725284137, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0487653946186839, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04853965851587816, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0483130370910132, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.048087499789268406, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.047864668191813564, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.047645861537681355, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.047432137330154944, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.047224327427130675, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04702307000644623, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04682883778465197, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04664196284648625, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.046462658422129266, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04629103793020306, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04612713157411008, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.045970900760657685, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.045822250586354585, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04568104061277012, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.045547094132707855, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04542020610764297, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04530014993873266, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04518668321894381, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04507955259440166, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.044978497847893095, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04488325531217896, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04479356069955287, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04470915142425724, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04462976849821132, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04455515804913546, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04448507252144651, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04441927160942072, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04435752295574247, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04429960265660782, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.044245295606394563, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04419439570023087, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04414670592754533, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04410203836896187, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04406021411712402, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04402106313474974, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04398442406674263, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04395014401001873, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04391807825023619, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043888089987554224, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04386005003608062, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04383383651843786, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04380933454832103, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04378643592768583, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04376503881824334, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04374504744494345, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04372637178215655, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04370892726284836, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04369263448765537, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043677418943794066, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04366321073405999, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04364994432727798, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043637558298811996, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04362599509905607, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04361520082349557, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043605125006230594, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04359572039329862, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0435869427753488, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04357875078354567, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04357110572350109, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04356397140860224, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.02242199605876749, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04823630960411407, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05152386498557604, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05256396561011201, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.053171065529816985, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.053492207955287085, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.053581471926960944, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05348196852553144, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05323022641040609, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.052857208749458096, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05238909528272728, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05184795600125369, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05125233361098225, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05061774695152366, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04995712587911072, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.049281186741332306, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.048598756367624674, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04791705145460412, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04724191931887134, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.046578045200270424, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04592913061309645, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04529804664745285, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04468696560762453, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04409747392100627, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043530668866097244, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04298724132531362, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04246754647537898, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.041971664074239357, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0414994497788399, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04105057873812257, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0406245825368714, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04022088042307104, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.039838805622089524, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03947762743809591, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03913656974020796, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03881482635749478, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.038511573829751455, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03822598190090787, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03795722209196839, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03770447463745086, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03746693403590484, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03724381342708938, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03703434797959915, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0368377974426366, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03665344800325698, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03648061355801957, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0363186365037933, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.036166888126814456, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03602476866523574, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03589170710674239, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0357671607717549, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03565061472418307, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.035541581053543325, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03543959805419661, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03534422932701631, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.035255062832980855, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03517170990687646, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.035093804258046646, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0350210009572649, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03495297542949061, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034889422461880315, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03483005522481619, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034774604317746594, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03472281683951195, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03467445549843973, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034629297740551124, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03458713492538834, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03454777152485633, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034511024368924836, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03447672191096984, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034444703548899724, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034414818958580895, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03438692747774752, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034360897515519184, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03433660599048949, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03431393780942926, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03429278536280833, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03427304806439224, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034254631899493404, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034237449009559384, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03422141730796113, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03420646010511774, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03419250576510535, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0341794873743666, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034167342439602066, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034156012612100994, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:675: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03414544339607062, tolerance: 0.006864064021546926 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[QuantileTransformer()] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_data.py:2785: UserWarning: n_quantiles (1000) is greater than the total number of samples (100). n_quantiles is set to n_samples. warnings.warn( sklearn/tests/test_config.py::test_config_threadsafe_joblib[multiprocessing] sklearn/tests/test_config.py::test_config_threadsafe_joblib[multiprocessing] sklearn/utils/tests/test_parallel.py::test_configuration_passes_through_to_joblib[multiprocessing-2] sklearn/utils/tests/test_parallel.py::test_configuration_passes_through_to_joblib[multiprocessing-2] /usr/lib64/python3.13/multiprocessing/popen_fork.py:67: DeprecationWarning: This process (pid=12294) is multi-threaded, use of fork() may lead to deadlocks in the child. self.pid = os.fork() sklearn/tests/test_discriminant_analysis.py::test_qda_regularization sklearn/tests/test_discriminant_analysis.py::test_qda_regularization /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/discriminant_analysis.py:972: RuntimeWarning: invalid value encountered in multiply X2 = np.dot(Xm, R * (S ** (-0.5))) sklearn/tests/test_metaestimators_metadata_routing.py::test_setting_request_on_sub_estimator_removes_error[HalvingRandomSearchCV] sklearn/tests/test_metaestimators_metadata_routing.py::test_setting_request_on_sub_estimator_removes_error[HalvingRandomSearchCV] sklearn/tests/test_metaestimators_metadata_routing.py::test_non_consuming_estimator_works[HalvingRandomSearchCV] sklearn/tests/test_metaestimators_metadata_routing.py::test_metadata_is_routed_correctly_to_scorer[HalvingRandomSearchCV] sklearn/tests/test_metaestimators_metadata_routing.py::test_metadata_is_routed_correctly_to_scorer[HalvingRandomSearchCV] sklearn/tests/test_metaestimators_metadata_routing.py::test_metadata_is_routed_correctly_to_splitter[HalvingRandomSearchCV] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_search.py:320: UserWarning: The total space of parameters 2 is smaller than n_iter=8. Running 2 iterations. For exhaustive searches, use GridSearchCV. warnings.warn( sklearn/tests/test_multiclass.py::test_constant_int_target[ones] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/multiclass.py:87: UserWarning: Label not 1 is present in all training examples. warnings.warn( sklearn/tests/test_multiclass.py::test_constant_int_target[zeros] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/multiclass.py:87: UserWarning: Label not 0 is present in all training examples. warnings.warn( sklearn/tests/test_multioutput.py::test_classifier_chain_vs_independent_models sklearn/tests/test_multioutput.py::test_classifier_chain_vs_independent_models sklearn/tests/test_multioutput.py::test_base_chain_crossval_fit_and_predict[classifier-predict] sklearn/tests/test_multioutput.py::test_base_chain_crossval_fit_and_predict[classifier-predict_proba] sklearn/tests/test_multioutput.py::test_base_chain_crossval_fit_and_predict[classifier-predict_log_proba] sklearn/tests/test_multioutput.py::test_base_chain_crossval_fit_and_predict[classifier-decision_function] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:1531: UndefinedMetricWarning: Jaccard is ill-defined and being set to 0.0 in samples with no true or predicted labels. Use `zero_division` parameter to control this behavior. _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result)) sklearn/tests/test_naive_bayes.py::test_alpha_vector sklearn/tests/test_naive_bayes.py::test_alpha_vector /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/naive_bayes.py:620: UserWarning: alpha too small will result in numeric errors, setting alpha = 1.0e-10. Use `force_alpha=True` to keep alpha unchanged. warnings.warn( sklearn/tree/tests/test_tree.py: 14 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/tree/_classes.py:1078: RuntimeWarning: divide by zero encountered in log proba[k] = np.log(proba[k]) sklearn/tree/tests/test_tree.py::test_big_input /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/_array_api.py:745: RuntimeWarning: overflow encountered in cast array = numpy.asarray(array, order=order, dtype=dtype) sklearn/tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[None] sklearn/tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[csc_matrix] sklearn/tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[csc_array] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/tree/tests/test_tree.py:1788: RuntimeWarning: overflow encountered in cast data = np.nan_to_num(data.astype("float32")) sklearn/utils/tests/test_estimator_checks.py: 14 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:654: SkipTestWarning: pandas is not installed: not testing for input of type pandas.Series to class weight. warnings.warn(str(exception), SkipTestWarning) sklearn/utils/tests/test_estimator_checks.py: 16 warnings /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:654: SkipTestWarning: pandas is not installed: not checking estimators for pandas objects. warnings.warn(str(exception), SkipTestWarning) sklearn/utils/tests/test_estimator_checks.py::test_check_estimator /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:654: SkipTestWarning: Skipping check_sample_weights_invariance for TaggedBinaryClassifier: zero sample_weight is not equivalent to removing samples warnings.warn(str(exception), SkipTestWarning) sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_clones sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_clones /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:654: SkipTestWarning: Skipping check_sample_weights_invariance for SGDClassifier: zero sample_weight is not equivalent to removing samples warnings.warn(str(exception), SkipTestWarning) sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_clones sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_clones /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:654: SkipTestWarning: array_api_compat is not installed: not checking array_api input warnings.warn(str(exception), SkipTestWarning) sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_clones sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_clones /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:654: SkipTestWarning: array_api_strict is not installed: not checking array_api input warnings.warn(str(exception), SkipTestWarning) sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_clones sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_clones /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:654: SkipTestWarning: cupy is not installed: not checking array_api input warnings.warn(str(exception), SkipTestWarning) sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_clones sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_clones /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:654: SkipTestWarning: cupy.array_api is not installed: not checking array_api input warnings.warn(str(exception), SkipTestWarning) sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_clones sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_clones /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:654: SkipTestWarning: torch is not installed: not checking array_api input warnings.warn(str(exception), SkipTestWarning) sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_clones sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_clones /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:654: SkipTestWarning: ExtraTreesClassifier does not have a decision_function method. warnings.warn(str(exception), SkipTestWarning) sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_clones sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_clones /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:654: SkipTestWarning: Skipping check_sample_weights_invariance for MiniBatchKMeans: zero sample_weight is not equivalent to removing samples warnings.warn(str(exception), SkipTestWarning) sklearn/utils/tests/test_optimize.py::test_newton_cg_verbosity[2] sklearn/utils/tests/test_optimize.py::test_newton_cg_verbosity[2] /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/optimize.py:311: UserWarning: Line Search failed warnings.warn("Line Search failed") -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html = 29596 passed, 4584 skipped, 53 deselected, 91 xfailed, 50 xpassed, 4299 warnings in 612.84s (0:10:12) = RUNNING THE L-BFGS-B CODE * * * Machine precision = 2.220D-16 N = 2 M = 10 * * * Tit = total number of iterations Tnf = total number of function evaluations Tnint = total number of segments explored during Cauchy searches Skip = number of BFGS updates skipped Nact = number of active bounds at final generalized Cauchy point Projg = norm of the final projected gradient F = final function value * * * N Tit Tnf Tnint Skip Nact Projg F 2 5 7 1 0 0 5.264D-05 -3.750D-01 CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL RUNNING THE L-BFGS-B CODE * * * Machine precision = 2.220D-16 N = 2 M = 10 At X0 0 variables are exactly at the bounds At iterate 0 f= -2.66378D-01 |proj g|= 1.16272D-01 At iterate 1 f= -3.72773D-01 |proj g|= 3.44540D-02 At iterate 2 f= -3.74743D-01 |proj g|= 1.18567D-02 At iterate 3 f= -3.74922D-01 |proj g|= 5.40689D-03 At iterate 4 f= -3.75000D-01 |proj g|= 4.08881D-04 At iterate 5 f= -3.75000D-01 |proj g|= 5.26385D-05 * * * Tit = total number of iterations Tnf = total number of function evaluations Tnint = total number of segments explored during Cauchy searches Skip = number of BFGS updates skipped Nact = number of active bounds at final generalized Cauchy point Projg = norm of the final projected gradient F = final function value * * * N Tit Tnf Tnint Skip Nact Projg F 2 5 7 1 0 0 5.264D-05 -3.750D-01 F = -0.37499999475400753 CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL This problem is unconstrained. This problem is unconstrained. ~/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2 + popd + RPM_EC=0 ++ jobs -p + exit 0 Processing files: python3-scikit-learn-1.5.2-6.fc42.x86_64 Executing(%doc): /bin/sh -e /var/tmp/rpm-tmp.eL8REt + umask 022 + cd /builddir/build/BUILD/python-scikit-learn-1.5.2-build + cd scikit_learn-1.5.2 + DOCDIR=/builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/share/doc/python3-scikit-learn + export LC_ALL=C.UTF-8 + LC_ALL=C.UTF-8 + export DOCDIR + /usr/bin/mkdir -p /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/share/doc/python3-scikit-learn + cp -pr /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/examples /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/share/doc/python3-scikit-learn + RPM_EC=0 ++ jobs -p + exit 0 Executing(%license): /bin/sh -e /var/tmp/rpm-tmp.D9fZAg + umask 022 + cd /builddir/build/BUILD/python-scikit-learn-1.5.2-build + cd scikit_learn-1.5.2 + LICENSEDIR=/builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/share/licenses/python3-scikit-learn + export LC_ALL=C.UTF-8 + LC_ALL=C.UTF-8 + export LICENSEDIR + /usr/bin/mkdir -p /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/share/licenses/python3-scikit-learn + cp -pr /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/COPYING /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/share/licenses/python3-scikit-learn + cp -pr /builddir/build/BUILD/python-scikit-learn-1.5.2-build/scikit_learn-1.5.2/sklearn/svm/src/liblinear/COPYRIGHT /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT/usr/share/licenses/python3-scikit-learn + RPM_EC=0 ++ jobs -p + exit 0 Provides: python-scikit-learn = 1.5.2-6.fc42 python-sklearn = 1.5.2-6.fc42 python3-scikit-learn = 1.5.2-6.fc42 python3-scikit-learn(x86-64) = 1.5.2-6.fc42 python3.13-scikit-learn = 1.5.2-6.fc42 python3.13-sklearn = 1.5.2-6.fc42 python3.13dist(scikit-learn) = 1.5.2 python3dist(scikit-learn) = 1.5.2 Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PartialHardlinkSets) <= 4.0.4-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Requires: libc.so.6()(64bit) libc.so.6(GLIBC_2.14)(64bit) libc.so.6(GLIBC_2.2.5)(64bit) libc.so.6(GLIBC_2.3.4)(64bit) libc.so.6(GLIBC_2.32)(64bit) libc.so.6(GLIBC_2.4)(64bit) libc.so.6(GLIBC_ABI_DT_RELR)(64bit) libgcc_s.so.1()(64bit) libgcc_s.so.1(GCC_3.0)(64bit) libgcc_s.so.1(GCC_3.3.1)(64bit) libgomp.so.1()(64bit) libgomp.so.1(GOMP_1.0)(64bit) libgomp.so.1(GOMP_4.0)(64bit) libgomp.so.1(OMP_1.0)(64bit) libgomp.so.1(OMP_3.0)(64bit) libm.so.6()(64bit) libm.so.6(GLIBC_2.2.5)(64bit) libm.so.6(GLIBC_2.23)(64bit) libm.so.6(GLIBC_2.27)(64bit) libm.so.6(GLIBC_2.29)(64bit) libstdc++.so.6()(64bit) libstdc++.so.6(CXXABI_1.3)(64bit) libstdc++.so.6(CXXABI_1.3.8)(64bit) libstdc++.so.6(CXXABI_1.3.9)(64bit) libstdc++.so.6(GLIBCXX_3.4)(64bit) libstdc++.so.6(GLIBCXX_3.4.21)(64bit) libstdc++.so.6(GLIBCXX_3.4.29)(64bit) libstdc++.so.6(GLIBCXX_3.4.30)(64bit) python(abi) = 3.13 python3.13dist(joblib) >= 1.2 python3.13dist(numpy) >= 1.19.5 python3.13dist(scipy) >= 1.6 python3.13dist(threadpoolctl) >= 3.1 rtld(GNU_HASH) Obsoletes: python-sklearn < 1.5.2-6.fc42 python3-scikit_learn < 1.5.2-2 Processing files: python-scikit-learn-debugsource-1.5.2-6.fc42.x86_64 Provides: python-scikit-learn-debugsource = 1.5.2-6.fc42 python-scikit-learn-debugsource(x86-64) = 1.5.2-6.fc42 Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Processing files: python3-scikit-learn-debuginfo-1.5.2-6.fc42.x86_64 Provides: debuginfo(build-id) = 0313f53965de97f7eb397d4a9095cf60705a6d8e debuginfo(build-id) = 09040a846a1547c764cee87e6cb89dafcb6b0578 debuginfo(build-id) = 0a2fcefb0636e38ef2f1c48ede109c22a4eaf2dc debuginfo(build-id) = 0b85c86b7cc8446b6fa4c1efd928a329014fa328 debuginfo(build-id) = 0cd07a219445d7f3371b9b90c3f052799c765bb7 debuginfo(build-id) = 0f358d608aad25144726c2a6d908f2d9853831a5 debuginfo(build-id) = 1012ed744dda9840c074814c2ec0d1c4dc068e74 debuginfo(build-id) = 137f817cdea78873ad12cad527f7871e327ad736 debuginfo(build-id) = 141be9709ebb97f9e392c3a5f39646c0b22fdc4d debuginfo(build-id) = 157ebb010e09321ee10a6dd94163fc2860b8ed67 debuginfo(build-id) = 1923953c1d5a1367c5bb932d92fd2db6df34bd6a debuginfo(build-id) = 1be65bc89ed7127706a8aacf91b7353beeacaf5f debuginfo(build-id) = 20f1d6b3203dae8e398d5bb6564bd13127f52c3d debuginfo(build-id) = 27990be85c5d27faff65f8a0ceff9b09d7d0f5a8 debuginfo(build-id) = 2869f47b29475c397be01930e88a3f8ab9514215 debuginfo(build-id) = 306ddb5d12e95fa6123f8726188844d3ea1ef3a7 debuginfo(build-id) = 33c5c24d300ef1324c5036ac163d697b4e968ddb debuginfo(build-id) = 425379df4d2ebf52bddb3fb8908946e4d9b5b475 debuginfo(build-id) = 43a3ba41668c12669ab674b44f56bb6be6a213e2 debuginfo(build-id) = 4709f86d4039cb5f7f06f6fc1695d786019a0dae debuginfo(build-id) = 47f8b82308a8a4a30799b59415d47f569e329911 debuginfo(build-id) = 48c6df0813dcf8d86f30d9619ad49768b3fbf590 debuginfo(build-id) = 4aad0dbf51e6aff030deb95c4595cff51e771f74 debuginfo(build-id) = 4e77ea740aad84cd22216743638d0e01672b3adf debuginfo(build-id) = 5099dff106c3b907884398cabf86c107ec213fe0 debuginfo(build-id) = 53ac6b53496943da57ee92d070a67e16afe1fd31 debuginfo(build-id) = 55ba2421479efbb520dd5834a54035a5e2a27379 debuginfo(build-id) = 5634da51a664ea87bc6eb42f5df9b2c358b1c850 debuginfo(build-id) = 5b6ab18829f5560395116a6da6733dd6a4b3c539 debuginfo(build-id) = 5c017ee07ec6cfbcceadc65b113ae410ab1514eb debuginfo(build-id) = 5e6cca1949c50fbc99bf793ea6e8db66139554a4 debuginfo(build-id) = 60e39fa326fa84a38eb918e911e1653e072f0e38 debuginfo(build-id) = 61d8390910a50ef8702921e74ce6713ae17ecd67 debuginfo(build-id) = 65dce78a3c82cc288f7ffe1ac40e4bdfbec40852 debuginfo(build-id) = 6a60861113de5dd8cc697f4bcc424dbb61e980b1 debuginfo(build-id) = 6e96b8bfeaab3db72cd4ab0d151412b8ea36cc95 debuginfo(build-id) = 6fc65efc1e3c508df04e93cedc6e91fc180d99cf debuginfo(build-id) = 72f504c0a113dd171ec3277d81f6ef8a152400c4 debuginfo(build-id) = 740ac5b475afc717f6ba366d0a4490c1364ddf7f debuginfo(build-id) = 7790498ddb79fc1fc1574d444c4af5c905a08dc2 debuginfo(build-id) = 79a7c02c25fd0a1072ade69ab48db6b958af70fe debuginfo(build-id) = 83012c6e8eee2d6039d5f2c00150564c256be7fb debuginfo(build-id) = 84805787917cac6029447a921d780b245c41cff4 debuginfo(build-id) = 8970c5d39103bad7f956de44ae67754cc1cbd368 debuginfo(build-id) = 8c1a72678c5134094bb582dd98176b5c8a464a20 debuginfo(build-id) = 9efe88f0f8c9f24c85ef784ee6d04e52ec6b3763 debuginfo(build-id) = a4f9ba361e5d1626170285ee3870ce012032a136 debuginfo(build-id) = a56ec7b29f062437289bd18938e4bb7eaa63ec18 debuginfo(build-id) = a832434d0abe916521dfbc2faf79890378b0edff debuginfo(build-id) = a8a70803fd520230b4326559df4bc463454c3c2b debuginfo(build-id) = ad35cd3b179a076d549be66cfb75b474d8854af8 debuginfo(build-id) = b3185db0f94038ffa8eb34dfbaf4ab33eda1a708 debuginfo(build-id) = b4b31de6c116341d3c19c92f431394b816376aa6 debuginfo(build-id) = b5a7e19f3a0d1a817f2ffdc49e608b39c5a708df debuginfo(build-id) = b6020d19b7ea409cd1787c6dfaeff57c4107933f debuginfo(build-id) = cf7ad9a5cbbee833eda926cd33f4e1ab191179ee debuginfo(build-id) = d2caba5010dfacc3bf8e48c57692286aa32c5dee debuginfo(build-id) = d7f4f6e10df7d646df6cb1ecc1307776e121b5a1 debuginfo(build-id) = df79c6db5c3b230c2e59beb2b7128df6ee08e0bf debuginfo(build-id) = e08cc2a849b53ad2cf07513020bf7623bc5efef8 debuginfo(build-id) = e55fb202a940c8cc8a98e419a70901cb9c330000 debuginfo(build-id) = e610b38795fc3be34dbeb4536bdc77373706a034 debuginfo(build-id) = e899402ec9770c022e2ca340e2b85200cf70b859 debuginfo(build-id) = f51eaa832fe5ee3fc9083a5da433c7b673a8ed82 debuginfo(build-id) = f5eb9b7a56c079093dfdefc80c8b712037f2a551 debuginfo(build-id) = f632110ac84f9f60baabc4f96b284659a98863a6 debuginfo(build-id) = fabc31678879472a9dcc6c7a7b23447f52e978e3 python-scikit-learn-debuginfo = 1.5.2-6.fc42 python3-scikit-learn-debuginfo = 1.5.2-6.fc42 python3-scikit-learn-debuginfo(x86-64) = 1.5.2-6.fc42 python3.13-scikit-learn-debuginfo = 1.5.2-6.fc42 Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Recommends: python-scikit-learn-debugsource(x86-64) = 1.5.2-6.fc42 Checking for unpackaged file(s): /usr/lib/rpm/check-files /builddir/build/BUILD/python-scikit-learn-1.5.2-build/BUILDROOT Wrote: /builddir/build/SRPMS/python-scikit-learn-1.5.2-6.fc42.src.rpm Wrote: /builddir/build/RPMS/python3-scikit-learn-1.5.2-6.fc42.x86_64.rpm Wrote: /builddir/build/RPMS/python-scikit-learn-debugsource-1.5.2-6.fc42.x86_64.rpm Wrote: /builddir/build/RPMS/python3-scikit-learn-debuginfo-1.5.2-6.fc42.x86_64.rpm Executing(rmbuild): /bin/sh -e /var/tmp/rpm-tmp.nehSex + umask 022 + cd /builddir/build/BUILD/python-scikit-learn-1.5.2-build + test -d /builddir/build/BUILD/python-scikit-learn-1.5.2-build + /usr/bin/chmod -Rf a+rX,u+w,g-w,o-w /builddir/build/BUILD/python-scikit-learn-1.5.2-build + rm -rf /builddir/build/BUILD/python-scikit-learn-1.5.2-build + RPM_EC=0 ++ jobs -p + exit 0 Finish: rpmbuild python-scikit-learn-1.5.2-6.fc42.src.rpm Finish: build phase for python-scikit-learn-1.5.2-6.fc42.src.rpm INFO: chroot_scan: 1 files copied to /var/lib/copr-rpmbuild/results/chroot_scan INFO: /var/lib/mock/fedora-40-x86_64-1733216357.990167/root/var/log/dnf5.log INFO: chroot_scan: creating tarball /var/lib/copr-rpmbuild/results/chroot_scan.tar.gz /bin/tar: Removing leading `/' from member names INFO: Done(/var/lib/copr-rpmbuild/results/python-scikit-learn-1.5.2-6.fc42.src.rpm) Config(child) 23 minutes 48 seconds INFO: Results and/or logs in: /var/lib/copr-rpmbuild/results INFO: Cleaning up build root ('cleanup_on_success=True') Start: clean chroot INFO: unmounting tmpfs. Finish: clean chroot Finish: run Running RPMResults tool Package info: { "packages": [ { "name": "python3-scikit-learn", "epoch": null, "version": "1.5.2", "release": "6.fc42", "arch": "x86_64" }, { "name": "python-scikit-learn-debugsource", "epoch": null, "version": "1.5.2", "release": "6.fc42", "arch": "x86_64" }, { "name": "python-scikit-learn", "epoch": null, "version": "1.5.2", "release": "6.fc42", "arch": "src" }, { "name": "python3-scikit-learn-debuginfo", "epoch": null, "version": "1.5.2", "release": "6.fc42", "arch": "x86_64" } ] } RPMResults finished