Warning: Permanently added '2620:52:3:1:dead:beef:cafe:c188' (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/8413972-fedora-rawhide-x86_64 --chroot fedora-rawhide-x86_64 Version: 1.2 PID: 9658 Logging PID: 9659 Task: {'allow_user_ssh': False, 'appstream': False, 'background': True, 'build_id': 8413972, 'buildroot_pkgs': [], 'chroot': 'fedora-rawhide-x86_64', 'enable_net': False, 'fedora_review': False, 'git_hash': '0ac1ab22b2bbc55ce344a42487c94a38f860061a', 'git_repo': 'https://copr-dist-git.fedorainfracloud.org/git/psimovec/scipy-1.8.3:pr:5/python-scikit-learn', 'isolation': 'default', 'memory_reqs': 2048, 'package_name': 'python-scikit-learn', 'package_version': '1.6.0-1', 'project_dirname': 'scipy-1.8.3:pr:5', 'project_name': 'scipy-1.8.3', 'project_owner': 'psimovec', 'repo_priority': None, 'repos': [{'baseurl': 'https://download.copr.fedorainfracloud.org/results/psimovec/scipy-1.8.3/fedora-rawhide-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': 'psimovec/scipy-1.8.3--https://src.fedoraproject.org/user/orion', 'source_json': {}, 'source_type': None, 'ssh_public_keys': None, 'storage': None, 'submitter': 'https://src.fedoraproject.org/user/orion', 'tags': [], 'task_id': '8413972-fedora-rawhide-x86_64', 'timeout': 18000, 'uses_devel_repo': False, 'with_opts': [], 'without_opts': []} Running: git clone https://copr-dist-git.fedorainfracloud.org/git/psimovec/scipy-1.8.3:pr:5/python-scikit-learn /var/lib/copr-rpmbuild/workspace/workdir-o81gd9a_/python-scikit-learn --depth 500 --no-single-branch --recursive cmd: ['git', 'clone', 'https://copr-dist-git.fedorainfracloud.org/git/psimovec/scipy-1.8.3:pr:5/python-scikit-learn', '/var/lib/copr-rpmbuild/workspace/workdir-o81gd9a_/python-scikit-learn', '--depth', '500', '--no-single-branch', '--recursive'] cwd: . rc: 0 stdout: stderr: Cloning into '/var/lib/copr-rpmbuild/workspace/workdir-o81gd9a_/python-scikit-learn'... Running: git checkout 0ac1ab22b2bbc55ce344a42487c94a38f860061a -- cmd: ['git', 'checkout', '0ac1ab22b2bbc55ce344a42487c94a38f860061a', '--'] cwd: /var/lib/copr-rpmbuild/workspace/workdir-o81gd9a_/python-scikit-learn rc: 0 stdout: stderr: Note: switching to '0ac1ab22b2bbc55ce344a42487c94a38f860061a'. 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 0ac1ab2 automatic import of python-scikit-learn Running: dist-git-client sources cmd: ['dist-git-client', 'sources'] cwd: /var/lib/copr-rpmbuild/workspace/workdir-o81gd9a_/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-1.6.0.tar.gz INFO: Reading stdout from command: curl --help all INFO: Calling: curl -H Pragma: -o scikit_learn-1.6.0.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/psimovec/scipy-1.8.3:pr:5/python-scikit-learn/scikit_learn-1.6.0.tar.gz/md5/399fe9609819ccfbf385224d5a3d1962/scikit_learn-1.6.0.tar.gz % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 6909k 100 6909k 0 0 6048k 0 0:00:01 0:00:01 --:--:-- 6050k INFO: Reading stdout from command: md5sum scikit_learn-1.6.0.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-o81gd9a_/python-scikit-learn/python-scikit-learn.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-o81gd9a_/python-scikit-learn --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1734571110.300285 -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-o81gd9a_/python-scikit-learn/python-scikit-learn.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-o81gd9a_/python-scikit-learn --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1734571110.300285 -r /var/lib/copr-rpmbuild/results/configs/child.cfg Start(bootstrap): init plugins INFO: tmpfs initialized INFO: selinux enabled INFO: chroot_scan: initialized INFO: compress_logs: initialized Finish(bootstrap): init plugins 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-o81gd9a_/python-scikit-learn/python-scikit-learn.spec) Config(fedora-rawhide-x86_64) Start: clean chroot Finish: clean chroot Mock Version: 5.9 INFO: Mock Version: 5.9 Start(bootstrap): chroot init INFO: mounting tmpfs at /var/lib/mock/fedora-rawhide-x86_64-bootstrap-1734571110.300285/root. INFO: calling preinit hooks INFO: enabled root cache INFO: enabled package manager cache Start(bootstrap): cleaning package manager metadata Finish(bootstrap): cleaning package manager metadata INFO: Guessed host environment type: unknown INFO: Using bootstrap image: registry.fedoraproject.org/fedora:rawhide INFO: Pulling image: registry.fedoraproject.org/fedora:rawhide INFO: Copy content of container registry.fedoraproject.org/fedora:rawhide to /var/lib/mock/fedora-rawhide-x86_64-bootstrap-1734571110.300285/root INFO: Checking that registry.fedoraproject.org/fedora:rawhide image matches host's architecture INFO: mounting registry.fedoraproject.org/fedora:rawhide with podman image mount INFO: image registry.fedoraproject.org/fedora:rawhide as /var/lib/containers/storage/overlay/20264d84b038c0676961d488450f3d7ec1848d7a526bdc9503d1c1a787d88a3c/merged INFO: umounting image registry.fedoraproject.org/fedora:rawhide (/var/lib/containers/storage/overlay/20264d84b038c0676961d488450f3d7ec1848d7a526bdc9503d1c1a787d88a3c/merged) with podman image umount INFO: Package manager dnf5 detected and used (fallback) INFO: Not updating bootstrap chroot, bootstrap_image_ready=True Start(bootstrap): creating root cache Finish(bootstrap): creating root cache Finish(bootstrap): chroot init Start: chroot init INFO: mounting tmpfs at /var/lib/mock/fedora-rawhide-x86_64-1734571110.300285/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 (direct choice) INFO: Buildroot is handled by package management downloaded with a bootstrap image: rpm-4.20.0-1.fc42.x86_64 rpm-sequoia-1.7.0-3.fc42.x86_64 dnf5-5.2.8.1-2.fc42.x86_64 dnf5-plugins-5.2.8.1-2.fc42.x86_64 Start: installing minimal buildroot with dnf5 Updating and loading repositories: fedora 100% | 14.8 MiB/s | 21.9 MiB | 00m01s Copr repository 100% | 2.8 MiB/s | 415.4 KiB | 00m00s Additional repo http_kojipkgs_fedorapr 100% | 27.7 MiB/s | 14.3 MiB | 00m01s Repositories loaded. 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http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 145.5 KiB mpfr x86_64 4.2.1-5.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 832.1 KiB ncurses-base noarch 6.5-2.20240629.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 326.3 KiB ncurses-libs x86_64 6.5-2.20240629.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 975.2 KiB ocaml-srpm-macros noarch 10-3.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.9 KiB openblas-srpm-macros noarch 2-18.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 112.0 B openldap x86_64 2.6.8-6.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 647.4 KiB openssl-libs x86_64 1:3.2.2-8.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 7.8 MiB p11-kit x86_64 0.25.5-4.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 2.2 MiB p11-kit-trust x86_64 0.25.5-4.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 403.8 KiB package-notes-srpm-macros noarch 0.5-12.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.6 KiB pam x86_64 1.7.0-3.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.8 MiB pam-libs x86_64 1.7.0-3.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 139.4 KiB pcre2 x86_64 10.44-1.fc41.1 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 653.5 KiB pcre2-syntax noarch 10.44-1.fc41.1 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 251.6 KiB perl-srpm-macros noarch 1-56.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 861.0 B pkgconf x86_64 2.3.0-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 88.6 KiB 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 1.16.3-1.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 6.8.1-4.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 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 3.1 MiB rpm-build-libs x86_64 4.20.0-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 206.7 KiB rpm-libs x86_64 4.20.0-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 726.1 KiB rpm-sequoia x86_64 1.7.0-3.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 2.3 MiB rust-srpm-macros noarch 26.3-3.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 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 3.47.2-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.4 MiB systemd-libs x86_64 257-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 2.2 MiB util-linux-core x86_64 2.40.2-8.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 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 3.0-42.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 695.9 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 51 MiB. Need to download 51 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% | 700.3 KiB/s | 52.5 KiB | 00m00s [ 2/154] bash-0:5.2.37-1.fc42.x86_64 100% | 10.5 MiB/s | 1.8 MiB | 00m00s [ 3/154] cpio-0:2.15-2.fc41.x86_64 100% | 3.0 MiB/s | 285.2 KiB | 00m00s [ 4/154] coreutils-0:9.5-11.fc42.x86_6 100% | 6.0 MiB/s | 1.1 MiB | 00m00s [ 5/154] fedora-release-common-0:42-0. 100% | 1.3 MiB/s | 23.9 KiB | 00m00s [ 6/154] diffutils-0:3.10-8.fc41.x86_6 100% | 19.4 MiB/s | 397.2 KiB | 00m00s [ 7/154] findutils-1:4.10.0-4.fc41.x86 100% | 19.5 MiB/s | 539.8 KiB | 00m00s [ 8/154] glibc-minimal-langpack-0:2.40 100% | 6.3 MiB/s | 122.0 KiB | 00m00s [ 9/154] grep-0:3.11-9.fc41.x86_64 100% | 10.9 MiB/s | 289.7 KiB | 00m00s [ 10/154] gzip-0:1.13-2.fc41.x86_64 100% | 5.5 MiB/s | 164.1 KiB | 00m00s [ 11/154] info-0:7.1.1-2.fc42.x86_64 100% | 8.1 MiB/s | 183.2 KiB | 00m00s [ 12/154] patch-0:2.7.6-25.fc41.x86_64 100% | 6.4 MiB/s | 131.0 KiB | 00m00s [ 13/154] redhat-rpm-config-0:296-1.fc4 100% | 4.1 MiB/s | 75.7 KiB | 00m00s [ 14/154] rpm-build-0:4.20.0-1.fc42.x86 100% | 3.9 MiB/s | 75.2 KiB | 00m00s [ 15/154] sed-0:4.9-3.fc41.x86_64 100% | 14.4 MiB/s | 309.3 KiB | 00m00s [ 16/154] tar-2:1.35-4.fc41.x86_64 100% | 27.7 MiB/s | 852.1 KiB | 00m00s [ 17/154] unzip-0:6.0-65.fc42.x86_64 100% | 10.0 MiB/s | 184.5 KiB | 00m00s [ 18/154] shadow-utils-2:4.17.0~rc1-1.f 100% | 16.1 MiB/s | 1.2 MiB | 00m00s [ 19/154] which-0:2.21-42.fc41.x86_64 100% | 2.4 MiB/s | 41.6 KiB | 00m00s [ 20/154] util-linux-0:2.40.2-8.fc42.x8 100% | 31.0 MiB/s | 1.1 MiB | 00m00s [ 21/154] gawk-0:5.3.0-4.fc41.x86_64 100% | 5.1 MiB/s | 1.1 MiB | 00m00s [ 22/154] xz-1:5.6.3-2.fc42.x86_64 100% | 10.5 MiB/s | 461.7 KiB | 00m00s [ 23/154] xz-libs-1:5.6.3-2.fc42.x86_64 100% | 3.4 MiB/s | 111.9 KiB | 00m00s [ 24/154] glibc-0:2.40.9000-24.fc42.x86 100% | 39.0 MiB/s | 2.2 MiB | 00m00s [ 25/154] audit-libs-0:4.0.2-1.fc41.x86 100% | 4.7 MiB/s | 126.2 KiB | 00m00s [ 26/154] libblkid-0:2.40.2-8.fc42.x86_ 100% | 6.8 MiB/s | 125.0 KiB | 00m00s [ 27/154] libcap-ng-0:0.8.5-3.fc41.x86_ 100% | 1.9 MiB/s | 32.6 KiB | 00m00s [ 28/154] authselect-libs-0:1.5.0-8.fc4 100% | 4.9 MiB/s | 204.7 KiB | 00m00s [ 29/154] libfdisk-0:2.40.2-8.fc42.x86_ 100% | 8.2 MiB/s | 159.6 KiB | 00m00s [ 30/154] libselinux-0:3.8-0.rc1.2.fc42 100% | 5.2 MiB/s | 90.7 KiB | 00m00s [ 31/154] libmount-0:2.40.2-8.fc42.x86_ 100% | 4.6 MiB/s | 156.1 KiB | 00m00s [ 32/154] libsmartcols-0:2.40.2-8.fc42. 100% | 4.8 MiB/s | 83.9 KiB | 00m00s [ 33/154] libuuid-0:2.40.2-8.fc42.x86_6 100% | 1.7 MiB/s | 29.0 KiB | 00m00s [ 34/154] ncurses-libs-0:6.5-2.20240629 100% | 15.5 MiB/s | 334.0 KiB | 00m00s [ 35/154] pam-libs-0:1.7.0-3.fc42.x86_6 100% | 3.0 MiB/s | 58.0 KiB | 00m00s [ 36/154] readline-0:8.2-11.fc42.x86_64 100% | 11.0 MiB/s | 213.4 KiB | 00m00s [ 37/154] util-linux-core-0:2.40.2-8.fc 100% | 19.6 MiB/s | 521.5 KiB | 00m00s [ 38/154] pam-0:1.7.0-3.fc42.x86_64 100% | 6.2 MiB/s | 517.9 KiB | 00m00s [ 39/154] zlib-ng-compat-0:2.2.2-1.fc42 100% | 4.2 MiB/s | 76.9 KiB | 00m00s [ 40/154] systemd-libs-0:257-1.fc42.x86 100% | 11.4 MiB/s | 770.3 KiB | 00m00s [ 41/154] bzip2-libs-0:1.0.8-19.fc41.x8 100% | 2.4 MiB/s | 41.1 KiB | 00m00s [ 42/154] libacl-0:2.3.2-2.fc41.x86_64 100% | 1.4 MiB/s | 24.5 KiB | 00m00s [ 43/154] libcap-0:2.71-1.fc42.x86_64 100% | 5.0 MiB/s | 86.4 KiB | 00m00s [ 44/154] libattr-0:2.5.2-4.fc41.x86_64 100% | 1.0 MiB/s | 18.2 KiB | 00m00s [ 45/154] libeconf-0:0.7.5-1.fc42.x86_6 100% | 1.9 MiB/s | 33.1 KiB | 00m00s [ 46/154] libgcc-0:14.2.1-6.fc42.x86_64 100% | 4.0 MiB/s | 135.2 KiB | 00m00s [ 47/154] libsemanage-0:3.8-0.rc1.1.fc4 100% | 6.7 MiB/s | 115.9 KiB | 00m00s [ 48/154] libxcrypt-0:4.4.36-11.fc42.x8 100% | 6.8 MiB/s | 118.1 KiB | 00m00s [ 49/154] debugedit-0:5.1-2.fc42.x86_64 100% | 4.5 MiB/s | 78.2 KiB | 00m00s [ 50/154] setup-0:2.15.0-5.fc41.noarch 100% | 4.5 MiB/s | 148.3 KiB | 00m00s [ 51/154] elfutils-0:0.192-7.fc42.x86_6 100% | 19.5 MiB/s | 499.5 KiB | 00m00s [ 52/154] elfutils-libelf-0:0.192-7.fc4 100% | 4.9 MiB/s | 204.6 KiB | 00m00s [ 53/154] file-0:5.45-8.fc42.x86_64 100% | 2.8 MiB/s | 48.6 KiB | 00m00s [ 54/154] libarchive-0:3.7.7-1.fc42.x86 100% | 19.2 MiB/s | 413.9 KiB | 00m00s [ 55/154] pkgconf-pkg-config-0:2.3.0-1. 100% | 500.5 KiB/s | 10.0 KiB | 00m00s [ 56/154] popt-0:1.19-7.fc41.x86_64 100% | 3.2 MiB/s | 59.3 KiB | 00m00s [ 57/154] rpm-build-libs-0:4.20.0-1.fc4 100% | 5.7 MiB/s | 98.7 KiB | 00m00s [ 58/154] rpm-libs-0:4.20.0-1.fc42.x86_ 100% | 13.7 MiB/s | 309.5 KiB | 00m00s [ 59/154] rpm-0:4.20.0-1.fc42.x86_64 100% | 6.9 MiB/s | 519.3 KiB | 00m00s [ 60/154] zstd-0:1.5.6-2.fc41.x86_64 100% | 18.1 MiB/s | 481.5 KiB | 00m00s [ 61/154] curl-0:8.11.1-2.fc42.x86_64 100% | 6.3 MiB/s | 220.2 KiB | 00m00s [ 62/154] ansible-srpm-macros-0:1-16.fc 100% | 1.2 MiB/s | 20.8 KiB | 00m00s [ 63/154] glibc-gconv-extra-0:2.40.9000 100% | 34.2 MiB/s | 1.5 MiB | 00m00s [ 64/154] build-reproducibility-srpm-ma 100% | 657.6 KiB/s | 11.2 KiB | 00m00s [ 65/154] dwz-0:0.15-8.fc42.x86_64 100% | 5.4 MiB/s | 139.1 KiB | 00m00s [ 66/154] efi-srpm-macros-0:5-13.fc42.n 100% | 1.3 MiB/s | 22.5 KiB | 00m00s [ 67/154] fonts-srpm-macros-1:2.0.5-17. 100% | 1.5 MiB/s | 27.0 KiB | 00m00s [ 68/154] forge-srpm-macros-0:0.4.0-1.f 100% | 1.2 MiB/s | 19.8 KiB | 00m00s [ 69/154] fpc-srpm-macros-0:1.3-13.fc41 100% | 497.6 KiB/s | 8.0 KiB | 00m00s [ 70/154] ghc-srpm-macros-0:1.9.2-1.fc4 100% | 569.8 KiB/s | 9.1 KiB | 00m00s [ 71/154] gnat-srpm-macros-0:6-6.fc41.n 100% | 471.2 KiB/s | 9.0 KiB | 00m00s [ 72/154] go-srpm-macros-0:3.6.0-5.fc42 100% | 1.5 MiB/s | 28.0 KiB | 00m00s [ 73/154] kernel-srpm-macros-0:1.0-24.f 100% | 616.8 KiB/s | 9.9 KiB | 00m00s [ 74/154] lua-srpm-macros-0:1-14.fc41.n 100% | 522.3 KiB/s | 8.9 KiB | 00m00s [ 75/154] ocaml-srpm-macros-0:10-3.fc41 100% | 575.0 KiB/s | 9.2 KiB | 00m00s [ 76/154] openblas-srpm-macros-0:2-18.f 100% | 453.8 KiB/s | 7.7 KiB | 00m00s [ 77/154] package-notes-srpm-macros-0:0 100% | 614.3 KiB/s | 9.8 KiB | 00m00s [ 78/154] perl-srpm-macros-0:1-56.fc41. 100% | 532.0 KiB/s | 8.5 KiB 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KiB | 00m00s [ 92/154] gdbm-1:1.23-7.fc41.x86_64 100% | 8.0 MiB/s | 147.2 KiB | 00m00s [ 93/154] gdbm-libs-1:1.23-7.fc41.x86_6 100% | 3.2 MiB/s | 56.3 KiB | 00m00s [ 94/154] libnsl2-0:2.0.1-2.fc41.x86_64 100% | 1.7 MiB/s | 29.6 KiB | 00m00s [ 95/154] libpwquality-0:1.4.5-11.fc41. 100% | 5.9 MiB/s | 108.2 KiB | 00m00s [ 96/154] libtirpc-0:1.3.6-1.fc42.x86_6 100% | 3.9 MiB/s | 94.9 KiB | 00m00s [ 97/154] ca-certificates-0:2024.2.69_v 100% | 30.7 MiB/s | 944.5 KiB | 00m00s [ 98/154] crypto-policies-0:20241128-1. 100% | 3.8 MiB/s | 73.7 KiB | 00m00s [ 99/154] ncurses-base-0:6.5-2.20240629 100% | 3.7 MiB/s | 63.8 KiB | 00m00s [100/154] libcom_err-0:1.47.1-6.fc42.x8 100% | 1.4 MiB/s | 26.6 KiB | 00m00s [101/154] libsepol-0:3.8-0.rc1.1.fc42.x 100% | 16.1 MiB/s | 345.7 KiB | 00m00s [102/154] pcre2-0:10.44-1.fc41.1.x86_64 100% | 11.9 MiB/s | 243.1 KiB | 00m00s [103/154] krb5-libs-0:1.21.3-3.fc42.x86 100% | 8.4 MiB/s | 756.3 KiB | 00m00s [104/154] cracklib-0:2.9.11-6.fc41.x86_ 100% | 4.4 MiB/s | 81.7 KiB | 00m00s [105/154] libxml2-0:2.12.8-2.fc41.x86_6 100% | 24.0 MiB/s | 687.3 KiB | 00m00s [106/154] openssl-libs-1:3.2.2-8.fc42.x 100% | 12.7 MiB/s | 2.3 MiB | 00m00s [107/154] libzstd-0:1.5.6-2.fc41.x86_64 100% | 7.0 MiB/s | 310.3 KiB | 00m00s [108/154] lz4-libs-0:1.10.0-1.fc41.x86_ 100% | 3.1 MiB/s | 70.7 KiB | 00m00s [109/154] keyutils-libs-0:1.6.3-4.fc41. 100% | 1.7 MiB/s | 31.6 KiB | 00m00s [110/154] libverto-0:0.3.2-9.fc41.x86_6 100% | 1.2 MiB/s | 20.7 KiB | 00m00s [111/154] basesystem-0:11-21.fc41.noarc 100% | 409.6 KiB/s | 7.4 KiB | 00m00s [112/154] glibc-common-0:2.40.9000-24.f 100% | 9.3 MiB/s | 391.3 KiB | 00m00s [113/154] gmp-1:6.3.0-2.fc41.x86_64 100% | 15.5 MiB/s | 318.0 KiB | 00m00s [114/154] mpfr-0:4.2.1-5.fc41.x86_64 100% | 9.1 MiB/s | 346.3 KiB | 00m00s [115/154] file-libs-0:5.45-8.fc42.x86_6 100% | 25.7 MiB/s | 763.6 KiB | 00m00s [116/154] fedora-repos-0:42-0.3.noarch 100% | 540.7 KiB/s | 9.2 KiB | 00m00s [117/154] elfutils-debuginfod-client-0: 100% | 2.5 MiB/s | 43.9 KiB | 00m00s [118/154] elfutils-libs-0:0.192-7.fc42. 100% | 12.9 MiB/s | 251.9 KiB | 00m00s [119/154] filesystem-0:3.18-29.fc42.x86 100% | 9.7 MiB/s | 1.1 MiB | 00m00s [120/154] libffi-0:3.4.6-3.fc42.x86_64 100% | 2.3 MiB/s | 40.0 KiB | 00m00s [121/154] libstdc++-0:14.2.1-6.fc42.x86 100% | 11.6 MiB/s | 890.1 KiB | 00m00s [122/154] coreutils-common-0:9.5-11.fc4 100% | 31.3 MiB/s | 2.1 MiB | 00m00s [123/154] p11-kit-0:0.25.5-4.fc42.x86_6 100% | 9.2 MiB/s | 478.3 KiB | 00m00s [124/154] p11-kit-trust-0:0.25.5-4.fc42 100% | 6.5 MiB/s | 133.2 KiB | 00m00s [125/154] alternatives-0:1.31-1.fc42.x8 100% | 2.1 MiB/s | 39.4 KiB | 00m00s [126/154] jansson-0:2.14-1.fc42.x86_64 100% | 2.1 MiB/s | 45.3 KiB | 00m00s [127/154] lua-libs-0:5.4.7-1.fc42.x86_6 100% | 5.2 MiB/s | 132.1 KiB | 00m00s [128/154] add-determinism-0:0.4.3-1.fc4 100% | 12.1 MiB/s | 904.4 KiB | 00m00s [129/154] sqlite-libs-0:3.47.2-1.fc42.x 100% | 19.0 MiB/s | 699.8 KiB | 00m00s [130/154] libgomp-0:14.2.1-6.fc42.x86_6 100% | 10.0 MiB/s | 356.9 KiB | 00m00s [131/154] pcre2-syntax-0:10.44-1.fc41.1 100% | 7.7 MiB/s | 149.9 KiB | 00m00s [132/154] rpm-sequoia-0:1.7.0-3.fc42.x8 100% | 9.6 MiB/s | 826.0 KiB | 00m00s [133/154] libtasn1-0:4.19.0-9.fc41.x86_ 100% | 4.3 MiB/s | 74.2 KiB | 00m00s [134/154] fedora-repos-rawhide-0:42-0.3 100% | 515.5 KiB/s | 8.8 KiB | 00m00s [135/154] fedora-gpg-keys-0:42-0.3.noar 100% | 5.0 MiB/s | 123.4 KiB | 00m00s [136/154] elfutils-default-yama-scope-0 100% | 733.2 KiB/s | 12.5 KiB | 00m00s [137/154] json-c-0:0.18-1.fc42.x86_64 100% | 2.6 MiB/s | 44.4 KiB | 00m00s [138/154] fedora-release-0:42-0.11.noar 100% | 763.6 KiB/s | 13.0 KiB | 00m00s [139/154] xxhash-libs-0:0.8.2-4.fc42.x8 100% | 2.1 MiB/s | 36.8 KiB | 00m00s [140/154] fedora-release-identity-basic 100% | 810.9 KiB/s | 13.8 KiB | 00m00s [141/154] libcurl-0:8.11.1-2.fc42.x86_6 100% | 12.0 MiB/s | 356.7 KiB | 00m00s [142/154] libbrotli-0:1.1.0-5.fc41.x86_ 100% | 7.9 MiB/s | 340.5 KiB | 00m00s [143/154] libidn2-0:2.3.7-2.fc41.x86_64 100% | 5.8 MiB/s | 112.6 KiB | 00m00s [144/154] libnghttp2-0:1.64.0-1.fc42.x8 100% | 4.4 MiB/s | 77.4 KiB | 00m00s [145/154] libpsl-0:0.21.5-4.fc41.x86_64 100% | 3.5 MiB/s | 64.1 KiB | 00m00s [146/154] libssh-0:0.11.1-1.fc42.x86_64 100% | 11.3 MiB/s | 231.9 KiB | 00m00s [147/154] openldap-0:2.6.8-6.fc42.x86_6 100% | 7.4 MiB/s | 243.4 KiB | 00m00s [148/154] cyrus-sasl-lib-0:2.1.28-27.fc 100% | 21.0 MiB/s | 794.9 KiB | 00m00s [149/154] libevent-0:2.1.12-14.fc41.x86 100% | 7.6 MiB/s | 257.5 KiB | 00m00s [150/154] libtool-ltdl-0:2.5.4-1.fc42.x 100% | 1.9 MiB/s | 34.2 KiB | 00m00s [151/154] libssh-config-0:0.11.1-1.fc42 100% | 552.1 KiB/s | 9.4 KiB | 00m00s [152/154] publicsuffix-list-dafsa-0:202 100% | 3.3 MiB/s | 58.3 KiB | 00m00s [153/154] libunistring-0:1.1-8.fc41.x86 100% | 10.0 MiB/s | 544.8 KiB | 00m00s [154/154] gdb-minimal-0:15.2-4.fc42.x86 100% | 15.9 MiB/s | 4.0 MiB | 00m00s -------------------------------------------------------------------------------- [154/154] Total 100% | 27.4 MiB/s | 51.4 MiB | 00m02s Running transaction [ 1/156] Verify package files 100% | 700.0 B/s | 154.0 B | 00m00s [ 2/156] Prepare transaction 100% | 1.2 KiB/s | 154.0 B | 00m00s [ 3/156] Installing libgcc-0:14.2.1-6. 100% | 88.6 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% | 796.9 KiB/s | 816.0 B | 00m00s [ 6/156] Installing fedora-release-ide 100% | 953.1 KiB/s | 976.0 B | 00m00s [ 7/156] Installing fedora-gpg-keys-0: 100% | 12.0 MiB/s | 172.2 KiB | 00m00s [ 8/156] Installing fedora-repos-rawhi 100% | 2.4 MiB/s | 2.4 KiB | 00m00s [ 9/156] Installing fedora-repos-0:42- 100% | 5.6 MiB/s | 5.7 KiB | 00m00s [ 10/156] Installing fedora-release-com 100% | 7.9 MiB/s | 24.1 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% | 35.5 MiB/s | 726.1 KiB | 00m00s >>> [RPM] /etc/hosts created as /etc/hosts.rpmnew [ 13/156] Installing filesystem-0:3.18- 100% | 1.1 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 pcre2-syntax-0:10. 100% | 82.7 MiB/s | 254.1 KiB | 00m00s [ 16/156] Installing coreutils-common-0 100% | 186.5 MiB/s | 11.2 MiB | 00m00s [ 17/156] Installing ncurses-base-0:6.5 100% | 26.4 MiB/s | 351.7 KiB | 00m00s [ 18/156] Installing glibc-minimal-lang 100% | 121.1 KiB/s | 124.0 B | 00m00s [ 19/156] Installing ncurses-libs-0:6.5 100% | 119.9 MiB/s | 981.8 KiB | 00m00s [ 20/156] Installing glibc-0:2.40.9000- 100% | 202.2 MiB/s | 6.7 MiB | 00m00s [ 21/156] Installing bash-0:5.2.37-1.fc 100% | 255.3 MiB/s | 8.2 MiB | 00m00s [ 22/156] Installing glibc-common-0:2.4 100% | 115.7 MiB/s | 1.0 MiB | 00m00s [ 23/156] Installing glibc-gconv-extra- 100% | 139.2 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% | 214.3 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 libuuid-0:2.40.2-8 100% | 41.5 MiB/s | 42.5 KiB | 00m00s [ 28/156] Installing readline-0:8.2-11. 100% | 161.2 MiB/s | 495.3 KiB | 00m00s [ 29/156] Installing popt-0:1.19-7.fc41 100% | 28.0 MiB/s | 143.5 KiB | 00m00s [ 30/156] Installing libblkid-0:2.40.2- 100% | 128.7 MiB/s | 263.6 KiB | 00m00s [ 31/156] Installing libattr-0:2.5.2-4. 100% | 28.8 MiB/s | 29.5 KiB | 00m00s [ 32/156] Installing libacl-0:2.3.2-2.f 100% | 39.8 MiB/s | 40.7 KiB | 00m00s [ 33/156] Installing libxcrypt-0:4.4.36 100% | 133.8 MiB/s | 274.1 KiB | 00m00s [ 34/156] Installing libzstd-0:1.5.6-2. 100% | 194.6 MiB/s | 797.2 KiB | 00m00s [ 35/156] Installing elfutils-libelf-0: 100% | 233.4 MiB/s | 1.2 MiB | 00m00s [ 36/156] Installing gmp-1:6.3.0-2.fc41 100% | 198.6 MiB/s | 813.7 KiB | 00m00s [ 37/156] Installing libstdc++-0:14.2.1 100% | 250.9 MiB/s | 2.8 MiB | 00m00s [ 38/156] Installing libeconf-0:0.7.5-1 100% | 66.8 MiB/s | 68.4 KiB | 00m00s [ 39/156] Installing gdbm-libs-1:1.23-7 100% | 120.7 MiB/s | 123.6 KiB | 00m00s [ 40/156] Installing mpfr-0:4.2.1-5.fc4 100% | 203.5 MiB/s | 833.7 KiB | 00m00s [ 41/156] Installing gawk-0:5.3.0-4.fc4 100% | 157.5 MiB/s | 1.7 MiB | 00m00s [ 42/156] Installing dwz-0:0.15-8.fc42. 100% | 146.8 MiB/s | 300.6 KiB | 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% | 432.1 MiB/s | 9.9 MiB | 00m00s [ 45/156] Installing file-0:5.45-8.fc42 100% | 6.0 MiB/s | 105.2 KiB | 00m00s [ 46/156] Installing crypto-policies-0: 100% | 13.3 MiB/s | 163.7 KiB | 00m00s [ 47/156] Installing libcap-ng-0:0.8.5- 100% | 69.4 MiB/s | 71.0 KiB | 00m00s [ 48/156] Installing audit-libs-0:4.0.2 100% | 162.8 MiB/s | 333.4 KiB | 00m00s [ 49/156] Installing pam-libs-0:1.7.0-3 100% | 69.2 MiB/s | 141.8 KiB | 00m00s [ 50/156] Installing libcap-0:2.71-1.fc 100% | 52.7 MiB/s | 215.8 KiB | 00m00s [ 51/156] Installing systemd-libs-0:257 100% | 201.9 MiB/s | 2.2 MiB | 00m00s [ 52/156] Installing libsmartcols-0:2.4 100% | 177.1 MiB/s | 181.4 KiB | 00m00s [ 53/156] Installing libcom_err-0:1.47. 100% | 66.7 MiB/s | 68.3 KiB | 00m00s [ 54/156] Installing libsepol-0:3.8-0.r 100% | 200.9 MiB/s | 823.0 KiB | 00m00s [ 55/156] Installing pcre2-0:10.44-1.fc 100% | 213.2 MiB/s | 654.9 KiB | 00m00s [ 56/156] Installing libselinux-0:3.8-0 100% | 94.2 MiB/s | 192.9 KiB | 00m00s [ 57/156] Installing sed-0:4.9-3.fc41.x 100% | 106.2 MiB/s | 869.7 KiB | 00m00s [ 58/156] Installing findutils-1:4.10.0 100% | 168.9 MiB/s | 1.9 MiB | 00m00s [ 59/156] Installing grep-0:3.11-9.fc41 100% | 100.3 MiB/s | 1.0 MiB | 00m00s [ 60/156] Installing xz-1:5.6.3-2.fc42. 100% | 112.5 MiB/s | 1.2 MiB | 00m00s [ 61/156] Installing libmount-0:2.40.2- 100% | 174.3 MiB/s | 356.9 KiB | 00m00s [ 62/156] Installing lz4-libs-0:1.10.0- 100% | 143.1 MiB/s | 146.6 KiB | 00m00s [ 63/156] Installing libffi-0:3.4.6-3.f 100% | 85.7 MiB/s | 87.8 KiB | 00m00s [ 64/156] Installing alternatives-0:1.3 100% | 64.8 MiB/s | 66.4 KiB | 00m00s [ 65/156] Installing lua-libs-0:5.4.7-1 100% | 139.7 MiB/s | 286.2 KiB | 00m00s [ 66/156] Installing libtasn1-0:4.19.0- 100% | 86.7 MiB/s | 177.5 KiB | 00m00s [ 67/156] Installing p11-kit-0:0.25.5-4 100% | 138.5 MiB/s | 2.2 MiB | 00m00s [ 68/156] Installing libunistring-0:1.1 100% | 247.2 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% | 22.0 MiB/s | 405.5 KiB | 00m00s [ 72/156] Installing openssl-libs-1:3.2 100% | 223.7 MiB/s | 7.8 MiB | 00m00s [ 73/156] Installing coreutils-0:9.5-11 100% | 125.6 MiB/s | 5.4 MiB | 00m00s [ 74/156] Installing ca-certificates-0: 100% | 1.1 MiB/s | 2.4 MiB | 00m02s [ 75/156] Installing gzip-0:1.13-2.fc41 100% | 77.1 MiB/s | 394.6 KiB | 00m00s [ 76/156] Installing authselect-libs-0: 100% | 74.3 MiB/s | 837.2 KiB | 00m00s [ 77/156] Installing cracklib-0:2.9.11- 100% | 30.6 MiB/s | 250.3 KiB | 00m00s [ 78/156] Installing libpwquality-0:1.4 100% | 46.7 MiB/s | 430.1 KiB | 00m00s [ 79/156] Installing rpm-sequoia-0:1.7. 100% | 232.4 MiB/s | 2.3 MiB | 00m00s [ 80/156] Installing libevent-0:2.1.12- 100% | 175.7 MiB/s | 899.5 KiB | 00m00s [ 81/156] Installing zstd-0:1.5.6-2.fc4 100% | 241.6 MiB/s | 1.7 MiB | 00m00s [ 82/156] Installing util-linux-core-0: 100% | 117.5 MiB/s | 1.5 MiB | 00m00s [ 83/156] Installing tar-2:1.35-4.fc41. 100% | 197.2 MiB/s | 3.0 MiB | 00m00s [ 84/156] Installing libsemanage-0:3.8- 100% | 75.0 MiB/s | 307.1 KiB | 00m00s [ 85/156] Installing shadow-utils-2:4.1 100% | 114.5 MiB/s | 4.1 MiB | 00m00s [ 86/156] Installing zip-0:3.0-42.fc42. 100% | 136.7 MiB/s | 699.8 KiB | 00m00s [ 87/156] Installing gdbm-1:1.23-7.fc41 100% | 91.0 MiB/s | 465.8 KiB | 00m00s [ 88/156] Installing cyrus-sasl-lib-0:2 100% | 230.6 MiB/s | 2.3 MiB | 00m00s [ 89/156] Installing libfdisk-0:2.40.2- 100% | 177.7 MiB/s | 364.0 KiB | 00m00s [ 90/156] Installing bzip2-0:1.0.8-19.f 100% | 48.9 MiB/s | 100.2 KiB | 00m00s [ 91/156] Installing libxml2-0:2.12.8-2 100% | 214.0 MiB/s | 1.7 MiB | 00m00s [ 92/156] Installing libarchive-0:3.7.7 100% | 182.5 MiB/s | 934.2 KiB | 00m00s [ 93/156] Installing add-determinism-0: 100% | 270.1 MiB/s | 2.4 MiB | 00m00s [ 94/156] Installing build-reproducibil 100% | 0.0 B/s | 1.0 KiB | 00m00s [ 95/156] Installing sqlite-libs-0:3.47 100% | 239.0 MiB/s | 1.4 MiB | 00m00s [ 96/156] Installing rpm-libs-0:4.20.0- 100% | 177.7 MiB/s | 727.7 KiB | 00m00s [ 97/156] Installing ed-0:1.20.2-2.fc41 100% | 72.8 MiB/s | 149.2 KiB | 00m00s [ 98/156] Installing patch-0:2.7.6-25.f 100% | 131.0 MiB/s | 268.2 KiB | 00m00s [ 99/156] Installing elfutils-default-y 100% | 145.9 KiB/s | 2.0 KiB | 00m00s [100/156] Installing elfutils-libs-0:0. 100% | 129.8 MiB/s | 664.7 KiB | 00m00s [101/156] Installing cpio-0:2.15-2.fc41 100% | 137.5 MiB/s | 1.1 MiB | 00m00s [102/156] Installing diffutils-0:3.10-8 100% | 144.6 MiB/s | 1.6 MiB | 00m00s [103/156] Installing libpkgconf-0:2.3.0 100% | 77.5 MiB/s | 79.3 KiB | 00m00s [104/156] Installing pkgconf-0:2.3.0-1. 100% | 44.5 MiB/s | 91.1 KiB | 00m00s [105/156] Installing keyutils-libs-0:1. 100% | 54.5 MiB/s | 55.8 KiB | 00m00s [106/156] Installing libverto-0:0.3.2-9 100% | 30.5 MiB/s | 31.3 KiB | 00m00s [107/156] Installing krb5-libs-0:1.21.3 100% | 164.6 MiB/s | 2.3 MiB | 00m00s [108/156] Installing libtirpc-0:1.3.6-1 100% | 101.2 MiB/s | 207.3 KiB | 00m00s [109/156] Installing libnsl2-0:2.0.1-2. 100% | 28.8 MiB/s | 59.1 KiB | 00m00s [110/156] Installing pam-0:1.7.0-3.fc42 100% | 72.8 MiB/s | 1.9 MiB | 00m00s [111/156] Installing libssh-0:0.11.1-1. 100% | 186.1 MiB/s | 571.7 KiB | 00m00s [112/156] Installing jansson-0:2.14-1.f 100% | 46.2 MiB/s | 94.5 KiB | 00m00s 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MiB/s | 12.7 MiB | 00m00s [126/156] Installing debugedit-0:5.1-2. 100% | 99.1 MiB/s | 203.0 KiB | 00m00s [127/156] Installing curl-0:8.11.1-2.fc 100% | 19.3 MiB/s | 454.5 KiB | 00m00s [128/156] Installing rpm-0:4.20.0-1.fc4 100% | 83.5 MiB/s | 2.5 MiB | 00m00s [129/156] Installing efi-srpm-macros-0: 100% | 40.2 MiB/s | 41.2 KiB | 00m00s [130/156] Installing lua-srpm-macros-0: 100% | 0.0 B/s | 1.9 KiB | 00m00s [131/156] Installing zig-srpm-macros-0: 100% | 1.6 MiB/s | 1.7 KiB | 00m00s [132/156] Installing pkgconf-m4-0:2.3.0 100% | 0.0 B/s | 14.8 KiB | 00m00s [133/156] Installing pkgconf-pkg-config 100% | 1.7 MiB/s | 1.8 KiB | 00m00s [134/156] Installing rust-srpm-macros-0 100% | 5.4 MiB/s | 5.6 KiB | 00m00s [135/156] Installing qt6-srpm-macros-0: 100% | 0.0 B/s | 732.0 B | 00m00s [136/156] Installing qt5-srpm-macros-0: 100% | 0.0 B/s | 776.0 B | 00m00s [137/156] Installing perl-srpm-macros-0 100% | 0.0 B/s | 1.1 KiB | 00m00s [138/156] Installing package-notes-srpm 100% | 2.0 MiB/s | 2.0 KiB | 00m00s [139/156] Installing openblas-srpm-macr 100% | 0.0 B/s | 392.0 B | 00m00s [140/156] Installing ocaml-srpm-macros- 100% | 0.0 B/s | 2.2 KiB | 00m00s [141/156] Installing kernel-srpm-macros 100% | 0.0 B/s | 2.3 KiB | 00m00s [142/156] Installing gnat-srpm-macros-0 100% | 0.0 B/s | 1.3 KiB | 00m00s [143/156] Installing ghc-srpm-macros-0: 100% | 0.0 B/s | 1.0 KiB | 00m00s [144/156] Installing fpc-srpm-macros-0: 100% | 0.0 B/s | 420.0 B | 00m00s [145/156] Installing ansible-srpm-macro 100% | 35.4 MiB/s | 36.2 KiB | 00m00s [146/156] Installing fonts-srpm-macros- 100% | 55.7 MiB/s | 57.0 KiB | 00m00s [147/156] Installing forge-srpm-macros- 100% | 39.3 MiB/s | 40.3 KiB | 00m00s [148/156] Installing go-srpm-macros-0:3 100% | 60.5 MiB/s | 62.0 KiB | 00m00s [149/156] Installing python-srpm-macros 100% | 50.9 MiB/s | 52.2 KiB | 00m00s [150/156] Installing redhat-rpm-config- 100% | 47.2 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% | 80.8 MiB/s | 3.7 MiB | 00m00s [154/156] Installing authselect-0:1.5.0 100% | 39.5 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% | 130.3 KiB/s | 362.2 KiB | 00m03s Warning: skipped OpenPGP checks for 154 packages from repository: 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-1.31-1.fc42.x86_64 ansible-srpm-macros-1-16.fc41.noarch audit-libs-4.0.2-1.fc41.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-8.11.1-2.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-42-0.11.noarch fedora-release-common-42-0.11.noarch fedora-release-identity-basic-42-0.11.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-15.2-4.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-2.40.9000-24.fc42.x86_64 glibc-common-2.40.9000-24.fc42.x86_64 glibc-gconv-extra-2.40.9000-24.fc42.x86_64 glibc-minimal-langpack-2.40.9000-24.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-8.11.1-2.fc42.x86_64 libeconf-0.7.5-1.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.rc1.2.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-2.5.4-1.fc42.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-2.6.8-6.fc42.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-1.16.3-1.fc42.noarch python-srpm-macros-3.13-3.fc41.noarch qt5-srpm-macros-5.15.15-1.fc42.noarch qt6-srpm-macros-6.8.1-4.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-1.7.0-3.fc42.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-4.17.0~rc1-1.fc42.x86_64 sqlite-libs-3.47.2-1.fc42.x86_64 systemd-libs-257-1.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-3.0-42.fc42.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=1734566400 Wrote: /builddir/build/SRPMS/python-scikit-learn-1.6.0-1.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-rawhide-x86_64-1734571110.300285/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-o81gd9a_/python-scikit-learn/python-scikit-learn.spec) Config(child) 0 minutes 37 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-1.6.0-1.fc42.src.rpm) Config(fedora-rawhide-x86_64) Start(bootstrap): chroot init INFO: mounting tmpfs at /var/lib/mock/fedora-rawhide-x86_64-bootstrap-1734571110.300285/root. INFO: reusing tmpfs at /var/lib/mock/fedora-rawhide-x86_64-bootstrap-1734571110.300285/root. INFO: calling preinit hooks INFO: enabled root cache INFO: enabled package manager cache Start(bootstrap): cleaning package manager metadata Finish(bootstrap): cleaning package manager metadata Finish(bootstrap): chroot init Start: chroot init INFO: mounting tmpfs at /var/lib/mock/fedora-rawhide-x86_64-1734571110.300285/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 downloaded with a bootstrap image: rpm-4.20.0-1.fc42.x86_64 rpm-sequoia-1.7.0-3.fc42.x86_64 dnf5-5.2.8.1-2.fc42.x86_64 dnf5-plugins-5.2.8.1-2.fc42.x86_64 Finish: chroot init Start: build phase for python-scikit-learn-1.6.0-1.fc42.src.rpm Start: build setup for python-scikit-learn-1.6.0-1.fc42.src.rpm Building target platforms: x86_64 Building for target x86_64 setting SOURCE_DATE_EPOCH=1734566400 Wrote: /builddir/build/SRPMS/python-scikit-learn-1.6.0-1.fc42.src.rpm Updating and loading repositories: Copr repository 100% | 37.1 KiB/s | 2.2 KiB | 00m00s fedora 100% | 1.0 MiB/s | 26.0 KiB | 00m00s Additional repo http_kojipkgs_fedorapr 100% | 72.2 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 3.13.1-2.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 8.3.4-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 20.8 MiB python3-setuptools noarch 74.1.3-4.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 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 12.79-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 98.6 KiB annobin-plugin-gcc x86_64 12.79-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 989.3 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 2.40.9000-24.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 2.3 MiB kernel-headers x86_64 6.13.0-0.rc3.29.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 1.16.3-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 113.7 KiB python-pip-wheel noarch 24.3.1-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 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 3.13.1-2.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 30.6 KiB python3-cloudpickle noarch 3.1.0-2.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 128.0 KiB python3-iniconfig noarch 1.1.1-23.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 20.6 KiB python3-libs x86_64 3.13.1-2.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 39.8 MiB python3-packaging noarch 24.2-2.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 555.7 KiB python3-pluggy noarch 1.5.0-1.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 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 2024b-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.6 MiB Transaction Summary: Installing: 32 packages Total size of inbound packages is 85 MiB. Need to download 85 MiB. After this operation, 282 MiB extra will be used (install 282 MiB, remove 0 B). [ 1/32] python3-devel-0:3.13.1-2.fc42.x 100% | 3.5 MiB/s | 357.9 KiB | 00m00s [ 2/32] python3-joblib-0:1.4.2-3.fc41.n 100% | 4.3 MiB/s | 529.1 KiB | 00m00s [ 3/32] python3-setuptools-0:74.1.3-4.f 100% | 14.9 MiB/s | 1.8 MiB | 00m00s [ 4/32] python3-threadpoolctl-0:3.5.0-4 100% | 2.1 MiB/s | 44.4 KiB | 00m00s [ 5/32] gcc-c++-0:14.2.1-6.fc42.x86_64 100% | 29.2 MiB/s | 14.2 MiB | 00m00s [ 6/32] python3-pytest-0:8.3.4-1.fc42.n 100% | 14.6 MiB/s | 2.0 MiB | 00m00s [ 7/32] python3-0:3.13.1-2.fc42.x86_64 100% | 1.2 MiB/s | 26.9 KiB | 00m00s [ 8/32] python3-packaging-0:24.2-2.fc42 100% | 7.8 MiB/s | 143.6 KiB | 00m00s [ 9/32] python3-iniconfig-0:1.1.1-23.fc 100% | 951.2 KiB/s | 18.1 KiB | 00m00s [10/32] python3-pluggy-0:1.5.0-1.fc41.n 100% | 3.1 MiB/s | 53.1 KiB | 00m00s [11/32] python3-cloudpickle-0:3.1.0-2.f 100% | 2.7 MiB/s | 47.2 KiB | 00m00s [12/32] libmpc-0:1.3.1-6.fc41.x86_64 100% | 3.3 MiB/s | 71.1 KiB | 00m00s [13/32] libstdc++-devel-0:14.2.1-6.fc42 100% | 19.3 MiB/s | 2.6 MiB | 00m00s [14/32] python3-libs-0:3.13.1-2.fc42.x8 100% | 38.2 MiB/s | 8.6 MiB | 00m00s [15/32] gcc-0:14.2.1-6.fc42.x86_64 100% | 44.4 MiB/s | 36.9 MiB | 00m01s [16/32] glibc-devel-0:2.40.9000-24.fc42 100% | 7.8 MiB/s | 568.2 KiB | 00m00s [17/32] expat-0:2.6.4-1.fc42.x86_64 100% | 6.2 MiB/s | 114.5 KiB | 00m00s [18/32] make-1:4.4.1-9.fc42.x86_64 100% | 18.2 MiB/s | 579.3 KiB | 00m00s [19/32] libb2-0:0.98.1-12.fc41.x86_64 100% | 1.5 MiB/s | 25.7 KiB | 00m00s [20/32] mpdecimal-0:2.5.1-16.fc41.x86_6 100% | 5.1 MiB/s | 89.0 KiB | 00m00s [21/32] tzdata-0:2024b-1.fc42.noarch 100% | 15.5 MiB/s | 428.6 KiB | 00m00s [22/32] python-pip-wheel-0:24.3.1-1.fc4 100% | 30.1 MiB/s | 1.2 MiB | 00m00s [23/32] libxcrypt-devel-0:4.4.36-11.fc4 100% | 1.3 MiB/s | 28.2 KiB | 00m00s [24/32] kernel-headers-0:6.13.0-0.rc3.2 100% | 33.1 MiB/s | 1.5 MiB | 00m00s [25/32] pyproject-rpm-macros-0:1.16.3-1 100% | 2.6 MiB/s | 44.6 KiB | 00m00s [26/32] python-rpm-macros-0:3.13-3.fc41 100% | 981.6 KiB/s | 17.7 KiB | 00m00s [27/32] python3-rpm-generators-0:14-11. 100% | 1.7 MiB/s | 29.3 KiB | 00m00s [28/32] python3-rpm-macros-0:3.13-3.fc4 100% | 691.3 KiB/s | 12.4 KiB | 00m00s [29/32] gcc-plugin-annobin-0:14.2.1-6.f 100% | 2.8 MiB/s | 57.1 KiB | 00m00s [30/32] annobin-plugin-gcc-0:12.79-1.fc 100% | 26.5 MiB/s | 975.8 KiB | 00m00s [31/32] annobin-docs-0:12.79-1.fc42.noa 100% | 5.3 MiB/s | 92.7 KiB | 00m00s [32/32] cpp-0:14.2.1-6.fc42.x86_64 100% | 23.1 MiB/s | 11.9 MiB | 00m01s -------------------------------------------------------------------------------- [32/32] Total 100% | 69.4 MiB/s | 85.1 MiB | 00m01s Running transaction [ 1/34] Verify package files 100% | 109.0 B/s | 32.0 B | 00m00s [ 2/34] Prepare transaction 100% | 363.0 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% | 81.1 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 pyproject-rpm-macros 100% | 113.0 MiB/s | 115.7 KiB | 00m00s [ 7/34] Installing cpp-0:14.2.1-6.fc42. 100% | 255.3 MiB/s | 35.0 MiB | 00m00s [ 8/34] Installing annobin-docs-0:12.79 100% | 48.7 MiB/s | 99.7 KiB | 00m00s [ 9/34] Installing kernel-headers-0:6.1 100% | 108.9 MiB/s | 6.6 MiB | 00m00s [10/34] Installing libxcrypt-devel-0:4. 100% | 16.0 MiB/s | 32.9 KiB | 00m00s [11/34] Installing glibc-devel-0:2.40.9 100% | 72.8 MiB/s | 2.3 MiB | 00m00s [12/34] Installing tzdata-0:2024b-1.fc4 100% | 23.0 MiB/s | 1.9 MiB | 00m00s [13/34] Installing python-pip-wheel-0:2 100% | 311.0 MiB/s | 1.2 MiB | 00m00s [14/34] Installing mpdecimal-0:2.5.1-16 100% | 100.6 MiB/s | 206.0 KiB | 00m00s [15/34] Installing libb2-0:0.98.1-12.fc 100% | 42.3 MiB/s | 43.3 KiB | 00m00s [16/34] Installing expat-0:2.6.4-1.fc42 100% | 46.8 MiB/s | 287.6 KiB | 00m00s [17/34] Installing python3-libs-0:3.13. 100% | 179.5 MiB/s | 40.2 MiB | 00m00s [18/34] Installing python3-0:3.13.1-2.f 100% | 31.6 MiB/s | 32.4 KiB | 00m00s [19/34] Installing python3-packaging-0: 100% | 92.4 MiB/s | 568.0 KiB | 00m00s [20/34] Installing python3-rpm-generato 100% | 81.0 MiB/s | 82.9 KiB | 00m00s [21/34] Installing python3-iniconfig-0: 100% | 23.0 MiB/s | 23.6 KiB | 00m00s [22/34] Installing python3-pluggy-0:1.5 100% | 64.9 MiB/s | 199.4 KiB | 00m00s [23/34] Installing python3-cloudpickle- 100% | 64.3 MiB/s | 131.6 KiB | 00m00s [24/34] Installing make-1:4.4.1-9.fc42. 100% | 163.7 MiB/s | 1.8 MiB | 00m00s [25/34] Installing gcc-0:14.2.1-6.fc42. 100% | 264.1 MiB/s | 104.3 MiB | 00m00s [26/34] Installing libstdc++-devel-0:14 100% | 180.9 MiB/s | 15.6 MiB | 00m00s [27/34] Installing gcc-c++-0:14.2.1-6.f 100% | 252.5 MiB/s | 38.1 MiB | 00m00s [28/34] Installing annobin-plugin-gcc-0 100% | 29.3 MiB/s | 990.9 KiB | 00m00s [29/34] Installing gcc-plugin-annobin-0 100% | 1.6 MiB/s | 59.2 KiB | 00m00s [30/34] Installing python3-joblib-0:1.4 100% | 106.1 MiB/s | 2.2 MiB | 00m00s [31/34] Installing python3-pytest-0:8.3 100% | 238.7 MiB/s | 21.0 MiB | 00m00s [32/34] Installing python3-devel-0:3.13 100% | 95.6 MiB/s | 1.8 MiB | 00m00s [33/34] Installing python3-setuptools-0 100% | 107.0 MiB/s | 8.6 MiB | 00m00s [34/34] Installing python3-threadpoolct 100% | 642.8 KiB/s | 138.9 KiB | 00m00s Warning: skipped OpenPGP checks for 32 packages from repository: http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch Complete! Finish: build setup for python-scikit-learn-1.6.0-1.fc42.src.rpm Start: rpmbuild python-scikit-learn-1.6.0-1.fc42.src.rpm Building target platforms: x86_64 Building for target x86_64 setting SOURCE_DATE_EPOCH=1734566400 Executing(%mkbuilddir): /bin/sh -e /var/tmp/rpm-tmp.vUEp6m + umask 022 + cd /builddir/build/BUILD/python-scikit-learn-1.6.0-build + test -d /builddir/build/BUILD/python-scikit-learn-1.6.0-build + /usr/bin/chmod -Rf a+rX,u+w,g-w,o-w /builddir/build/BUILD/python-scikit-learn-1.6.0-build + /usr/bin/rm -rf /builddir/build/BUILD/python-scikit-learn-1.6.0-build + /usr/bin/mkdir -p /builddir/build/BUILD/python-scikit-learn-1.6.0-build + /usr/bin/mkdir -p /builddir/build/BUILD/python-scikit-learn-1.6.0-build/SPECPARTS + RPM_EC=0 ++ jobs -p + exit 0 Executing(%prep): /bin/sh -e /var/tmp/rpm-tmp.Ir5eXN + umask 022 + cd /builddir/build/BUILD/python-scikit-learn-1.6.0-build + cd /builddir/build/BUILD/python-scikit-learn-1.6.0-build + rm -rf scikit_learn-1.6.0 + /usr/lib/rpm/rpmuncompress -x /builddir/build/SOURCES/scikit_learn-1.6.0.tar.gz + STATUS=0 + '[' 0 -ne 0 ']' + cd scikit_learn-1.6.0 + /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.2OOvty + umask 022 + cd /builddir/build/BUILD/python-scikit-learn-1.6.0-build + cd scikit_learn-1.6.0 + 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-1.6.0-build/scikit_learn-1.6.0/.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-1.6.0-build/scikit_learn-1.6.0/.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-1.6.0-build/scikit_learn-1.6.0/pyproject-wheeldir --output /builddir/build/BUILD/python-scikit-learn-1.6.0-build/python-scikit-learn-1.6.0-1.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-1.6.0-build/python-scikit-learn-1.6.0-1.fc42.x86_64-pyproject-buildrequires + rm -rfv '*.dist-info/' + RPM_EC=0 ++ jobs -p + exit 0 Wrote: /builddir/build/SRPMS/python-scikit-learn-1.6.0-1.fc42.buildreqs.nosrc.rpm INFO: Going to install missing dynamic buildrequires Updating and loading repositories: fedora 100% | 787.7 KiB/s | 26.0 KiB | 00m00s Additional repo http_kojipkgs_fedorapr 100% | 66.0 KiB/s | 3.8 KiB | 00m00s Copr repository 100% | 37.1 KiB/s | 2.2 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-1.16.3-1.fc42.noarch" is already installed. Package "python3-devel-3.13.1-2.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-8.3.4-1.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 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 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 1:2.2.0-3.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 40.8 MiB python3-pip noarch 24.3.1-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 11.3 MiB python3-scipy x86_64 1.14.1-2.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 66.8 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 1.6.1-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 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 0.3.28-2.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 106.6 KiB openblas-openmp x86_64 0.3.28-2.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 39.3 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 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 319.9 KiB python3-idna noarch 3.10-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 628.0 KiB python3-numpy-f2py x86_64 1:2.2.0-3.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 2.0 MiB python3-platformdirs noarch 4.2.2-2.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 168.6 KiB python3-pooch noarch 1.8.2-3.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 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.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 485.9 KiB python3-urllib3 noarch 2.2.3-3.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.0 MiB vim-filesystem noarch 2:9.1.919-1.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, 208 MiB extra will be used (install 208 MiB, remove 0 B). [ 1/25] python3-meson-python-0:0.17.1-1 100% | 1.0 MiB/s | 81.2 KiB | 00m00s [ 2/25] python3-pip-0:24.3.1-1.fc42.noa 100% | 22.9 MiB/s | 2.5 MiB | 00m00s [ 3/25] python3-cython-0:3.0.11-1.fc41. 100% | 17.6 MiB/s | 3.8 MiB | 00m00s [ 4/25] python3-numpy-f2py-1:2.2.0-3.fc 100% | 14.1 MiB/s | 448.4 KiB | 00m00s [ 5/25] python3-numpy-1:2.2.0-3.fc42.x8 100% | 28.9 MiB/s | 7.7 MiB | 00m00s [ 6/25] libgfortran-0:14.2.1-6.fc42.x86 100% | 23.5 MiB/s | 939.2 KiB | 00m00s [ 7/25] python3-pooch-0:1.8.2-3.fc41.no 100% | 6.2 MiB/s | 126.4 KiB | 00m00s [ 8/25] python3-platformdirs-0:4.2.2-2. 100% | 2.4 MiB/s | 41.0 KiB | 00m00s [ 9/25] flexiblas-netlib-0:3.4.4-3.fc41 100% | 28.7 MiB/s | 3.2 MiB | 00m00s [10/25] python3-requests-0:2.32.3-3.fc4 100% | 7.7 MiB/s | 149.0 KiB | 00m00s [11/25] patchelf-0:0.18.0-5.fc41.x86_64 100% | 6.4 MiB/s | 125.5 KiB | 00m00s [12/25] python3-pyproject-metadata-0:0. 100% | 1.7 MiB/s | 31.3 KiB | 00m00s [13/25] ninja-build-0:1.12.1-3.fc41.x86 100% | 9.3 MiB/s | 180.0 KiB | 00m00s [14/25] meson-0:1.6.1-1.fc42.noarch 100% | 28.4 MiB/s | 2.1 MiB | 00m00s [15/25] flexiblas-0:3.4.4-3.fc41.x86_64 100% | 1.5 MiB/s | 25.3 KiB | 00m00s [16/25] flexiblas-openblas-openmp-0:3.4 100% | 958.1 KiB/s | 17.2 KiB | 00m00s [17/25] libquadmath-0:14.2.1-6.fc42.x86 100% | 10.5 MiB/s | 204.3 KiB | 00m00s [18/25] python3-charset-normalizer-0:3. 100% | 5.2 MiB/s | 101.4 KiB | 00m00s [19/25] python3-idna-0:3.10-1.fc42.noar 100% | 5.2 MiB/s | 111.7 KiB | 00m00s [20/25] python3-urllib3-0:2.2.3-3.fc42. 100% | 12.6 MiB/s | 259.0 KiB | 00m00s [21/25] emacs-filesystem-1:30.0-3.fc41. 100% | 396.8 KiB/s | 7.1 KiB | 00m00s [22/25] vim-filesystem-2:9.1.919-1.fc42 100% | 966.8 KiB/s | 16.4 KiB | 00m00s [23/25] openblas-0:0.3.28-2.fc42.x86_64 100% | 2.2 MiB/s | 41.0 KiB | 00m00s [24/25] openblas-openmp-0:0.3.28-2.fc42 100% | 34.9 MiB/s | 5.0 MiB | 00m00s [25/25] python3-scipy-0:1.14.1-2.fc42.x 100% | 27.1 MiB/s | 16.5 MiB | 00m01s -------------------------------------------------------------------------------- [25/25] Total 100% | 54.4 MiB/s | 43.6 MiB | 00m01s Running transaction [ 1/27] Verify package files 100% | 166.0 B/s | 25.0 B | 00m00s [ 2/27] Prepare transaction 100% | 297.0 B/s | 25.0 B | 00m00s [ 3/27] Installing libgfortran-0:14.2.1 100% | 234.2 MiB/s | 3.0 MiB | 00m00s [ 4/27] Installing python3-idna-0:3.10- 100% | 154.9 MiB/s | 634.3 KiB | 00m00s [ 5/27] Installing python3-urllib3-0:2. 100% | 100.2 MiB/s | 1.0 MiB | 00m00s [ 6/27] Installing openblas-0:0.3.28-2. 100% | 105.8 MiB/s | 108.3 KiB | 00m00s [ 7/27] Installing openblas-openmp-0:0. 100% | 392.9 MiB/s | 39.3 MiB | 00m00s [ 8/27] Installing vim-filesystem-2:9.1 100% | 2.3 MiB/s | 4.7 KiB | 00m00s [ 9/27] Installing emacs-filesystem-1:3 100% | 0.0 B/s | 544.0 B | 00m00s [10/27] Installing ninja-build-0:1.12.1 100% | 85.1 MiB/s | 435.8 KiB | 00m00s [11/27] Installing meson-0:1.6.1-1.fc42 100% | 167.2 MiB/s | 11.5 MiB | 00m00s [12/27] Installing python3-charset-norm 100% | 80.5 MiB/s | 329.8 KiB | 00m00s [13/27] Installing python3-requests-0:2 100% | 97.3 MiB/s | 498.0 KiB | 00m00s [14/27] Installing libquadmath-0:14.2.1 100% | 159.8 MiB/s | 327.2 KiB | 00m00s [15/27] Installing flexiblas-0:3.4.4-3. 100% | 48.5 MiB/s | 49.7 KiB | 00m00s [16/27] Installing flexiblas-openblas-o 100% | 43.1 MiB/s | 44.1 KiB | 00m00s [17/27] Installing flexiblas-netlib-0:3 100% | 288.2 MiB/s | 10.7 MiB | 00m00s [18/27] Installing python3-numpy-f2py-1 100% | 79.5 MiB/s | 2.1 MiB | 00m00s [19/27] Installing python3-numpy-1:2.2. 100% | 209.6 MiB/s | 41.1 MiB | 00m00s [20/27] Installing python3-pyproject-me 100% | 46.4 MiB/s | 95.0 KiB | 00m00s [21/27] Installing patchelf-0:0.18.0-5. 100% | 92.9 MiB/s | 285.4 KiB | 00m00s [22/27] Installing python3-platformdirs 100% | 57.0 MiB/s | 175.0 KiB | 00m00s [23/27] Installing python3-pooch-0:1.8. 100% | 62.5 MiB/s | 640.5 KiB | 00m00s [24/27] Installing python3-scipy-0:1.14 100% | 213.2 MiB/s | 67.1 MiB | 00m00s [25/27] Installing python3-meson-python 100% | 30.8 MiB/s | 283.7 KiB | 00m00s [26/27] Installing python3-pip-0:24.3.1 100% | 104.6 MiB/s | 11.6 MiB | 00m00s [27/27] Installing python3-cython-0:3.0 100% | 103.3 MiB/s | 18.3 MiB | 00m00s Warning: skipped OpenPGP checks for 25 packages from repository: http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch Complete! Building target platforms: x86_64 Building for target x86_64 setting SOURCE_DATE_EPOCH=1734566400 Executing(%generate_buildrequires): /bin/sh -e /var/tmp/rpm-tmp.pCq2sK + umask 022 + cd /builddir/build/BUILD/python-scikit-learn-1.6.0-build + cd scikit_learn-1.6.0 + 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-1.6.0-build/scikit_learn-1.6.0/.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-1.6.0-build/scikit_learn-1.6.0/.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-1.6.0-build/scikit_learn-1.6.0/pyproject-wheeldir --output /builddir/build/BUILD/python-scikit-learn-1.6.0-build/python-scikit-learn-1.6.0-1.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 2.2.0) 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 2.2.0) 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>=0.17.1 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: sphinx-gallery>=0.17.1 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 towncrier>=24.8.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: towncrier>=24.8.0 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>=0.5.1 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: ruff>=0.5.1 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-1.6.0-build/python-scikit-learn-1.6.0-1.fc42.x86_64-pyproject-buildrequires + rm -rfv '*.dist-info/' + RPM_EC=0 ++ jobs -p + exit 0 Wrote: /builddir/build/SRPMS/python-scikit-learn-1.6.0-1.fc42.buildreqs.nosrc.rpm INFO: Going to install missing dynamic buildrequires Updating and loading repositories: fedora 100% | 722.1 KiB/s | 26.0 KiB | 00m00s Copr repository 100% | 63.3 KiB/s | 2.2 KiB | 00m00s Additional repo http_kojipkgs_fedorapr 100% | 70.9 KiB/s | 3.8 KiB | 00m00s Repositories loaded. Package "gcc-14.2.1-6.fc42.x86_64" is already installed.Nothing to do. Package "gcc-c++-14.2.1-6.fc42.x86_64" is already installed. Package "pyproject-rpm-macros-1.16.3-1.fc42.noarch" is already installed. Package "python3-devel-3.13.1-2.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-1:2.2.0-3.fc42.x86_64" is already installed. Package "python3-numpy-1:2.2.0-3.fc42.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-8.3.4-1.fc42.noarch" is already installed. Package "python3-scipy-1.14.1-2.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. Building target platforms: x86_64 Building for target x86_64 setting SOURCE_DATE_EPOCH=1734566400 Executing(%generate_buildrequires): /bin/sh -e /var/tmp/rpm-tmp.TNCbjn + umask 022 + cd /builddir/build/BUILD/python-scikit-learn-1.6.0-build + cd scikit_learn-1.6.0 + 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-1.6.0-build/scikit_learn-1.6.0/.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-1.6.0-build/scikit_learn-1.6.0/.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-1.6.0-build/scikit_learn-1.6.0/pyproject-wheeldir --output /builddir/build/BUILD/python-scikit-learn-1.6.0-build/python-scikit-learn-1.6.0-1.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 2.2.0) 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 2.2.0) 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>=0.17.1 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: sphinx-gallery>=0.17.1 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 towncrier>=24.8.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: towncrier>=24.8.0 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>=0.5.1 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: ruff>=0.5.1 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-1.6.0-build/python-scikit-learn-1.6.0-1.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.TEzpVf + umask 022 + cd /builddir/build/BUILD/python-scikit-learn-1.6.0-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-1.6.0 + mkdir -p /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/.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-1.6.0-build/scikit_learn-1.6.0/.pyproject-builddir + /usr/bin/python3 -Bs /usr/lib/rpm/redhat/pyproject_wheel.py /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/pyproject-wheeldir Processing /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0 Preparing metadata (pyproject.toml): started Running command Preparing metadata (pyproject.toml) + meson setup /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0 /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/.mesonpy-yoipo8ow -Dbuildtype=release -Db_ndebug=if-release -Db_vscrt=md --native-file=/builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/.mesonpy-yoipo8ow/meson-python-native-file.ini The Meson build system Version: 1.6.1 Source dir: /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0 Build dir: /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/.mesonpy-yoipo8ow Build type: native build Project name: scikit-learn Project version: 1.6.0 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 1.6.0 User defined options Native files: /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/.mesonpy-yoipo8ow/meson-python-native-file.ini b_ndebug : if-release b_vscrt : md buildtype : release Found ninja-1.12.1 at /usr/bin/ninja + /usr/bin/ninja [1/251] Copying file sklearn/utils/__init__.py [2/251] Copying file sklearn/__init__.py [3/251] Copying file sklearn/_loss/_loss.pxd [4/251] 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a custom command [19/251] Copying file sklearn/metrics/_pairwise_distances_reduction/_classmode.pxd [20/251] Generating sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors_pxd with a custom command [21/251] Generating sklearn/metrics/_pairwise_distances_reduction/_argkmin_pxd with a custom command [22/251] Copying file sklearn/linear_model/__init__.py [23/251] Generating sklearn/neighbors/_binary_tree_pxi with a custom command [24/251] Copying file sklearn/neighbors/__init__.py [25/251] Generating sklearn/_loss/_loss_pyx with a custom command [26/251] Copying file sklearn/neighbors/_partition_nodes.pxd [27/251] Generating sklearn/utils/_seq_dataset_pyx with a custom command [28/251] Generating sklearn/metrics/_dist_metrics_pyx with a custom command [29/251] Generating sklearn/utils/_weight_vector_pyx with a custom command [30/251] Generating sklearn/metrics/_pairwise_distances_reduction/_datasets_pair_pyx with a custom command [31/251] Generating 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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 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'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 [97/251] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/preprocessing/_csr_polynomial_expansion.pyx [98/251] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/neighbors/_quad_tree.pyx [99/251] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/svm/_newrand.pyx [100/251] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/preprocessing/_target_encoder_fast.pyx [101/251] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/svm/_libsvm.pyx [102/251] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/svm/_libsvm_sparse.pyx [103/251] Compiling C++ object sklearn/svm/libliblinear-skl.a.p/src_liblinear_tron.cpp.o [104/251] Compiling C++ object sklearn/svm/liblibsvm-skl.a.p/src_libsvm_libsvm_template.cpp.o [105/251] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/svm/_liblinear.pyx [106/251] Compiling C++ object sklearn/svm/libliblinear-skl.a.p/src_liblinear_linear.cpp.o [107/251] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/tree/_splitter.pyx [108/251] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/tree/_partitioner.pyx [109/251] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/tree/_tree.pyx [110/251] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/tree/_utils.pyx [111/251] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/tree/_criterion.pyx [112/251] 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 [113/251] Compiling C object sklearn/_isotonic.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn__isotonic.pyx.c.o [114/251] Compiling C object sklearn/utils/_cython_blas.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_utils__cython_blas.pyx.c.o [115/251] Compiling C object sklearn/utils/sparsefuncs_fast.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_utils_sparsefuncs_fast.pyx.c.o [116/251] Compiling C object sklearn/utils/murmurhash.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_utils_murmurhash.pyx.c.o [117/251] Compiling C++ object sklearn/utils/murmurhash.cpython-313-x86_64-linux-gnu.so.p/src_MurmurHash3.cpp.o [118/251] Compiling C object sklearn/utils/arrayfuncs.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_utils_arrayfuncs.pyx.c.o [119/251] Compiling C object sklearn/utils/_openmp_helpers.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_utils__openmp_helpers.pyx.c.o [120/251] Compiling C++ object sklearn/utils/_fast_dict.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_utils__fast_dict.pyx.cpp.o [121/251] Compiling C object sklearn/utils/_random.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_utils__random.pyx.c.o [122/251] Compiling C object sklearn/utils/_heap.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_utils__heap.pyx.c.o [123/251] Compiling C object sklearn/utils/_sorting.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_utils__sorting.pyx.c.o [124/251] Compiling C object sklearn/utils/_typedefs.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_utils__typedefs.pyx.c.o [125/251] Compiling C++ object sklearn/utils/_vector_sentinel.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_utils__vector_sentinel.pyx.cpp.o [126/251] Compiling C object sklearn/utils/_isfinite.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_utils__isfinite.pyx.c.o [127/251] Compiling C object sklearn/utils/_seq_dataset.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_utils__seq_dataset.pyx.c.o [128/251] Compiling C object sklearn/utils/_weight_vector.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_utils__weight_vector.pyx.c.o [129/251] Compiling C object sklearn/metrics/_pairwise_fast.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_metrics__pairwise_fast.pyx.c.o [130/251] 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:29605:29: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 29605 | __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:30390:27: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 30390 | __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:49229:29: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 49229 | __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:50014:27: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 50014 | __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)); | ^ [131/251] 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 [132/251] Compiling C object sklearn/_loss/_loss.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn__loss__loss.pyx.c.o [133/251] 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 [134/251] 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 [135/251] 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 [136/251] 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 [137/251] 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 [138/251] 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 [139/251] 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 [140/251] Compiling C++ object sklearn/cluster/_dbscan_inner.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_cluster__dbscan_inner.pyx.cpp.o [141/251] Compiling C++ object sklearn/cluster/_hierarchical_fast.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_cluster__hierarchical_fast.pyx.cpp.o [142/251] 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 [143/251] 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 [144/251] 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 [145/251] Compiling C object sklearn/cluster/_hdbscan/_linkage.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_cluster__hdbscan__linkage.pyx.c.o [146/251] 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 [147/251] Compiling C object sklearn/cluster/_hdbscan/_reachability.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_cluster__hdbscan__reachability.pyx.c.o [148/251] Compiling C object sklearn/cluster/_hdbscan/_tree.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_cluster__hdbscan__tree.pyx.c.o [149/251] 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 [150/251] Compiling C object sklearn/decomposition/_cdnmf_fast.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_decomposition__cdnmf_fast.pyx.c.o [151/251] 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; | ^~~~~~~~~~ [152/251] 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 [153/251] Compiling C object sklearn/ensemble/_gradient_boosting.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_ensemble__gradient_boosting.pyx.c.o [154/251] 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 [155/251] 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 [156/251] 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 [157/251] 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 [158/251] 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 [159/251] 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 [160/251] 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 [161/251] 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 [162/251] 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 [163/251] Compiling C object sklearn/manifold/_utils.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_manifold__utils.pyx.c.o [164/251] 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 [165/251] 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 [166/251] Compiling C++ object sklearn/neighbors/_partition_nodes.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_neighbors__partition_nodes.pyx.cpp.o [167/251] Compiling C object sklearn/neighbors/_quad_tree.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_neighbors__quad_tree.pyx.c.o [168/251] 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:32767:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 32767 | __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:40182:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 40182 | __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:40735:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 40735 | __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:41641:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 41641 | __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:42252:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 42252 | __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:42655:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 42655 | __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:42665:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 42665 | __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:46580:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 46580 | __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:54004:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 54004 | __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:54557:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 54557 | __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:55463:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 55463 | __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:56074:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 56074 | __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:56477:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 56477 | __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:56487:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 56487 | __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:58364:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 58364 | __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:58387:20: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 58387 | __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:59739:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 59739 | __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:59762:20: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 59762 | __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:55786:19: sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:58113:52: warning: ‘__pyx_v_sample_weight’ may be used uninitialized [-Wmaybe-uninitialized] 58113 | __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:55363:55: note: ‘__pyx_v_sample_weight’ was declared here 55363 | __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:41964:19: sklearn/neighbors/_ball_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:58172:52: warning: ‘__pyx_v_sample_weight’ may be used uninitialized [-Wmaybe-uninitialized] 58172 | __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:41541:55: note: ‘__pyx_v_sample_weight’ was declared here 41541 | __pyx_t_7sklearn_5utils_9_typedefs_float64_t const *__pyx_v_sample_weight; | ^~~~~~~~~~~~~~~~~~~~~ [169/251] 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:32635:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 32635 | __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:40050:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 40050 | __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:40603:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 40603 | __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:41509:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 41509 | __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:42120:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 42120 | __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:42523:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 42523 | __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:42533:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 42533 | __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:46448:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 46448 | __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:53872:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 53872 | __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:54425:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 54425 | __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:55331:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 55331 | __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:55942:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 55942 | __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:56345:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 56345 | __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:56355:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 56355 | __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:58229:24: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 58229 | __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:58241:24: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 58241 | __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:60038:24: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 60038 | __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:60050:24: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 60050 | __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:55654:19: sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:57981:52: warning: ‘__pyx_v_sample_weight’ may be used uninitialized [-Wmaybe-uninitialized] 57981 | __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:55231:55: note: ‘__pyx_v_sample_weight’ was declared here 55231 | __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:41832:19: sklearn/neighbors/_kd_tree.cpython-313-x86_64-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:58040:52: warning: ‘__pyx_v_sample_weight’ may be used uninitialized [-Wmaybe-uninitialized] 58040 | __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:41409:55: note: ‘__pyx_v_sample_weight’ was declared here 41409 | __pyx_t_7sklearn_5utils_9_typedefs_float64_t const *__pyx_v_sample_weight; | ^~~~~~~~~~~~~~~~~~~~~ [170/251] Compiling C++ object sklearn/svm/_newrand.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_svm__newrand.pyx.cpp.o [171/251] Linking static target sklearn/svm/liblibsvm-skl.a [172/251] 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 [173/251] Compiling C object sklearn/svm/_libsvm_sparse.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_svm__libsvm_sparse.pyx.c.o [174/251] Linking static target sklearn/svm/libliblinear-skl.a [175/251] Compiling C object sklearn/svm/_libsvm.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_svm__libsvm.pyx.c.o [176/251] 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 [177/251] Compiling C object sklearn/svm/_liblinear.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_svm__liblinear.pyx.c.o [178/251] Compiling C object sklearn/tree/_splitter.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_tree__splitter.pyx.c.o [179/251] Compiling C object sklearn/tree/_partitioner.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_tree__partitioner.pyx.c.o [180/251] 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:44004:44: /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:43134:45: note: ‘__pyx_v_pruned_branch_node_idx’ was declared here 43134 | __pyx_t_7sklearn_5utils_9_typedefs_intp_t __pyx_v_pruned_branch_node_idx; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [181/251] Generating sklearn/write_built_with_meson_file with a custom command [182/251] Compiling C object sklearn/tree/_criterion.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_tree__criterion.pyx.c.o [183/251] Compiling C object sklearn/tree/_utils.cpython-313-x86_64-linux-gnu.so.p/meson-generated_sklearn_tree__utils.pyx.c.o [184/251] Linking target sklearn/__check_build/_check_build.cpython-313-x86_64-linux-gnu.so [185/251] Linking target sklearn/_isotonic.cpython-313-x86_64-linux-gnu.so [186/251] Linking target sklearn/utils/_cython_blas.cpython-313-x86_64-linux-gnu.so [187/251] Linking target sklearn/utils/sparsefuncs_fast.cpython-313-x86_64-linux-gnu.so [188/251] Linking target 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/builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/utils/tests/test_multiclass.py [868/889] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/utils/tests/test_murmurhash.py [869/889] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/utils/tests/test_optimize.py [870/889] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/utils/tests/test_parallel.py [871/889] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/utils/tests/test_param_validation.py [872/889] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/utils/tests/test_plotting.py [873/889] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/utils/tests/test_pprint.py [874/889] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/utils/tests/test_random.py [875/889] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/utils/tests/test_response.py [876/889] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/utils/tests/test_seq_dataset.py [877/889] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/utils/tests/test_set_output.py [878/889] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/utils/tests/test_shortest_path.py [879/889] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/utils/tests/test_show_versions.py [880/889] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/utils/tests/test_sparsefuncs.py [881/889] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/utils/tests/test_stats.py [882/889] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/utils/tests/test_tags.py [883/889] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/utils/tests/test_testing.py [884/889] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/utils/tests/test_typedefs.py [885/889] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/utils/tests/test_unique.py [886/889] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/utils/tests/test_user_interface.py [887/889] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/utils/tests/test_utils.py [888/889] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/utils/tests/test_validation.py [889/889] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/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-1.6.0-cp313-cp313-linux_x86_64.whl size=49765479 sha256=516beb8a9fb303e715dcede42c8615024494acd9d27c622a0a0102a16dbc8652 Stored in directory: /builddir/.cache/pip/wheels/44/51/a6/e9c077654a1a2fc1bf8a945e2a32b44b20ab40a973f1dea972 Successfully built scikit-learn + RPM_EC=0 ++ jobs -p + exit 0 Executing(%install): /bin/sh -e /var/tmp/rpm-tmp.Ikxe7I + umask 022 + cd /builddir/build/BUILD/python-scikit-learn-1.6.0-build + '[' /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT '!=' / ']' + rm -rf /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT ++ dirname /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT + mkdir -p /builddir/build/BUILD/python-scikit-learn-1.6.0-build + mkdir /builddir/build/BUILD/python-scikit-learn-1.6.0-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-1.6.0 ++ xargs basename --multiple ++ ls /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/pyproject-wheeldir/scikit_learn-1.6.0-cp313-cp313-linux_x86_64.whl ++ sed -E 's/([^-]+)-([^-]+)-.+\.whl/\1==\2/' + specifier=scikit_learn==1.6.0 + '[' -z scikit_learn==1.6.0 ']' + TMPDIR=/builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/.pyproject-builddir + /usr/bin/python3 -m pip install --root /builddir/build/BUILD/python-scikit-learn-1.6.0-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-1.6.0-build/scikit_learn-1.6.0/pyproject-wheeldir scikit_learn==1.6.0 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-1.6.0-build/scikit_learn-1.6.0/pyproject-wheeldir Processing ./pyproject-wheeldir/scikit_learn-1.6.0-cp313-cp313-linux_x86_64.whl Installing collected packages: scikit_learn Successfully installed scikit_learn-1.6.0 + '[' -d /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/bin ']' + rm -f /builddir/build/BUILD/python-scikit-learn-1.6.0-build/python-scikit-learn-1.6.0-1.fc42.x86_64-pyproject-ghost-distinfo + site_dirs=() + '[' -d /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib/python3.13/site-packages ']' + '[' /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages '!=' /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib/python3.13/site-packages ']' + '[' -d /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages ']' + site_dirs+=("/usr/lib64/python3.13/site-packages") + for site_dir in ${site_dirs[@]} + for distinfo in /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT$site_dir/*.dist-info + echo '%ghost /usr/lib64/python3.13/site-packages/scikit_learn-1.6.0.dist-info' + sed -i s/pip/rpm/ /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/scikit_learn-1.6.0.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-1.6.0-build/BUILDROOT --record /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/scikit_learn-1.6.0.dist-info/RECORD --output /builddir/build/BUILD/python-scikit-learn-1.6.0-build/python-scikit-learn-1.6.0-1.fc42.x86_64-pyproject-record + rm -fv /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/scikit_learn-1.6.0.dist-info/RECORD removed '/builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/scikit_learn-1.6.0.dist-info/RECORD' + rm -fv /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/scikit_learn-1.6.0.dist-info/REQUESTED removed '/builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/scikit_learn-1.6.0.dist-info/REQUESTED' ++ wc -l /builddir/build/BUILD/python-scikit-learn-1.6.0-build/python-scikit-learn-1.6.0-1.fc42.x86_64-pyproject-ghost-distinfo ++ cut -f1 '-d ' + 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-1.6.0-build/python-scikit-learn-1.6.0-1.fc42.x86_64-pyproject-files --output-modules /builddir/build/BUILD/python-scikit-learn-1.6.0-build/python-scikit-learn-1.6.0-1.fc42.x86_64-pyproject-modules --buildroot /builddir/build/BUILD/python-scikit-learn-1.6.0-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-1.6.0-build/python-scikit-learn-1.6.0-1.fc42.x86_64-pyproject-record --prefix /usr sklearn + /usr/bin/find-debuginfo -j2 --strict-build-id -m -i --build-id-seed 1.6.0-1.fc42 --unique-debug-suffix -1.6.0-1.fc42.x86_64 --unique-debug-src-base python-scikit-learn-1.6.0-1.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-1.6.0-build/scikit_learn-1.6.0 find-debuginfo: starting Extracting debug info from 68 files DWARF-compressing 68 files sepdebugcrcfix: Updated 68 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-1.6.0-1.fc42.x86_64 cpio: .mesonpy-yoipo8ow/: Cannot stat: No such file or directory cpio: .mesonpy-yoipo8ow/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-yoipo8ow/sklearn/_isotonic.cpython-313-x86_64-linux-gnu.so.p/sklearn/_isotonic.pyx.c: Cannot stat: No such file or directory cpio: .mesonpy-yoipo8ow/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-yoipo8ow/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-yoipo8ow/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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/__pycache__/multioutput.cpython-313.pyc: rewriting with normalized contents /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/__pycache__/naive_bayes.cpython-313.pyc: rewriting with normalized contents /builddir/build/BUILD/python-scikit-learn-1.6.0-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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/__pycache__/pipeline.cpython-313.pyc: rewriting with normalized contents Scanned 243 directories and 2117 files, processed 817 inodes, 817 modified (494 replaced + 323 rewritten), 0 unsupported format, 0 errors Reading /builddir/build/BUILD/python-scikit-learn-1.6.0-build/SPECPARTS/rpm-debuginfo.specpart Executing(%check): /bin/sh -e /var/tmp/rpm-tmp.LAfXYC + umask 022 + cd /builddir/build/BUILD/python-scikit-learn-1.6.0-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 ~/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages ~/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0 + LT_SYS_LIBRARY_PATH=/usr/lib64: + export LT_SYS_LIBRARY_PATH + CC=gcc + export CC + CXX=g++ + export CXX + cd scikit_learn-1.6.0 + export PYTHONDONTWRITEBYTECODE=1 + PYTHONDONTWRITEBYTECODE=1 + export 'PYTEST_ADDOPTS=-p no:cacheprovider' + PYTEST_ADDOPTS='-p no:cacheprovider' + pushd /builddir/build/BUILD/python-scikit-learn-1.6.0-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 3.13.1, pytest-8.3.4, pluggy-1.5.0 rootdir: /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages collected 37604 items / 41 deselected / 1 skipped / 37563 selected sklearn/_loss/tests/test_link.py ....................... 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[100%] =============================== warnings summary =============================== sklearn/utils/_test_common/instance_generator.py:686 sklearn/utils/_test_common/instance_generator.py:686 sklearn/utils/_test_common/instance_generator.py:686 sklearn/utils/_test_common/instance_generator.py:686 sklearn/utils/_test_common/instance_generator.py:686 sklearn/utils/_test_common/instance_generator.py:686 sklearn/utils/_test_common/instance_generator.py:686 /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/_test_common/instance_generator.py:686: SkipTestWarning: Can't instantiate estimator FrozenEstimator warnings.warn(msg, SkipTestWarning) sklearn/utils/_test_common/instance_generator.py:686 sklearn/utils/_test_common/instance_generator.py:686 sklearn/utils/_test_common/instance_generator.py:686 sklearn/utils/_test_common/instance_generator.py:686 sklearn/utils/_test_common/instance_generator.py:686 sklearn/utils/_test_common/instance_generator.py:686 sklearn/utils/_test_common/instance_generator.py:686 sklearn/utils/_test_common/instance_generator.py:686 /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/_test_common/instance_generator.py:686: SkipTestWarning: Can't instantiate estimator SparseCoder warnings.warn(msg, SkipTestWarning) sklearn/utils/estimator_checks.py:369 /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:369: SkipTestWarning: Explicit SKIP via _skip_test tag for estimator ClassifierChain. warnings.warn( sklearn/utils/estimator_checks.py:361 /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:361: SkipTestWarning: Can't test estimator CountVectorizer which requires input of type InputTags(one_d_array=False, two_d_array=False, three_d_array=False, sparse=False, categorical=False, string=True, dict=False, positive_only=False, allow_nan=False, pairwise=False) warnings.warn( sklearn/utils/estimator_checks.py:361 /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:361: SkipTestWarning: Can't test estimator DictVectorizer which requires input of type InputTags(one_d_array=False, two_d_array=False, three_d_array=False, sparse=False, categorical=False, string=False, dict=True, positive_only=False, allow_nan=False, pairwise=False) warnings.warn( sklearn/utils/estimator_checks.py:361 /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:361: SkipTestWarning: Can't test estimator FeatureHasher which requires input of type InputTags(one_d_array=False, two_d_array=False, three_d_array=False, sparse=False, categorical=False, string=False, dict=True, positive_only=False, allow_nan=False, pairwise=False) warnings.warn( sklearn/utils/estimator_checks.py:361 /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:361: SkipTestWarning: Can't test estimator HashingVectorizer which requires input of type InputTags(one_d_array=False, two_d_array=False, three_d_array=False, sparse=False, categorical=False, string=True, dict=False, positive_only=False, allow_nan=False, pairwise=False) warnings.warn( sklearn/utils/estimator_checks.py:361 /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:361: SkipTestWarning: Can't test estimator IsotonicRegression which requires input of type InputTags(one_d_array=True, two_d_array=False, three_d_array=False, sparse=False, categorical=False, string=False, dict=False, positive_only=False, allow_nan=False, pairwise=False) warnings.warn( sklearn/utils/estimator_checks.py:361 /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:361: SkipTestWarning: Can't test estimator LabelBinarizer which requires input of type InputTags(one_d_array=False, two_d_array=False, three_d_array=False, sparse=False, categorical=False, string=False, dict=False, positive_only=False, allow_nan=False, pairwise=False) warnings.warn( sklearn/utils/estimator_checks.py:361 /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:361: SkipTestWarning: Can't test estimator LabelEncoder which requires input of type InputTags(one_d_array=False, two_d_array=False, three_d_array=False, sparse=False, categorical=False, string=False, dict=False, positive_only=False, allow_nan=False, pairwise=False) warnings.warn( sklearn/utils/estimator_checks.py:361 /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:361: SkipTestWarning: Can't test estimator MultiLabelBinarizer which requires input of type InputTags(one_d_array=False, two_d_array=False, three_d_array=False, sparse=False, categorical=False, string=False, dict=False, positive_only=False, allow_nan=False, pairwise=False) warnings.warn( sklearn/utils/estimator_checks.py:369 /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:369: SkipTestWarning: Explicit SKIP via _skip_test tag for estimator MultiOutputClassifier. warnings.warn( sklearn/utils/estimator_checks.py:361 /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:361: SkipTestWarning: Can't test estimator PatchExtractor which requires input of type InputTags(one_d_array=False, two_d_array=False, three_d_array=True, sparse=False, categorical=False, string=False, dict=False, positive_only=False, allow_nan=False, pairwise=False) warnings.warn( sklearn/utils/estimator_checks.py:361 /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:361: SkipTestWarning: Can't test estimator TfidfVectorizer which requires input of type InputTags(one_d_array=False, two_d_array=False, three_d_array=False, sparse=False, categorical=False, string=True, dict=False, positive_only=False, allow_nan=False, pairwise=False) warnings.warn( ../../../../../scikit_learn-1.6.0/sklearn/utils/_typedefs.pyx:21 /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/cluster/_affinity_propagation.py:50: UserWarning: All samples have mutually equal similarities. Returning arbitrary cluster center(s). warnings.warn( sklearn/cluster/tests/test_birch.py::test_birch_predict[float64-42] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/cluster/_birch.py:727: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neighbors/_base.py:248: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/cluster/_hdbscan/hdbscan.py:273: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/cluster/_agglomerative.py:596: 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=12390) 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 /builddir/build/BUILD/python-scikit-learn-1.6.0-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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/cluster/tests/test_spectral.py:298: 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/covariance/tests/test_graphical_lasso.py::test_graphical_lasso_n_iter[cd] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/covariance/_graph_lasso.py:140: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/covariance/_graph_lasso.py:140: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/covariance/_graph_lasso.py:140: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/covariance/_graph_lasso.py:192: 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-1.6.0-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:191: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/datasets/tests/test_base.py:241: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/datasets/tests/test_base.py:250: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/datasets/_openml.py:1030: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/datasets/tests/test_svmlight_format.py:287: 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_multioutput.py: 39 warnings sklearn/utils/tests/test_estimator_checks.py: 1 warning /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_stochastic_gradient.py:738: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit. warnings.warn( sklearn/decomposition/tests/test_nmf.py: 30 warnings /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/decomposition/_nmf.py:1741: ConvergenceWarning: Maximum number of iterations 200 reached. Increase it to improve convergence. warnings.warn( sklearn/decomposition/tests/test_nmf.py: 14 warnings /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/decomposition/_nmf.py:2327: ConvergenceWarning: Maximum number of iterations 200 reached. Increase it to improve convergence. warnings.warn( sklearn/decomposition/tests/test_nmf.py::test_nmf_fit_close[NMF-solver1] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/decomposition/_nmf.py:1741: ConvergenceWarning: Maximum number of iterations 600 reached. Increase it to improve convergence. warnings.warn( sklearn/decomposition/tests/test_nmf.py: 24 warnings /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/decomposition/_nmf.py:1594: 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(max_iter=500)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/decomposition/_nmf.py:1741: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/decomposition/_nmf.py:179: RuntimeWarning: divide by zero encountered in power sum_WH_beta = np.sum(WH**beta) 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/decomposition/_lda.py:923: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/ensemble/_bagging.py:1011: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/ensemble/_bagging.py:870: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/ensemble/_bagging.py:864: 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: 7 warnings sklearn/tree/tests/test_tree.py: 73 warnings sklearn/utils/tests/test_response.py: 1 warning /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/tree/_classes.py:1084: RuntimeWarning: divide by zero encountered in log return np.log(proba) sklearn/ensemble/tests/test_common.py: 8 warnings sklearn/linear_model/tests/test_common.py: 2 warnings sklearn/linear_model/tests/test_logistic.py: 6 warnings sklearn/tests/test_multioutput.py: 1 warning sklearn/tests/test_pipeline.py: 1 warning sklearn/utils/tests/test_estimator_checks.py: 2 warnings sklearn/utils/tests/test_estimator_html_repr.py: 1 warning /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_logistic.py:465: 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-1.6.0-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[RandomForestRegressor] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/ensemble/_forest.py:612: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/base.py:1389: 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 /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neural_network/_multilayer_perceptron.py:691: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (200) reached and the optimization hasn't converged yet. warnings.warn( sklearn/ensemble/tests/test_weight_boosting.py: 9 warnings sklearn/tests/test_common.py: 8 warnings /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/ensemble/_weight_boosting.py:605: RuntimeWarning: divide by zero encountered in log np.log(sample_weight) sklearn/ensemble/tests/test_weight_boosting.py::test_sample_weights_infinite /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/ensemble/_weight_boosting.py:604: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_split.py:805: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/feature_extraction/text.py:402: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/feature_extraction/text.py:547: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/feature_selection/_univariate_selection.py:111: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/feature_selection/_univariate_selection.py:112: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/feature_selection/_base.py:122: 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: 50 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 /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/svm/_base.py:1243: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/feature_selection/_variance_threshold.py:114: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/feature_selection/_variance_threshold.py:122: 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-1.6.0-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-1.6.0-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-1.6.0-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-1.6.0-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-1.6.0-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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/gaussian_process/_gpr.py:660: 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-1.6.0-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-1.6.0-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-1.6.0-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-1.6.0-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-1.6.0-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-1.6.0-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-1.6.0-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-1.6.0-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-1.6.0-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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/gaussian_process/_gpr.py:478: UserWarning: Predicted variances smaller than 0. Setting those variances to 0. warnings.warn( sklearn/impute/tests/test_common.py: 16 warnings sklearn/impute/tests/test_impute.py: 1 warning /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/impute/_base.py:635: 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: 4 warnings sklearn/impute/tests/test_impute.py: 14 warnings /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/impute/_base.py:635: 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: 11 warnings /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/impute/_base.py:635: 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: 16 warnings /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/impute/_base.py:635: 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: 32 warnings /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/impute/_iterative.py:895: ConvergenceWarning: [IterativeImputer] Early stopping criterion not reached. 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/impute/_base.py:635: 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_impute.py::test_iterative_imputer_min_max_value_remove_empty /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/impute/_base.py:635: UserWarning: Skipping features without any observed values: [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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/_chunking.py:172: 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_multioutput.py: 1 warning /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_stochastic_gradient.py:1603: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_sag.py:348: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge warnings.warn( sklearn/linear_model/tests/test_common.py: 14 warnings /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/validation.py:1408: 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(). y = column_or_1d(y, warn=True) sklearn/linear_model/tests/test_common.py::test_linear_model_regressor_coef_shape[2-ElasticNetCV] sklearn/linear_model/tests/test_common.py::test_linear_model_regressor_coef_shape[2-LassoCV] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:1659: 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(). y = column_or_1d(y, warn=True) sklearn/linear_model/tests/test_coordinate_descent.py::test_enet_nonfinite_params /usr/lib64/python3.13/site-packages/numpy/_core/_methods.py:135: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_base.py:311: RuntimeWarning: invalid value encountered in matmul intercept_ = y_offset - X_offset @ coef_ sklearn/linear_model/tests/test_coordinate_descent.py::test_lasso_alpha_warning /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:695: 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_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] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_huber.py:343: 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-1.6.0-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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_ridge.py:254: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_ridge.py:252: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_ridge.py:252: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_ridge.py:252: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_regression.py:1266: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_search.py:1107: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_ridge.py:215: 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 /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_split.py:805: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_ridge.py:252: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_ridge.py:252: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_ridge.py:358: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:656: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/manifold/_isomap.py:384: 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: 18 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/manifold/_isomap.py:384: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/manifold/_isomap.py:384: 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: 1 warning sklearn/metrics/tests/test_common.py: 76 warnings /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:1565: 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: 1 warning sklearn/metrics/tests/test_common.py: 25 warnings /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:1565: 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: 1 warning sklearn/metrics/tests/test_common.py: 75 warnings /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:1565: 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] sklearn/metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[precision_score] sklearn/metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[precision_score] sklearn/metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[precision_score] sklearn/metrics/tests/test_common.py::test_no_averaging_labels sklearn/metrics/tests/test_common.py::test_no_averaging_labels /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:1565: 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] sklearn/metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[recall_score] sklearn/metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[recall_score] sklearn/metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[recall_score] sklearn/metrics/tests/test_common.py::test_no_averaging_labels sklearn/metrics/tests/test_common.py::test_no_averaging_labels /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:1565: 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: 3 warnings sklearn/metrics/tests/test_common.py: 9 warnings /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:1565: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:407: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:2067: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:2074: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/_param_validation.py:216: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:2524: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:1618: 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 sklearn/utils/tests/test_estimator_checks.py: 2 warnings /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/_array_api.py:392: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_ranking.py:2022: 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::test_averaging_multilabel_all_zeroes[f0.5_score] sklearn/metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[f1_score] sklearn/metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[f2_score] sklearn/metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[samples_f0.5_score] sklearn/metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[samples_f1_score] sklearn/metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[samples_f2_score] sklearn/metrics/tests/test_score_objects.py::test_classification_scorer_sample_weight sklearn/metrics/tests/test_score_objects.py::test_classification_scorer_sample_weight sklearn/metrics/tests/test_score_objects.py::test_classification_scorer_sample_weight /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:1565: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in samples with no true nor predicted labels. Use `zero_division` parameter to control this behavior. _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result)) sklearn/metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[jaccard_score] sklearn/metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[jaccard_score] sklearn/metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[jaccard_score] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:1565: UndefinedMetricWarning: Jaccard is ill-defined and being set to 0.0 in labels with no true or predicted samples. Use `zero_division` parameter to control this behavior. _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result)) sklearn/metrics/tests/test_common.py: 25 warnings /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:1565: UndefinedMetricWarning: Jaccard is ill-defined and being set to 0.0 due to no true or predicted samples. Use `zero_division` parameter to control this behavior. _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result)) sklearn/metrics/tests/test_common.py: 2 warnings sklearn/metrics/tests/test_score_objects.py: 3 warnings sklearn/tests/test_multioutput.py: 6 warnings /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:1565: 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/metrics/tests/test_common.py: 27 warnings sklearn/metrics/tests/test_score_objects.py: 4 warnings /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:1565: 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_common.py::test_averaging_multilabel_all_zeroes[recall_score] sklearn/metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[samples_recall_score] sklearn/metrics/tests/test_score_objects.py::test_classification_scorer_sample_weight sklearn/metrics/tests/test_score_objects.py::test_classification_scorer_sample_weight sklearn/metrics/tests/test_score_objects.py::test_classification_scorer_sample_weight sklearn/metrics/tests/test_score_objects.py::test_classification_scorer_sample_weight /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_classification.py:1565: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in samples with no true 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_ranking.py:1027: 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-1.6.0-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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_regression.py:930: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_regression.py:930: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/mixture/_bayesian_mixture.py:810: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/base.py:1389: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/mixture/_base.py:269: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_search.py:317: 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: 8 warnings /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_search.py:317: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_search.py:317: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_search.py:1107: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_search.py:1107: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_stochastic_gradient.py:1383: RuntimeWarning: divide by zero encountered in log return np.log(self.predict_proba(X)) 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_search.py:317: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_split.py:805: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_split.py:805: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_split.py:805: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_split.py:1023: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_split.py:1023: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_split.py:1023: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_search.py:317: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_search.py:317: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_search.py:317: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_split.py:877: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_validation.py:1379: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_validation.py:1379: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_split.py:805: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_validation.py:1379: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_validation.py:1379: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_validation.py:960: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_validation.py", line 949, 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neighbors/_lof.py:282: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neighbors/_lof.py:282: 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_n_features_in_after_fitting] 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] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neighbors/_lof.py:282: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neighbors/_lof.py:282: 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_nca.py::test_callback /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neighbors/_nca.py:333: ConvergenceWarning: [NeighborhoodComponentsAnalysis] NCA did not converge: STOP: TOTAL NO. of ITERATIONS REACHED LIMIT warn( sklearn/neighbors/tests/test_nearest_centroid.py::test_features_zero_var sklearn/neighbors/tests/test_nearest_centroid.py::test_error_zero_variances[array] sklearn/neighbors/tests/test_nearest_centroid.py::test_error_zero_variances[csr_matrix] sklearn/neighbors/tests/test_nearest_centroid.py::test_error_zero_variances[csr_array] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neighbors/_nearest_centroid.py:244: UserWarning: self.within_class_std_dev_ has at least 1 zero standard deviation.Inputs within the same classes for at least 1 feature are identical. warnings.warn( sklearn/neighbors/tests/test_neighbors.py: 185 warnings sklearn/tests/test_common.py: 48 warnings /usr/lib64/python3.13/site-packages/numpy/_core/numeric.py:442: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neighbors/_classification.py:874: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neighbors/_base.py:598: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neighbors/_unsupervised.py:179: 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[float64-42-yule] sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[float64-42-yule] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/pairwise.py:2466: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neighbors/_classification.py:864: 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[float64-42-dice] sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[float64-42-dice] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/pairwise.py:2466: DataConversionWarning: Data was converted to boolean for metric dice warnings.warn(msg, DataConversionWarning) sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[float64-42-jaccard] sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[float64-42-jaccard] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/pairwise.py:2466: DataConversionWarning: Data was converted to boolean for metric jaccard warnings.warn(msg, DataConversionWarning) sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[float64-42-rogerstanimoto] sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[float64-42-rogerstanimoto] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/pairwise.py:2466: DataConversionWarning: Data was converted to boolean for metric rogerstanimoto warnings.warn(msg, DataConversionWarning) sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[float64-42-russellrao] sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[float64-42-russellrao] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/pairwise.py:2466: DataConversionWarning: Data was converted to boolean for metric russellrao warnings.warn(msg, DataConversionWarning) sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[float64-42-sokalmichener] sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[float64-42-sokalmichener] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/pairwise.py:2466: DataConversionWarning: Data was converted to boolean for metric sokalmichener warnings.warn(msg, DataConversionWarning) sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[float64-42-sokalsneath] sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[float64-42-sokalsneath] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/pairwise.py:2466: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/neighbors/_base.py:668: 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-1.6.0-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/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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/extmath.py:1101: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/extmath.py:1106: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/extmath.py:1126: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_data.py:2824: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_data.py:2824: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_data.py:2824: 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_impl.py:1620: RuntimeWarning: All-NaN slice encountered return fnb._ureduce(a, sklearn/preprocessing/tests/test_discretization.py::test_fit_transform[quantile-expected5-sample_weight5] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_discretization.py:306: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_discretization.py:306: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_discretization.py:306: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_discretization.py:306: 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/preprocessing/tests/test_discretization.py::test_redundant_bins[kmeans-expected_bin_edges1] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/base.py:1389: 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/preprocessing/tests/test_encoders.py::test_one_hot_encoder_handle_unknown[warn] sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_inverse[None-False-warn] sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_inverse[None-True-warn] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_encoders.py:246: UserWarning: Found unknown categories in columns [0, 1] during transform. These unknown categories will be encoded as all zeros warnings.warn( sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_handle_unknown_strings[warn] sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_specified_categories[object-warn] sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_specified_categories[numeric-warn] sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_specified_categories[object-string-warn] sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_specified_categories[object-string-none-warn] sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_specified_categories[object-string-nan-warn] sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_specified_categories[object-None-and-nan-warn] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_encoders.py:246: UserWarning: Found unknown categories in columns [0] during transform. These unknown categories will be encoded as all zeros warnings.warn( sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_inverse[None-False-warn] sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_inverse[None-True-warn] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_encoders.py:246: UserWarning: Found unknown categories in columns [1] during transform. These unknown categories will be encoded as all zeros warnings.warn( sklearn/svm/tests/test_svm.py::test_svc_nonfinite_params /usr/lib64/python3.13/site-packages/numpy/_core/_methods.py:171: RuntimeWarning: overflow encountered in reduce arrmean = umr_sum(arr, axis, dtype, keepdims=True, where=where) sklearn/tests/test_calibration.py: 19 warnings /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/calibration.py:337: UserWarning: The `cv='prefit'` option is deprecated in 1.6 and will be removed in 1.8. You can use CalibratedClassifierCV(FrozenEstimator(estimator)) instead. warnings.warn( sklearn/tests/test_calibration.py::test_calibration_prefit[csr_matrix] sklearn/tests/test_calibration.py::test_calibration_prefit[csr_matrix] sklearn/tests/test_calibration.py::test_calibration_prefit[csr_matrix] sklearn/tests/test_calibration.py::test_calibration_prefit[csr_matrix] sklearn/tests/test_calibration.py::test_calibration_prefit[csr_array] sklearn/tests/test_calibration.py::test_calibration_prefit[csr_array] sklearn/tests/test_calibration.py::test_calibration_prefit[csr_array] sklearn/tests/test_calibration.py::test_calibration_prefit[csr_array] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/calibration.py:382: UserWarning: Since FrozenEstimator does not appear to accept sample_weight, sample weights will only be used for the calibration itself. This can be caused by a limitation of the current scikit-learn API. See the following issue for more details: https://github.com/scikit-learn/scikit-learn/issues/21134. Be warned that the result of the calibration is likely to be incorrect. warnings.warn( 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_validation.py:1379: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/naive_bayes.py:512: RuntimeWarning: divide by zero encountered in log jointi = np.log(self.class_prior_[i]) sklearn/tests/test_common.py: 12 warnings /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/decomposition/_pca.py:586: RuntimeWarning: invalid value encountered in divide explained_variance_ = (S**2) / (n_samples - 1) sklearn/tests/test_common.py: 22 warnings /builddir/build/BUILD/python-scikit-learn-1.6.0-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(n_clusters=2,n_init=2)-check_estimator_sparse_array] sklearn/tests/test_common.py::test_estimators[SpectralCoclustering(n_clusters=2,n_init=2)-check_estimator_sparse_matrix] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/cluster/_bicluster.py:338: RuntimeWarning: invalid value encountered in multiply z = np.vstack((row_diag[:, np.newaxis] * u, col_diag[:, np.newaxis] * v)) sklearn/tests/test_common.py::test_transformers_get_feature_names_out[FastICA(max_iter=5)] sklearn/tests/test_common.py::test_set_output_transform[FastICA(max_iter=5)] sklearn/tests/test_common.py::test_set_output_transform[FastICA(max_iter=5)] sklearn/tests/test_common.py::test_set_output_transform[FastICA(max_iter=5)] sklearn/tests/test_common.py::test_set_output_transform[FastICA(max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/decomposition/_fastica.py:127: ConvergenceWarning: FastICA did not converge. Consider increasing tolerance or the maximum number of iterations. warnings.warn( sklearn/tests/test_common.py::test_transformers_get_feature_names_out[Isomap()] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/manifold/_isomap.py:384: 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[MiniBatchNMF(batch_size=10,fresh_restarts=True,max_iter=20)] sklearn/tests/test_common.py::test_set_output_transform[MiniBatchNMF(batch_size=10,fresh_restarts=True,max_iter=20)] sklearn/tests/test_common.py::test_set_output_transform[MiniBatchNMF(batch_size=10,fresh_restarts=True,max_iter=20)] sklearn/tests/test_common.py::test_set_output_transform[MiniBatchNMF(batch_size=10,fresh_restarts=True,max_iter=20)] sklearn/tests/test_common.py::test_set_output_transform[MiniBatchNMF(batch_size=10,fresh_restarts=True,max_iter=20)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/decomposition/_nmf.py:2327: ConvergenceWarning: Maximum number of iterations 20 reached. Increase it to improve convergence. warnings.warn( 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/kernel_approximation.py:1013: 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_transformers_get_feature_names_out[QuantileTransformer()] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_data.py:2824: 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_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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_data.py:2824: 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[AffinityPropagation(max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/cluster/_affinity_propagation.py:140: ConvergenceWarning: Affinity propagation did not converge, this model may return degenerate cluster centers and labels. warnings.warn( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:681: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/linear_model/_coordinate_descent.py:673: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/preprocessing/_data.py:2824: 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_common.py::test_check_inplace_ensure_writeable[TheilSenRegressor(max_iter=5,max_subpopulation=100)] /builddir/build/BUILD/python-scikit-learn-1.6.0-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_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=12390) 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 /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/discriminant_analysis.py:1052: RuntimeWarning: divide by zero encountered in power X2 = np.dot(Xm, R * (S ** (-0.5))) sklearn/tests/test_discriminant_analysis.py::test_qda_regularization /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/discriminant_analysis.py:1052: RuntimeWarning: invalid value encountered in multiply X2 = np.dot(Xm, R * (S ** (-0.5))) sklearn/tests/test_discriminant_analysis.py::test_qda_regularization /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/discriminant_analysis.py:1055: RuntimeWarning: divide by zero encountered in log u = np.asarray([np.sum(np.log(s)) for s in self.scalings_]) sklearn/tests/test_metaestimators.py: 1 warning sklearn/tests/test_metaestimators_metadata_routing.py: 30 warnings /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/semi_supervised/_self_training.py:284: UserWarning: y contains no unlabeled samples warnings.warn("y contains no unlabeled samples", UserWarning) sklearn/tests/test_metaestimators.py::test_meta_estimators_delegate_data_validation[HalvingRandomSearchCV0] sklearn/tests/test_metaestimators.py::test_meta_estimators_delegate_data_validation[HalvingRandomSearchCV2] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_search.py:317: UserWarning: The total space of parameters 2 is smaller than n_iter=3. Running 2 iterations. For exhaustive searches, use GridSearchCV. warnings.warn( 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_search.py:317: 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_metaestimators_metadata_routing.py::test_metadata_routed_to_group_splitter[HalvingRandomSearchCV] sklearn/tests/test_metaestimators_metadata_routing.py::test_metadata_routed_to_group_splitter[HalvingRandomSearchCV] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_search.py:317: UserWarning: The total space of parameters 2 is smaller than n_iter=4. Running 2 iterations. For exhaustive searches, use GridSearchCV. warnings.warn( sklearn/tests/test_metaestimators_metadata_routing.py::test_metadata_routed_to_group_splitter[GraphicalLassoCV] sklearn/tests/test_metaestimators_metadata_routing.py::test_metadata_routed_to_group_splitter[GraphicalLassoCV] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_validation.py:960: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_validation.py", line 949, in _score scores = scorer(estimator, X_test, y_test, **score_params) File "/builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_scorer.py", line 288, in __call__ return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs) ~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_scorer.py", line 379, in _score response_method = _check_response_method(estimator, self._response_method) File "/builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/validation.py", line 2283, in _check_response_method raise AttributeError( ...<2 lines>... ) AttributeError: GraphicalLassoCV has none of the following attributes: predict. warnings.warn( sklearn/tests/test_metaestimators_metadata_routing.py::test_metadata_routed_to_group_splitter[SequentialFeatureSelector] sklearn/tests/test_metaestimators_metadata_routing.py::test_metadata_routed_to_group_splitter[SequentialFeatureSelector] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_validation.py:960: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/model_selection/_validation.py", line 949, in _score scores = scorer(estimator, X_test, y_test, **score_params) File "/builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_scorer.py", line 288, in __call__ return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs) ~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/metrics/_scorer.py", line 379, in _score response_method = _check_response_method(estimator, self._response_method) File "/builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/validation.py", line 2283, in _check_response_method raise AttributeError( ...<2 lines>... ) AttributeError: SequentialFeatureSelector has none of the following attributes: predict. warnings.warn( sklearn/tests/test_multiclass.py::test_constant_int_target[ones] /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/multiclass.py:90: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/multiclass.py:90: UserWarning: Label not 0 is present in all training examples. warnings.warn( sklearn/tests/test_naive_bayes.py::test_alpha_vector sklearn/tests/test_naive_bayes.py::test_alpha_vector /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/naive_bayes.py:623: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/tree/_classes.py:1088: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/_array_api.py:832: 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/tree/tests/test_tree.py:1794: RuntimeWarning: overflow encountered in cast data = np.nan_to_num(data.astype("float32")) 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:86: RuntimeWarning: invalid value encountered in reduce return ufunc.reduce(obj, axis, dtype, out, **passkwargs) sklearn/utils/tests/test_estimator_checks.py::test_check_estimator sklearn/utils/tests/test_estimator_checks.py::test_check_estimator /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:871: SkipTestWarning: Skipping check check_sample_weights_pandas_series for LogisticRegression because it raised SkipTest: pandas is not installed: not testing for input of type pandas.Series to class weight. warnings.warn( sklearn/utils/tests/test_estimator_checks.py::test_check_estimator sklearn/utils/tests/test_estimator_checks.py::test_check_estimator /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:871: SkipTestWarning: Skipping check check_classifier_data_not_an_array for LogisticRegression because it raised SkipTest: pandas is not installed: not checking estimators for pandas objects. warnings.warn( sklearn/utils/tests/test_estimator_checks.py::test_check_estimator /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:871: SkipTestWarning: Skipping check check_regressor_data_not_an_array for MultiTaskElasticNet because it raised SkipTest: pandas is not installed: not checking estimators for pandas objects. warnings.warn( sklearn/utils/tests/test_estimator_checks.py::test_check_estimator /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:871: SkipTestWarning: Skipping check check_classifier_data_not_an_array for TaggedBinaryClassifier because it raised SkipTest: pandas is not installed: not checking estimators for pandas objects. warnings.warn( sklearn/utils/tests/test_estimator_checks.py::test_check_estimator /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:871: SkipTestWarning: Skipping check check_regressor_data_not_an_array for RequiresPositiveXRegressor because it raised SkipTest: pandas is not installed: not checking estimators for pandas objects. warnings.warn( sklearn/utils/tests/test_estimator_checks.py::test_check_estimator /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:871: SkipTestWarning: Skipping check check_regressor_data_not_an_array for RequiresPositiveYRegressor because it raised SkipTest: pandas is not installed: not checking estimators for pandas objects. warnings.warn( sklearn/utils/tests/test_estimator_checks.py::test_check_estimator /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:871: SkipTestWarning: Skipping check check_sample_weights_pandas_series for PoorScoreLogisticRegression because it raised SkipTest: pandas is not installed: not testing for input of type pandas.Series to class weight. warnings.warn( sklearn/utils/tests/test_estimator_checks.py::test_check_estimator /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:871: SkipTestWarning: Skipping check check_classifier_data_not_an_array for PoorScoreLogisticRegression because it raised SkipTest: pandas is not installed: not checking estimators for pandas objects. warnings.warn( 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:871: SkipTestWarning: Skipping check check_sample_weights_pandas_series for LinearRegression because it raised SkipTest: pandas is not installed: not testing for input of type pandas.Series to class weight. warnings.warn( 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:871: SkipTestWarning: Skipping check check_regressor_data_not_an_array for LinearRegression because it raised SkipTest: pandas is not installed: not checking estimators for pandas objects. warnings.warn( 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:871: SkipTestWarning: Skipping check check_sample_weights_pandas_series for SGDClassifier because it raised SkipTest: pandas is not installed: not testing for input of type pandas.Series to class weight. warnings.warn( 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:871: SkipTestWarning: Skipping check check_classifier_data_not_an_array for SGDClassifier because it raised SkipTest: pandas is not installed: not checking estimators for pandas objects. warnings.warn( 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:871: SkipTestWarning: Skipping check check_array_api_input for PCA because it raised SkipTest: array_api_compat is not installed: not checking array_api input warnings.warn( 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:871: SkipTestWarning: Skipping check check_array_api_input for PCA because it raised SkipTest: array_api_strict is not installed: not checking array_api input warnings.warn( 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:871: SkipTestWarning: Skipping check check_array_api_input for PCA because it raised SkipTest: cupy is not installed: not checking array_api input warnings.warn( 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:871: SkipTestWarning: Skipping check check_array_api_input for PCA because it raised SkipTest: torch is not installed: not checking array_api input warnings.warn( 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:871: SkipTestWarning: Skipping check check_sample_weights_pandas_series for MiniBatchKMeans because it raised SkipTest: pandas is not installed: not testing for input of type pandas.Series to class weight. warnings.warn( sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_pairwise /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:871: SkipTestWarning: Skipping check check_sample_weights_pandas_series for SVC because it raised SkipTest: pandas is not installed: not testing for input of type pandas.Series to class weight. warnings.warn( sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_pairwise /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:871: SkipTestWarning: Skipping check check_classifier_data_not_an_array for SVC because it raised SkipTest: pandas is not installed: not checking estimators for pandas objects. warnings.warn( sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_pairwise /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:871: SkipTestWarning: Skipping check check_regressor_data_not_an_array for KNeighborsRegressor because it raised SkipTest: pandas is not installed: not checking estimators for pandas objects. warnings.warn( sklearn/utils/tests/test_estimator_checks.py::test_non_deterministic_estimator_skip_tests /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:128: UserWarning: Estimator MinimalTransformer does not inherit from `sklearn.base.BaseEstimator`. This might lead to unexpected behavior, or even errors when collecting tests. warnings.warn( sklearn/utils/tests/test_estimator_checks.py::test_non_deterministic_estimator_skip_tests /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:128: UserWarning: Estimator MyEstimator does not inherit from `sklearn.base.BaseEstimator`. This might lead to unexpected behavior, or even errors when collecting tests. warnings.warn( sklearn/utils/tests/test_estimator_checks.py::test_non_deterministic_estimator_skip_tests /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:128: UserWarning: Estimator MinimalRegressor does not inherit from `sklearn.base.BaseEstimator`. This might lead to unexpected behavior, or even errors when collecting tests. warnings.warn( sklearn/utils/tests/test_estimator_checks.py::test_non_deterministic_estimator_skip_tests sklearn/utils/tests/test_estimator_checks.py::test_yield_all_checks_legacy /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/estimator_checks.py:128: UserWarning: Estimator MinimalClassifier does not inherit from `sklearn.base.BaseEstimator`. This might lead to unexpected behavior, or even errors when collecting tests. warnings.warn( 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-1.6.0-build/BUILDROOT/usr/lib64/python3.13/site-packages/sklearn/utils/optimize.py:312: UserWarning: Line Search failed warnings.warn("Line Search failed") -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html = 31799 passed, 5540 skipped, 41 deselected, 151 xfailed, 74 xpassed, 3441 warnings in 704.54s (0:11:44) = This problem is unconstrained. This problem is unconstrained. 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 ~/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0 + popd + RPM_EC=0 ++ jobs -p + exit 0 Processing files: python3-scikit-learn-1.6.0-1.fc42.x86_64 Executing(%doc): /bin/sh -e /var/tmp/rpm-tmp.urSwVa + umask 022 + cd /builddir/build/BUILD/python-scikit-learn-1.6.0-build + cd scikit_learn-1.6.0 + DOCDIR=/builddir/build/BUILD/python-scikit-learn-1.6.0-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-1.6.0-build/BUILDROOT/usr/share/doc/python3-scikit-learn + cp -pr /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/examples /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/share/doc/python3-scikit-learn + RPM_EC=0 ++ jobs -p + exit 0 Executing(%license): /bin/sh -e /var/tmp/rpm-tmp.n65B85 + umask 022 + cd /builddir/build/BUILD/python-scikit-learn-1.6.0-build + cd scikit_learn-1.6.0 + LICENSEDIR=/builddir/build/BUILD/python-scikit-learn-1.6.0-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-1.6.0-build/BUILDROOT/usr/share/licenses/python3-scikit-learn + cp -pr /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/COPYING /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/share/licenses/python3-scikit-learn + cp -pr /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/svm/src/liblinear/COPYRIGHT /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT/usr/share/licenses/python3-scikit-learn + RPM_EC=0 ++ jobs -p + exit 0 Provides: python-scikit-learn = 1.6.0-1.fc42 python-sklearn = 1.6.0-1.fc42 python3-scikit-learn = 1.6.0-1.fc42 python3-scikit-learn(x86-64) = 1.6.0-1.fc42 python3.13-scikit-learn = 1.6.0-1.fc42 python3.13-sklearn = 1.6.0-1.fc42 python3.13dist(scikit-learn) = 1.6 python3dist(scikit-learn) = 1.6 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 < 1.6.0-1.fc42 python3-scikit_learn < 1.5.2-2 Processing files: python-scikit-learn-debugsource-1.6.0-1.fc42.x86_64 Provides: python-scikit-learn-debugsource = 1.6.0-1.fc42 python-scikit-learn-debugsource(x86-64) = 1.6.0-1.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-1.6.0-1.fc42.x86_64 Provides: debuginfo(build-id) = 0dd4d3520a690545b8e76c2dcd9d993cbaaf8c21 debuginfo(build-id) = 102f44824aefc3b4d9a72b3d21a4621f26a922c3 debuginfo(build-id) = 11281bb78cf3064b6dc60af0d097d20b9be72d66 debuginfo(build-id) = 115ccfde8f453aa75e220d0452587a96fd7d1c17 debuginfo(build-id) = 19d254190a5079fe3a1824a4b2561758bf01fc39 debuginfo(build-id) = 19f515957a320401a786ff1f087177b7d6097a82 debuginfo(build-id) = 1d5054332d915b10b8f0a2e47dba973b1108be2f debuginfo(build-id) = 1fc36c12e95ed75b034939d13a7956a718832b40 debuginfo(build-id) = 229b906bcdf26740b767dc9fa591e899a8a0e678 debuginfo(build-id) = 25de5e163c7c308049c5e26cfdd9b61986c13e5a debuginfo(build-id) = 27473556e1c8b6e1c15d765a557eb1733b02b32e debuginfo(build-id) = 2950d01c7d6ca61feaed67c969cae2dc36dc6a4c debuginfo(build-id) = 2e8b5ad351e0cfb92305098870a41c80fb243c1b debuginfo(build-id) = 32b5b8fce243906fc41920b8a21db3e6e1860f34 debuginfo(build-id) = 33ed378b020f68ad6d7b387daed644fe6a10314f debuginfo(build-id) = 3591dda35a6f461fbe04e3fc8813eed3c7f67ae5 debuginfo(build-id) = 35ba0838b5a13c24418ef300a9a3d342e2f6e0c3 debuginfo(build-id) = 3a94a6038426683393cfc5691acd55c9c0918bf4 debuginfo(build-id) = 3abdc11465688120fc62b07c952605d4151e803d debuginfo(build-id) = 3c128839da2d4b1a651a885fdccc6836dfc199ef debuginfo(build-id) = 3c78010f1798be55ea195c1f7be6cc7277d4bc21 debuginfo(build-id) = 3f85206e5a4b5c68cf3e44c3c382c3497a914cf7 debuginfo(build-id) = 498079f12a624e6e99df85099f40dc177a079b15 debuginfo(build-id) = 54c3ee0ec9fadc92067f13462343b30dda97a634 debuginfo(build-id) = 5bb3411e7463deb7412bb8d323ed8619146a6ddc debuginfo(build-id) = 5be6abe454f28e4455dac48b54b2f7c62377740e debuginfo(build-id) = 5e547c28781ff35ea9c10bed5fb910c62ecf8c38 debuginfo(build-id) = 60b989777e7a14aeb61e118eef936c80b390c4fc debuginfo(build-id) = 610719ed3ceb0ac8cced7a48d59d60a0a5346ded debuginfo(build-id) = 63c5a113c06c9de8aedf7f9504572b30fb40ffd5 debuginfo(build-id) = 644e8a4e0426b7883d0609c359fbfd16f2b5bd40 debuginfo(build-id) = 668a047cb7258590083478db99c24ddf6aee8f89 debuginfo(build-id) = 6a530835be4a2397af9585ef290acdb2ea257fb0 debuginfo(build-id) = 6e93bed918f7a575473b21e0ecd26b08b0a3317d debuginfo(build-id) = 76fd379f4e5b31412d33ff48219934aac960dd08 debuginfo(build-id) = 788c902802cf03716980227272c1968d65b9dc1d debuginfo(build-id) = 7e8205f5ddaea62fb83308e3fa6438ea6f4a140a debuginfo(build-id) = 80466f1053ce9f70ec8d785506aa42579acb5083 debuginfo(build-id) = 87171d2b88f1c2e37abcf0a5165d48e48e5a3b6b debuginfo(build-id) = 8e11953d505a26979bdf898e0896a6125f52a70e debuginfo(build-id) = 90d40c62db06dfc13be7edf16fbb06e89c07da69 debuginfo(build-id) = 91e708fdc99b38ebd93ce3c06aa77d210a265bbb debuginfo(build-id) = 9d37b1faa8a38921c007ad87a600856d6bbbf831 debuginfo(build-id) = a74518e5e2095ee8bac5fe3cf5f963bdcf0589bf debuginfo(build-id) = ab3689f4a3dea3fc08cd3a9f3630b8b19765816e debuginfo(build-id) = ab94065f1ea34685a14ad698b2bd2b9b9712e0c0 debuginfo(build-id) = b043db0f5721d07a61ac7386bc6a18ec84eccf90 debuginfo(build-id) = b07879cff7cf3f8daaaebf6a3d25f1500974a331 debuginfo(build-id) = b0da39582a2928c57c45d5a0f5259a64f2881326 debuginfo(build-id) = b76a9de2b95df5d22c537c8c25a8fc3ca0bfcd97 debuginfo(build-id) = be3e39e1c6dc003404c08e85d2c1265aa360c5cb debuginfo(build-id) = c21f4db4cdf52db08a1f4a1604b38720866905d7 debuginfo(build-id) = c25b354c4f76e53d6612108ed1c566b74dcef9c9 debuginfo(build-id) = c78ee2c7ec9166afd8653fc01897006ac7ee4b9a debuginfo(build-id) = c800c485af01473f39b36defc47c4f0a10f2b833 debuginfo(build-id) = c807017c850fd4afa554ae589fb4030e3622e04a debuginfo(build-id) = d4333165a2f3e5941e52a9617959422c02a45da6 debuginfo(build-id) = d682d3aeca09f1631c01eb41b3d9e639bad5900a debuginfo(build-id) = dd8a75720ea4fcbd589cd58432c26e87a878384f debuginfo(build-id) = e04f2542d2bd05ddef124a5eb2791c5d8d452619 debuginfo(build-id) = e4786bd1196d1acb14b3f09371f7a7fd4d9339ff debuginfo(build-id) = eaf1c05d2ad6ddc02e6dfbb796b78f8db9f967d8 debuginfo(build-id) = ed14dac4d77eb1eb3d6d8436c13d4242b07a4eea debuginfo(build-id) = ee2409fda4eed4491e11dc70e2cc03d6cd34fc1c debuginfo(build-id) = eeb2175dfb5aab0132095f3e15b6bfeee0101a2a debuginfo(build-id) = f3376ce8934b3585a036d134a6919823b1eecc51 debuginfo(build-id) = fb805de5e7bd81243e9661a1b9f6becd2f401a00 debuginfo(build-id) = fd423b62bae8c11b40bf50ee85ba0550f579e387 python-scikit-learn-debuginfo = 1.6.0-1.fc42 python3-scikit-learn-debuginfo = 1.6.0-1.fc42 python3-scikit-learn-debuginfo(x86-64) = 1.6.0-1.fc42 python3.13-scikit-learn-debuginfo = 1.6.0-1.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) = 1.6.0-1.fc42 Checking for unpackaged file(s): /usr/lib/rpm/check-files /builddir/build/BUILD/python-scikit-learn-1.6.0-build/BUILDROOT Wrote: /builddir/build/SRPMS/python-scikit-learn-1.6.0-1.fc42.src.rpm Wrote: /builddir/build/RPMS/python3-scikit-learn-1.6.0-1.fc42.x86_64.rpm Wrote: /builddir/build/RPMS/python-scikit-learn-debugsource-1.6.0-1.fc42.x86_64.rpm Wrote: /builddir/build/RPMS/python3-scikit-learn-debuginfo-1.6.0-1.fc42.x86_64.rpm Executing(rmbuild): /bin/sh -e /var/tmp/rpm-tmp.49U2lx + umask 022 + cd /builddir/build/BUILD/python-scikit-learn-1.6.0-build + test -d /builddir/build/BUILD/python-scikit-learn-1.6.0-build + /usr/bin/chmod -Rf a+rX,u+w,g-w,o-w /builddir/build/BUILD/python-scikit-learn-1.6.0-build + rm -rf /builddir/build/BUILD/python-scikit-learn-1.6.0-build + RPM_EC=0 ++ jobs -p + exit 0 Finish: rpmbuild python-scikit-learn-1.6.0-1.fc42.src.rpm Finish: build phase for python-scikit-learn-1.6.0-1.fc42.src.rpm INFO: chroot_scan: 1 files copied to /var/lib/copr-rpmbuild/results/chroot_scan INFO: /var/lib/mock/fedora-rawhide-x86_64-1734571110.300285/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-1.6.0-1.fc42.src.rpm) Config(child) 25 minutes 51 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": "python-scikit-learn-debugsource", "epoch": null, "version": "1.6.0", "release": "1.fc42", "arch": "x86_64" }, { "name": "python3-scikit-learn", "epoch": null, "version": "1.6.0", "release": "1.fc42", "arch": "x86_64" }, { "name": "python-scikit-learn", "epoch": null, "version": "1.6.0", "release": "1.fc42", "arch": "src" }, { "name": "python3-scikit-learn-debuginfo", "epoch": null, "version": "1.6.0", "release": "1.fc42", "arch": "x86_64" } ] } RPMResults finished