Warning: Permanently added '169.62.21.246' (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/8418975-fedora-rawhide-s390x --chroot fedora-rawhide-s390x Version: 1.2 PID: 9782 Logging PID: 9783 Task: {'allow_user_ssh': False, 'appstream': False, 'background': True, 'build_id': 8418975, 'buildroot_pkgs': [], 'chroot': 'fedora-rawhide-s390x', 'enable_net': False, 'fedora_review': False, 'git_hash': 'cae5a2e472d275798f096844bf421e73d11c7ca3', 'git_repo': 'https://copr-dist-git.fedorainfracloud.org/git/psimovec/python3-scipy-1.11.1/python-scikit-learn', 'isolation': 'default', 'memory_reqs': 2048, 'package_name': 'python-scikit-learn', 'package_version': '1.6.0-1', 'project_dirname': 'python3-scipy-1.11.1', 'project_name': 'python3-scipy-1.11.1', 'project_owner': 'psimovec', 'repo_priority': None, 'repos': [{'baseurl': 'https://download.copr.fedorainfracloud.org/results/psimovec/python3-scipy-1.11.1/fedora-rawhide-s390x/', '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/python3-scipy-1.11.1--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': '8418975-fedora-rawhide-s390x', 'timeout': 18000, 'uses_devel_repo': False, 'with_opts': [], 'without_opts': []} Running: git clone https://copr-dist-git.fedorainfracloud.org/git/psimovec/python3-scipy-1.11.1/python-scikit-learn /var/lib/copr-rpmbuild/workspace/workdir-guodrnc3/python-scikit-learn --depth 500 --no-single-branch --recursive cmd: ['git', 'clone', 'https://copr-dist-git.fedorainfracloud.org/git/psimovec/python3-scipy-1.11.1/python-scikit-learn', '/var/lib/copr-rpmbuild/workspace/workdir-guodrnc3/python-scikit-learn', '--depth', '500', '--no-single-branch', '--recursive'] cwd: . rc: 0 stdout: stderr: Cloning into '/var/lib/copr-rpmbuild/workspace/workdir-guodrnc3/python-scikit-learn'... Running: git checkout cae5a2e472d275798f096844bf421e73d11c7ca3 -- cmd: ['git', 'checkout', 'cae5a2e472d275798f096844bf421e73d11c7ca3', '--'] cwd: /var/lib/copr-rpmbuild/workspace/workdir-guodrnc3/python-scikit-learn rc: 0 stdout: stderr: Note: switching to 'cae5a2e472d275798f096844bf421e73d11c7ca3'. 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 cae5a2e automatic import of python-scikit-learn Running: dist-git-client sources cmd: ['dist-git-client', 'sources'] cwd: /var/lib/copr-rpmbuild/workspace/workdir-guodrnc3/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/python3-scipy-1.11.1/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 149M 0 --:--:-- --:--:-- --:--:-- 153M 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-guodrnc3/python-scikit-learn/python-scikit-learn.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-guodrnc3/python-scikit-learn --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1734624735.142109 -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-guodrnc3/python-scikit-learn/python-scikit-learn.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-guodrnc3/python-scikit-learn --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1734624735.142109 -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-guodrnc3/python-scikit-learn/python-scikit-learn.spec) Config(fedora-rawhide-s390x) 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-s390x-bootstrap-1734624735.142109/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-s390x-bootstrap-1734624735.142109/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/da2b15e6e73ce3eeddfa993cdfe79e2af36b16377c7a73c18685440fec3badb1/merged INFO: umounting image registry.fedoraproject.org/fedora:rawhide (/var/lib/containers/storage/overlay/da2b15e6e73ce3eeddfa993cdfe79e2af36b16377c7a73c18685440fec3badb1/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-s390x-1734624735.142109/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.s390x rpm-sequoia-1.7.0-3.fc42.s390x dnf5-5.2.8.1-2.fc42.s390x dnf5-plugins-5.2.8.1-2.fc42.s390x Start: installing minimal buildroot with dnf5 Updating and loading repositories: fedora 100% | 35.6 MiB/s | 19.7 MiB | 00m01s Copr repository 100% | 1.5 MiB/s | 270.8 KiB | 00m00s Additional repo http_kojipkgs_fedorapr 100% | 76.1 MiB/s | 14.6 MiB | 00m00s Repositories loaded. 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http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 3.7 MiB which s390x 2.21-42.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 83.9 KiB xz s390x 1:5.6.3-2.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.2 MiB Installing dependencies: add-determinism s390x 0.4.3-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 3.3 MiB alternatives s390x 1.31-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 60.6 KiB ansible-srpm-macros noarch 1-16.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 35.7 KiB audit-libs s390x 4.0.2-1.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 350.9 KiB authselect s390x 1.5.0-8.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 157.3 KiB authselect-libs s390x 1.5.0-8.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 823.5 KiB basesystem noarch 11-21.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 0.0 B binutils s390x 2.43.50-9.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 27.4 MiB build-reproducibility-srpm-macros noarch 0.4.3-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 735.0 B bzip2-libs s390x 1.0.8-19.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 88.5 KiB ca-certificates noarch 2024.2.69_v8.0.401-3.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 2.6 MiB coreutils-common s390x 9.5-11.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 11.2 MiB cracklib s390x 2.9.11-6.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 250.0 KiB crypto-policies noarch 20241128-1.gitbb7b0b0.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 137.3 KiB curl s390x 8.11.1-2.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 475.8 KiB cyrus-sasl-lib s390x 2.1.28-27.fc41 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http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 122.5 KiB pcre2 s390x 10.44-1.fc41.1 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 684.9 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 s390x 2.3.0-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 92.4 KiB pkgconf-m4 noarch 2.3.0-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 14.4 KiB pkgconf-pkg-config s390x 2.3.0-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 988.0 B popt s390x 1.19-7.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 144.7 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 s390x 8.2-11.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 556.8 KiB rpm s390x 4.20.0-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 3.1 MiB rpm-build-libs s390x 4.20.0-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 218.4 KiB rpm-libs s390x 4.20.0-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 813.6 KiB rpm-sequoia s390x 1.7.0-3.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 3.2 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 s390x 3.47.2-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.6 MiB systemd-libs s390x 257-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 2.2 MiB util-linux-core s390x 2.40.2-8.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.5 MiB xxhash-libs s390x 0.8.2-4.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 68.0 KiB xz-libs s390x 1:5.6.3-2.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 226.1 KiB zig-srpm-macros noarch 1-3.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.1 KiB zip s390x 3.0-42.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 723.1 KiB zlib-ng-compat s390x 2.2.2-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 109.4 KiB zstd s390x 1.5.6-2.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.8 MiB Installing groups: Buildsystem building group Transaction Summary: Installing: 153 packages Total size of inbound packages is 53 MiB. Need to download 53 MiB. After this operation, 184 MiB extra will be used (install 184 MiB, remove 0 B). [ 1/153] bzip2-0:1.0.8-19.fc41.s390x 100% | 985.6 KiB/s | 53.2 KiB | 00m00s [ 2/153] bash-0:5.2.37-1.fc42.s390x 100% | 30.1 MiB/s | 1.8 MiB | 00m00s [ 3/153] cpio-0:2.15-2.fc41.s390x 100% | 47.2 MiB/s | 290.0 KiB | 00m00s [ 4/153] coreutils-0:9.5-11.fc42.s390x 100% | 18.3 MiB/s | 1.2 MiB | 00m00s [ 5/153] diffutils-0:3.10-8.fc41.s390x 100% | 100.3 MiB/s | 410.7 KiB | 00m00s [ 6/153] findutils-1:4.10.0-4.fc41.s39 100% | 89.3 MiB/s | 548.8 KiB | 00m00s [ 7/153] gawk-0:5.3.0-4.fc41.s390x 100% | 155.6 MiB/s | 1.1 MiB | 00m00s [ 8/153] glibc-minimal-langpack-0:2.40 100% | 29.8 MiB/s | 121.9 KiB | 00m00s [ 9/153] fedora-release-common-0:42-0. 100% | 1.6 MiB/s | 23.9 KiB | 00m00s [ 10/153] grep-0:3.11-9.fc41.s390x 100% | 72.4 MiB/s | 296.5 KiB | 00m00s [ 11/153] gzip-0:1.13-2.fc41.s390x 100% | 41.8 MiB/s | 171.1 KiB | 00m00s [ 12/153] info-0:7.1.1-2.fc42.s390x 100% | 47.2 MiB/s | 193.4 KiB | 00m00s [ 13/153] patch-0:2.7.6-25.fc41.s390x 100% | 45.7 MiB/s | 140.4 KiB | 00m00s [ 14/153] redhat-rpm-config-0:296-1.fc4 100% | 24.6 MiB/s | 75.7 KiB | 00m00s [ 15/153] rpm-build-0:4.20.0-1.fc42.s39 100% | 24.7 MiB/s | 75.8 KiB | 00m00s [ 16/153] sed-0:4.9-3.fc41.s390x 100% | 50.7 MiB/s | 311.8 KiB | 00m00s [ 17/153] shadow-utils-2:4.17.0~rc1-1.f 100% | 136.8 MiB/s | 1.2 MiB | 00m00s [ 18/153] tar-2:1.35-4.fc41.s390x 100% | 106.1 MiB/s | 869.1 KiB | 00m00s [ 19/153] unzip-0:6.0-65.fc42.s390x 100% | 38.1 MiB/s | 195.1 KiB | 00m00s [ 20/153] which-0:2.21-42.fc41.s390x 100% | 14.0 MiB/s | 43.0 KiB | 00m00s [ 21/153] util-linux-0:2.40.2-8.fc42.s3 100% | 156.9 MiB/s | 1.1 MiB | 00m00s [ 22/153] xz-1:5.6.3-2.fc42.s390x 100% | 64.5 MiB/s | 462.6 KiB | 00m00s [ 23/153] xz-libs-1:5.6.3-2.fc42.s390x 100% | 28.8 MiB/s | 118.1 KiB | 00m00s [ 24/153] audit-libs-0:4.0.2-1.fc41.s39 100% | 41.2 MiB/s | 126.6 KiB | 00m00s [ 25/153] glibc-0:2.40.9000-24.fc42.s39 100% | 183.4 MiB/s | 1.8 MiB | 00m00s [ 26/153] authselect-libs-0:1.5.0-8.fc4 100% | 49.9 MiB/s | 204.4 KiB | 00m00s [ 27/153] libblkid-0:2.40.2-8.fc42.s390 100% | 25.5 MiB/s | 130.8 KiB | 00m00s [ 28/153] libcap-ng-0:0.8.5-3.fc41.s390 100% | 10.8 MiB/s | 33.2 KiB | 00m00s [ 29/153] libfdisk-0:2.40.2-8.fc42.s390 100% | 53.9 MiB/s | 165.6 KiB | 00m00s [ 30/153] libmount-0:2.40.2-8.fc42.s390 100% | 39.0 MiB/s | 159.7 KiB | 00m00s [ 31/153] libselinux-0:3.8-0.rc1.2.fc42 100% | 22.9 MiB/s | 94.0 KiB | 00m00s [ 32/153] libsmartcols-0:2.40.2-8.fc42. 100% | 28.0 MiB/s | 86.0 KiB | 00m00s [ 33/153] libuuid-0:2.40.2-8.fc42.s390x 100% | 9.5 MiB/s | 29.2 KiB | 00m00s [ 34/153] ncurses-libs-0:6.5-2.20240629 100% | 88.0 MiB/s | 360.6 KiB | 00m00s [ 35/153] pam-0:1.7.0-3.fc42.s390x 100% | 102.8 MiB/s | 526.5 KiB | 00m00s [ 36/153] pam-libs-0:1.7.0-3.fc42.s390x 100% | 19.2 MiB/s | 59.1 KiB | 00m00s [ 37/153] readline-0:8.2-11.fc42.s390x 100% | 56.1 MiB/s | 229.7 KiB | 00m00s [ 38/153] util-linux-core-0:2.40.2-8.fc 100% | 73.7 MiB/s | 528.0 KiB | 00m00s [ 39/153] zlib-ng-compat-0:2.2.2-1.fc42 100% | 16.1 MiB/s | 66.0 KiB | 00m00s [ 40/153] systemd-libs-0:257-1.fc42.s39 100% | 96.1 MiB/s | 787.5 KiB | 00m00s [ 41/153] bzip2-libs-0:1.0.8-19.fc41.s3 100% | 15.1 MiB/s | 46.3 KiB | 00m00s [ 42/153] libacl-0:2.3.2-2.fc41.s390x 100% | 8.3 MiB/s | 25.4 KiB | 00m00s [ 43/153] libcap-0:2.71-1.fc42.s390x 100% | 29.0 MiB/s | 89.1 KiB | 00m00s [ 44/153] libgcc-0:14.2.1-6.fc42.s390x 100% | 30.0 MiB/s | 92.2 KiB | 00m00s [ 45/153] libeconf-0:0.7.5-1.fc42.s390x 100% | 11.3 MiB/s | 34.6 KiB | 00m00s [ 46/153] libattr-0:2.5.2-4.fc41.s390x 100% | 4.5 MiB/s | 18.4 KiB | 00m00s [ 47/153] libsemanage-0:3.8-0.rc1.1.fc4 100% | 38.0 MiB/s | 116.6 KiB | 00m00s [ 48/153] setup-0:2.15.0-5.fc41.noarch 100% | 48.3 MiB/s | 148.3 KiB | 00m00s [ 49/153] libxcrypt-0:4.4.36-11.fc42.s3 100% | 30.2 MiB/s | 123.7 KiB | 00m00s [ 50/153] debugedit-0:5.1-2.fc42.s390x 100% | 26.3 MiB/s | 80.9 KiB | 00m00s [ 51/153] elfutils-0:0.192-7.fc42.s390x 100% | 59.2 MiB/s | 545.9 KiB | 00m00s [ 52/153] elfutils-libelf-0:0.192-7.fc4 100% | 29.3 MiB/s | 210.0 KiB | 00m00s [ 53/153] file-0:5.45-8.fc42.s390x 100% | 11.9 MiB/s | 48.8 KiB | 00m00s [ 54/153] pkgconf-pkg-config-0:2.3.0-1. 100% | 3.2 MiB/s | 9.9 KiB | 00m00s [ 55/153] libarchive-0:3.7.7-1.fc42.s39 100% | 62.3 MiB/s | 446.9 KiB | 00m00s [ 56/153] binutils-0:2.43.50-9.fc42.s39 100% | 225.1 MiB/s | 6.1 MiB | 00m00s [ 57/153] popt-0:1.19-7.fc41.s390x 100% | 8.6 MiB/s | 61.9 KiB | 00m00s [ 58/153] rpm-0:4.20.0-1.fc42.s390x 100% | 63.2 MiB/s | 518.1 KiB | 00m00s [ 59/153] rpm-build-libs-0:4.20.0-1.fc4 100% | 32.7 MiB/s | 100.5 KiB | 00m00s [ 60/153] rpm-libs-0:4.20.0-1.fc42.s390 100% | 63.4 MiB/s | 324.6 KiB | 00m00s [ 61/153] zstd-0:1.5.6-2.fc41.s390x 100% | 101.1 MiB/s | 517.6 KiB | 00m00s [ 62/153] curl-0:8.11.1-2.fc42.s390x 100% | 54.6 MiB/s | 223.6 KiB | 00m00s [ 63/153] ansible-srpm-macros-0:1-16.fc 100% | 6.8 MiB/s | 20.8 KiB | 00m00s [ 64/153] build-reproducibility-srpm-ma 100% | 2.7 MiB/s | 11.2 KiB | 00m00s [ 65/153] dwz-0:0.15-8.fc42.s390x 100% | 35.3 MiB/s | 144.6 KiB | 00m00s [ 66/153] efi-srpm-macros-0:5-13.fc42.n 100% | 5.5 MiB/s | 22.5 KiB | 00m00s [ 67/153] glibc-gconv-extra-0:2.40.9000 100% | 134.8 MiB/s | 1.5 MiB | 00m00s [ 68/153] fonts-srpm-macros-1:2.0.5-17. 100% | 8.8 MiB/s | 27.0 KiB | 00m00s [ 69/153] forge-srpm-macros-0:0.4.0-1.f 100% | 6.4 MiB/s | 19.8 KiB | 00m00s [ 70/153] fpc-srpm-macros-0:1.3-13.fc41 100% | 3.9 MiB/s | 8.0 KiB | 00m00s [ 71/153] ghc-srpm-macros-0:1.9.2-1.fc4 100% | 4.5 MiB/s | 9.1 KiB | 00m00s [ 72/153] gnat-srpm-macros-0:6-6.fc41.n 100% | 2.9 MiB/s | 9.0 KiB | 00m00s [ 73/153] go-srpm-macros-0:3.6.0-5.fc42 100% | 9.1 MiB/s | 28.0 KiB | 00m00s [ 74/153] kernel-srpm-macros-0:1.0-24.f 100% | 1.9 MiB/s | 9.9 KiB | 00m00s [ 75/153] ocaml-srpm-macros-0:10-3.fc41 100% | 2.2 MiB/s | 9.2 KiB | 00m00s [ 76/153] lua-srpm-macros-0:1-14.fc41.n 100% | 1.7 MiB/s | 8.9 KiB | 00m00s [ 77/153] openblas-srpm-macros-0:2-18.f 100% | 1.9 MiB/s | 7.7 KiB | 00m00s [ 78/153] perl-srpm-macros-0:1-56.fc41. 100% | 2.1 MiB/s | 8.5 KiB | 00m00s [ 79/153] package-notes-srpm-macros-0:0 100% | 2.4 MiB/s | 9.8 KiB | 00m00s [ 80/153] pyproject-srpm-macros-0:1.16. 100% | 4.5 MiB/s | 13.9 KiB | 00m00s [ 81/153] qt5-srpm-macros-0:5.15.15-1.f 100% | 2.9 MiB/s | 8.9 KiB | 00m00s [ 82/153] python-srpm-macros-0:3.13-3.f 100% | 5.8 MiB/s | 23.7 KiB | 00m00s [ 83/153] qt6-srpm-macros-0:6.8.1-4.fc4 100% | 4.5 MiB/s | 9.3 KiB | 00m00s [ 84/153] rust-srpm-macros-0:26.3-3.fc4 100% | 3.9 MiB/s | 12.1 KiB | 00m00s [ 85/153] zig-srpm-macros-0:1-3.fc41.no 100% | 2.0 MiB/s | 8.1 KiB | 00m00s [ 86/153] zip-0:3.0-42.fc42.s390x 100% | 89.4 MiB/s | 274.7 KiB | 00m00s [ 87/153] pkgconf-0:2.3.0-1.fc42.s390x 100% | 11.2 MiB/s | 45.8 KiB | 00m00s [ 88/153] libpkgconf-0:2.3.0-1.fc42.s39 100% | 12.7 MiB/s | 39.0 KiB | 00m00s [ 89/153] ed-0:1.20.2-2.fc41.s390x 100% | 27.1 MiB/s | 83.3 KiB | 00m00s [ 90/153] authselect-0:1.5.0-8.fc42.s39 100% | 45.9 MiB/s | 140.9 KiB | 00m00s [ 91/153] gdbm-1:1.23-7.fc41.s390x 100% | 36.8 MiB/s | 150.9 KiB | 00m00s [ 92/153] gdbm-libs-1:1.23-7.fc41.s390x 100% | 18.9 MiB/s | 58.0 KiB | 00m00s [ 93/153] pkgconf-m4-0:2.3.0-1.fc42.noa 100% | 1.0 MiB/s | 14.3 KiB | 00m00s [ 94/153] libpwquality-0:1.4.5-11.fc41. 100% | 35.5 MiB/s | 109.1 KiB | 00m00s [ 95/153] libtirpc-0:1.3.6-1.fc42.s390x 100% | 31.4 MiB/s | 96.4 KiB | 00m00s [ 96/153] openssl-libs-1:3.2.2-8.fc42.s 100% | 204.9 MiB/s | 2.0 MiB | 00m00s [ 97/153] ncurses-base-0:6.5-2.20240629 100% | 20.8 MiB/s | 63.8 KiB | 00m00s [ 98/153] crypto-policies-0:20241128-1. 100% | 6.0 MiB/s | 73.7 KiB | 00m00s [ 99/153] libcom_err-0:1.47.1-6.fc42.s3 100% | 6.5 MiB/s | 26.5 KiB | 00m00s [100/153] ca-certificates-0:2024.2.69_v 100% | 48.5 MiB/s | 944.5 KiB | 00m00s [101/153] krb5-libs-0:1.21.3-3.fc42.s39 100% | 108.8 MiB/s | 779.7 KiB | 00m00s [102/153] libsepol-0:3.8-0.rc1.1.fc42.s 100% | 68.5 MiB/s | 350.5 KiB | 00m00s [103/153] cracklib-0:2.9.11-6.fc41.s390 100% | 27.2 MiB/s | 83.7 KiB | 00m00s [104/153] pcre2-0:10.44-1.fc41.1.s390x 100% | 50.9 MiB/s | 260.8 KiB | 00m00s [105/153] libxml2-0:2.12.8-2.fc41.s390x 100% | 115.1 MiB/s | 707.0 KiB | 00m00s [106/153] libzstd-0:1.5.6-2.fc41.s390x 100% | 67.8 MiB/s | 346.9 KiB | 00m00s [107/153] lz4-libs-0:1.10.0-1.fc41.s390 100% | 18.5 MiB/s | 94.7 KiB | 00m00s [108/153] keyutils-libs-0:1.6.3-4.fc41. 100% | 10.3 MiB/s | 31.5 KiB | 00m00s [109/153] libverto-0:0.3.2-9.fc41.s390x 100% | 6.8 MiB/s | 20.9 KiB | 00m00s [110/153] glibc-common-0:2.40.9000-24.f 100% | 99.6 MiB/s | 408.1 KiB | 00m00s [111/153] basesystem-0:11-21.fc41.noarc 100% | 3.6 MiB/s | 7.4 KiB | 00m00s [112/153] gmp-1:6.3.0-2.fc41.s390x 100% | 63.7 MiB/s | 326.3 KiB | 00m00s [113/153] mpfr-0:4.2.1-5.fc41.s390x 100% | 58.2 MiB/s | 297.8 KiB | 00m00s [114/153] filesystem-0:3.18-29.fc42.s39 100% | 118.9 MiB/s | 1.1 MiB | 00m00s [115/153] elfutils-debuginfod-client-0: 100% | 14.6 MiB/s | 44.9 KiB | 00m00s [116/153] file-libs-0:5.45-8.fc42.s390x 100% | 93.8 MiB/s | 768.6 KiB | 00m00s [117/153] elfutils-libs-0:0.192-7.fc42. 100% | 53.6 MiB/s | 274.2 KiB | 00m00s [118/153] libstdc++-0:14.2.1-6.fc42.s39 100% | 138.6 MiB/s | 993.5 KiB | 00m00s [119/153] fedora-repos-0:42-0.3.noarch 100% | 540.7 KiB/s | 9.2 KiB | 00m00s [120/153] coreutils-common-0:9.5-11.fc4 100% | 190.6 MiB/s | 2.1 MiB | 00m00s [121/153] libffi-0:3.4.6-3.fc42.s390x 100% | 5.9 MiB/s | 36.0 KiB | 00m00s [122/153] p11-kit-0:0.25.5-4.fc42.s390x 100% | 84.4 MiB/s | 518.5 KiB | 00m00s [123/153] p11-kit-trust-0:0.25.5-4.fc42 100% | 35.0 MiB/s | 143.5 KiB | 00m00s [124/153] alternatives-0:1.31-1.fc42.s3 100% | 9.9 MiB/s | 40.4 KiB | 00m00s [125/153] add-determinism-0:0.4.3-1.fc4 100% | 135.1 MiB/s | 1.1 MiB | 00m00s [126/153] jansson-0:2.14-1.fc42.s390x 100% | 7.4 MiB/s | 45.3 KiB | 00m00s [127/153] lua-libs-0:5.4.7-1.fc42.s390x 100% | 27.7 MiB/s | 141.9 KiB | 00m00s [128/153] rpm-sequoia-0:1.7.0-3.fc42.s3 100% | 160.9 MiB/s | 988.6 KiB | 00m00s [129/153] libgomp-0:14.2.1-6.fc42.s390x 100% | 58.5 MiB/s | 359.2 KiB | 00m00s [130/153] sqlite-libs-0:3.47.2-1.fc42.s 100% | 105.4 MiB/s | 755.2 KiB | 00m00s [131/153] pcre2-syntax-0:10.44-1.fc41.1 100% | 36.6 MiB/s | 149.9 KiB | 00m00s [132/153] libtasn1-0:4.19.0-9.fc41.s390 100% | 25.4 MiB/s | 78.0 KiB | 00m00s [133/153] fedora-gpg-keys-0:42-0.3.noar 100% | 13.4 MiB/s | 123.4 KiB | 00m00s [134/153] elfutils-default-yama-scope-0 100% | 1.5 MiB/s | 12.5 KiB | 00m00s [135/153] json-c-0:0.18-1.fc42.s390x 100% | 14.5 MiB/s | 44.6 KiB | 00m00s [136/153] fedora-repos-rawhide-0:42-0.3 100% | 584.2 KiB/s | 8.8 KiB | 00m00s [137/153] xxhash-libs-0:0.8.2-4.fc42.s3 100% | 11.8 MiB/s | 36.2 KiB | 00m00s [138/153] fedora-release-0:42-0.11.noar 100% | 1.6 MiB/s | 13.0 KiB | 00m00s [139/153] libcurl-0:8.11.1-2.fc42.s390x 100% | 51.9 MiB/s | 372.4 KiB | 00m00s [140/153] fedora-release-identity-basic 100% | 1.3 MiB/s | 13.8 KiB | 00m00s [141/153] libbrotli-0:1.1.0-5.fc41.s390 100% | 74.6 MiB/s | 381.7 KiB | 00m00s [142/153] libidn2-0:2.3.7-2.fc41.s390x 100% | 27.5 MiB/s | 112.6 KiB | 00m00s [143/153] gdb-minimal-0:15.2-4.fc42.s39 100% | 180.1 MiB/s | 4.3 MiB | 00m00s [144/153] libnghttp2-0:1.64.0-1.fc42.s3 100% | 13.0 MiB/s | 79.8 KiB | 00m00s [145/153] libpsl-0:0.21.5-4.fc41.s390x 100% | 12.6 MiB/s | 64.5 KiB | 00m00s [146/153] libssh-0:0.11.1-1.fc42.s390x 100% | 74.8 MiB/s | 229.8 KiB | 00m00s [147/153] openldap-0:2.6.8-6.fc42.s390x 100% | 81.2 MiB/s | 249.3 KiB | 00m00s [148/153] libevent-0:2.1.12-14.fc41.s39 100% | 63.5 MiB/s | 260.1 KiB | 00m00s [149/153] cyrus-sasl-lib-0:2.1.28-27.fc 100% | 115.4 MiB/s | 827.5 KiB | 00m00s [150/153] libtool-ltdl-0:2.5.4-1.fc42.s 100% | 8.5 MiB/s | 34.6 KiB | 00m00s [151/153] libunistring-0:1.1-8.fc41.s39 100% | 109.1 MiB/s | 558.7 KiB | 00m00s [152/153] publicsuffix-list-dafsa-0:202 100% | 11.4 MiB/s | 58.3 KiB | 00m00s [153/153] libssh-config-0:0.11.1-1.fc42 100% | 722.0 KiB/s | 9.4 KiB | 00m00s -------------------------------------------------------------------------------- [153/153] Total 100% | 140.8 MiB/s | 52.7 MiB | 00m00s Running transaction [ 1/155] Verify package files 100% | 813.0 B/s | 153.0 B | 00m00s [ 2/155] Prepare transaction 100% | 2.9 KiB/s | 153.0 B | 00m00s [ 3/155] Installing libgcc-0:14.2.1-6. 100% | 166.9 MiB/s | 170.9 KiB | 00m00s [ 4/155] Installing publicsuffix-list- 100% | 0.0 B/s | 68.3 KiB | 00m00s [ 5/155] Installing libssh-config-0:0. 100% | 0.0 B/s | 816.0 B | 00m00s [ 6/155] Installing fedora-release-ide 100% | 0.0 B/s | 976.0 B | 00m00s [ 7/155] Installing fedora-gpg-keys-0: 100% | 42.0 MiB/s | 172.2 KiB | 00m00s [ 8/155] Installing fedora-repos-rawhi 100% | 0.0 B/s | 2.4 KiB | 00m00s [ 9/155] Installing fedora-repos-0:42- 100% | 0.0 B/s | 5.7 KiB | 00m00s [ 10/155] Installing fedora-release-com 100% | 23.6 MiB/s | 24.1 KiB | 00m00s [ 11/155] Installing fedora-release-0:4 100% | 0.0 B/s | 124.0 B | 00m00s [ 12/155] Installing setup-0:2.15.0-5.f 100% | 54.5 MiB/s | 726.1 KiB | 00m00s >>> [RPM] /etc/hosts created as /etc/hosts.rpmnew [ 13/155] Installing filesystem-0:3.18- 100% | 3.1 MiB/s | 212.6 KiB | 00m00s [ 14/155] Installing basesystem-0:11-21 100% | 0.0 B/s | 124.0 B | 00m00s [ 15/155] Installing pcre2-syntax-0:10. 100% | 248.1 MiB/s | 254.1 KiB | 00m00s [ 16/155] Installing coreutils-common-0 100% | 286.9 MiB/s | 11.2 MiB | 00m00s [ 17/155] Installing ncurses-base-0:6.5 100% | 85.9 MiB/s | 351.7 KiB | 00m00s [ 18/155] Installing glibc-minimal-lang 100% | 0.0 B/s | 124.0 B | 00m00s [ 19/155] Installing ncurses-libs-0:6.5 100% | 177.1 MiB/s | 1.1 MiB | 00m00s [ 20/155] Installing glibc-0:2.40.9000- 100% | 220.8 MiB/s | 5.1 MiB | 00m00s [ 21/155] Installing bash-0:5.2.37-1.fc 100% | 311.2 MiB/s | 8.4 MiB | 00m00s [ 22/155] Installing glibc-common-0:2.4 100% | 152.4 MiB/s | 1.1 MiB | 00m00s [ 23/155] Installing glibc-gconv-extra- 100% | 200.8 MiB/s | 6.6 MiB | 00m00s [ 24/155] Installing zlib-ng-compat-0:2 100% | 107.7 MiB/s | 110.3 KiB | 00m00s [ 25/155] Installing xz-libs-1:5.6.3-2. 100% | 221.9 MiB/s | 227.2 KiB | 00m00s [ 26/155] Installing bzip2-libs-0:1.0.8 100% | 0.0 B/s | 89.6 KiB | 00m00s [ 27/155] Installing libuuid-0:2.40.2-8 100% | 0.0 B/s | 42.3 KiB | 00m00s [ 28/155] Installing readline-0:8.2-11. 100% | 272.9 MiB/s | 558.9 KiB | 00m00s [ 29/155] Installing popt-0:1.19-7.fc41 100% | 73.9 MiB/s | 151.3 KiB | 00m00s [ 30/155] Installing libblkid-0:2.40.2- 100% | 280.8 MiB/s | 287.6 KiB | 00m00s [ 31/155] Installing libattr-0:2.5.2-4. 100% | 0.0 B/s | 29.3 KiB | 00m00s [ 32/155] Installing libacl-0:2.3.2-2.f 100% | 0.0 B/s | 44.6 KiB | 00m00s [ 33/155] Installing libxcrypt-0:4.4.36 100% | 267.5 MiB/s | 273.9 KiB | 00m00s [ 34/155] Installing libzstd-0:1.5.6-2. 100% | 214.1 MiB/s | 877.0 KiB | 00m00s [ 35/155] Installing elfutils-libelf-0: 100% | 293.7 MiB/s | 1.2 MiB | 00m00s [ 36/155] Installing gmp-1:6.3.0-2.fc41 100% | 251.4 MiB/s | 772.2 KiB | 00m00s [ 37/155] Installing libstdc++-0:14.2.1 100% | 282.2 MiB/s | 3.1 MiB | 00m00s [ 38/155] Installing libeconf-0:0.7.5-1 100% | 0.0 B/s | 64.2 KiB | 00m00s [ 39/155] Installing gdbm-libs-1:1.23-7 100% | 132.0 MiB/s | 135.1 KiB | 00m00s [ 40/155] Installing mpfr-0:4.2.1-5.fc4 100% | 228.0 MiB/s | 700.4 KiB | 00m00s [ 41/155] Installing gawk-0:5.3.0-4.fc4 100% | 259.2 MiB/s | 1.8 MiB | 00m00s [ 42/155] Installing dwz-0:0.15-8.fc42. 100% | 312.5 MiB/s | 320.0 KiB | 00m00s [ 43/155] Installing unzip-0:6.0-65.fc4 100% | 552.0 MiB/s | 2.2 MiB | 00m00s [ 44/155] Installing file-libs-0:5.45-8 100% | 523.3 MiB/s | 9.9 MiB | 00m00s [ 45/155] Installing file-0:5.45-8.fc42 100% | 14.1 MiB/s | 100.8 KiB | 00m00s [ 46/155] Installing crypto-policies-0: 100% | 32.0 MiB/s | 163.7 KiB | 00m00s [ 47/155] Installing libcap-ng-0:0.8.5- 100% | 76.7 MiB/s | 78.6 KiB | 00m00s [ 48/155] Installing audit-libs-0:4.0.2 100% | 172.4 MiB/s | 353.0 KiB | 00m00s [ 49/155] Installing pam-libs-0:1.7.0-3 100% | 121.8 MiB/s | 124.8 KiB | 00m00s [ 50/155] Installing libcap-0:2.71-1.fc 100% | 105.8 MiB/s | 216.7 KiB | 00m00s [ 51/155] Installing systemd-libs-0:257 100% | 224.6 MiB/s | 2.2 MiB | 00m00s [ 52/155] Installing libsmartcols-0:2.4 100% | 188.7 MiB/s | 193.2 KiB | 00m00s [ 53/155] Installing libcom_err-0:1.47. 100% | 0.0 B/s | 68.0 KiB | 00m00s [ 54/155] Installing libsepol-0:3.8-0.r 100% | 278.2 MiB/s | 854.7 KiB | 00m00s [ 55/155] Installing pcre2-0:10.44-1.fc 100% | 223.4 MiB/s | 686.3 KiB | 00m00s [ 56/155] Installing libselinux-0:3.8-0 100% | 195.9 MiB/s | 200.7 KiB | 00m00s [ 57/155] Installing sed-0:4.9-3.fc41.s 100% | 215.2 MiB/s | 881.4 KiB | 00m00s [ 58/155] Installing findutils-1:4.10.0 100% | 270.4 MiB/s | 1.9 MiB | 00m00s [ 59/155] Installing grep-0:3.11-9.fc41 100% | 203.7 MiB/s | 1.0 MiB | 00m00s [ 60/155] Installing xz-1:5.6.3-2.fc42. 100% | 206.8 MiB/s | 1.2 MiB | 00m00s [ 61/155] Installing libmount-0:2.40.2- 100% | 184.0 MiB/s | 376.9 KiB | 00m00s [ 62/155] Installing lz4-libs-0:1.10.0- 100% | 197.6 MiB/s | 202.4 KiB | 00m00s [ 63/155] Installing libffi-0:3.4.6-3.f 100% | 0.0 B/s | 67.3 KiB | 00m00s [ 64/155] Installing alternatives-0:1.3 100% | 0.0 B/s | 62.2 KiB | 00m00s [ 65/155] Installing lua-libs-0:5.4.7-1 100% | 322.3 MiB/s | 330.0 KiB | 00m00s [ 66/155] Installing libtasn1-0:4.19.0- 100% | 184.9 MiB/s | 189.3 KiB | 00m00s [ 67/155] Installing p11-kit-0:0.25.5-4 100% | 228.3 MiB/s | 2.5 MiB | 00m00s [ 68/155] Installing libunistring-0:1.1 100% | 253.3 MiB/s | 1.8 MiB | 00m00s [ 69/155] Installing libidn2-0:2.3.7-2. 100% | 109.0 MiB/s | 334.9 KiB | 00m00s [ 70/155] Installing libpsl-0:0.21.5-4. 100% | 0.0 B/s | 81.4 KiB | 00m00s [ 71/155] Installing p11-kit-trust-0:0. 100% | 67.1 MiB/s | 480.9 KiB | 00m00s [ 72/155] Installing openssl-libs-1:3.2 100% | 236.2 MiB/s | 6.1 MiB | 00m00s [ 73/155] Installing coreutils-0:9.5-11 100% | 229.0 MiB/s | 5.7 MiB | 00m00s [ 74/155] Installing ca-certificates-0: 100% | 1.7 MiB/s | 2.4 MiB | 00m01s [ 75/155] Installing gzip-0:1.13-2.fc41 100% | 132.3 MiB/s | 406.3 KiB | 00m00s [ 76/155] Installing authselect-libs-0: 100% | 136.5 MiB/s | 838.5 KiB | 00m00s [ 77/155] Installing cracklib-0:2.9.11- 100% | 85.1 MiB/s | 261.4 KiB | 00m00s [ 78/155] Installing libpwquality-0:1.4 100% | 105.8 MiB/s | 433.3 KiB | 00m00s [ 79/155] Installing rpm-sequoia-0:1.7. 100% | 263.3 MiB/s | 3.2 MiB | 00m00s [ 80/155] Installing libevent-0:2.1.12- 100% | 306.8 MiB/s | 942.6 KiB | 00m00s [ 81/155] Installing zstd-0:1.5.6-2.fc4 100% | 305.8 MiB/s | 1.8 MiB | 00m00s [ 82/155] Installing util-linux-core-0: 100% | 192.9 MiB/s | 1.5 MiB | 00m00s [ 83/155] Installing tar-2:1.35-4.fc41. 100% | 274.6 MiB/s | 3.0 MiB | 00m00s [ 84/155] Installing libsemanage-0:3.8- 100% | 149.8 MiB/s | 306.9 KiB | 00m00s [ 85/155] Installing shadow-utils-2:4.1 100% | 183.9 MiB/s | 4.0 MiB | 00m00s [ 86/155] Installing zip-0:3.0-42.fc42. 100% | 236.7 MiB/s | 727.0 KiB | 00m00s [ 87/155] Installing gdbm-1:1.23-7.fc41 100% | 238.7 MiB/s | 488.8 KiB | 00m00s [ 88/155] Installing cyrus-sasl-lib-0:2 100% | 298.6 MiB/s | 2.4 MiB | 00m00s [ 89/155] Installing libfdisk-0:2.40.2- 100% | 193.3 MiB/s | 395.9 KiB | 00m00s [ 90/155] Installing bzip2-0:1.0.8-19.f 100% | 101.3 MiB/s | 103.7 KiB | 00m00s [ 91/155] Installing libxml2-0:2.12.8-2 100% | 268.5 MiB/s | 1.9 MiB | 00m00s [ 92/155] Installing libarchive-0:3.7.7 100% | 249.5 MiB/s | 1.0 MiB | 00m00s [ 93/155] Installing add-determinism-0: 100% | 299.0 MiB/s | 3.3 MiB | 00m00s [ 94/155] Installing build-reproducibil 100% | 0.0 B/s | 1.0 KiB | 00m00s [ 95/155] Installing sqlite-libs-0:3.47 100% | 264.5 MiB/s | 1.6 MiB | 00m00s [ 96/155] Installing rpm-libs-0:4.20.0- 100% | 265.3 MiB/s | 815.1 KiB | 00m00s [ 97/155] Installing ed-0:1.20.2-2.fc41 100% | 149.3 MiB/s | 152.9 KiB | 00m00s [ 98/155] Installing patch-0:2.7.6-25.f 100% | 146.4 MiB/s | 299.9 KiB | 00m00s [ 99/155] Installing elfutils-default-y 100% | 408.6 KiB/s | 2.0 KiB | 00m00s [100/155] Installing elfutils-libs-0:0. 100% | 243.6 MiB/s | 748.4 KiB | 00m00s [101/155] Installing cpio-0:2.15-2.fc41 100% | 223.8 MiB/s | 1.1 MiB | 00m00s [102/155] Installing diffutils-0:3.10-8 100% | 271.4 MiB/s | 1.6 MiB | 00m00s [103/155] Installing libpkgconf-0:2.3.0 100% | 84.9 MiB/s | 87.0 KiB | 00m00s [104/155] Installing pkgconf-0:2.3.0-1. 100% | 92.7 MiB/s | 94.9 KiB | 00m00s [105/155] Installing keyutils-libs-0:1. 100% | 0.0 B/s | 55.6 KiB | 00m00s [106/155] Installing libverto-0:0.3.2-9 100% | 30.3 MiB/s | 31.1 KiB | 00m00s [107/155] Installing krb5-libs-0:1.21.3 100% | 241.7 MiB/s | 2.4 MiB | 00m00s [108/155] Installing libtirpc-0:1.3.6-1 100% | 104.6 MiB/s | 214.3 KiB | 00m00s [109/155] Installing pam-0:1.7.0-3.fc42 100% | 132.8 MiB/s | 1.6 MiB | 00m00s [110/155] Installing libssh-0:0.11.1-1. 100% | 191.2 MiB/s | 587.4 KiB | 00m00s [111/155] Installing jansson-0:2.14-1.f 100% | 92.1 MiB/s | 94.3 KiB | 00m00s [112/155] Installing libgomp-0:14.2.1-6 100% | 258.2 MiB/s | 528.8 KiB | 00m00s [113/155] Installing rpm-build-libs-0:4 100% | 214.1 MiB/s | 219.3 KiB | 00m00s [114/155] Installing json-c-0:0.18-1.fc 100% | 82.2 MiB/s | 84.1 KiB | 00m00s [115/155] Installing xxhash-libs-0:0.8. 100% | 0.0 B/s | 69.4 KiB | 00m00s [116/155] Installing libbrotli-0:1.1.0- 100% | 226.4 MiB/s | 927.4 KiB | 00m00s [117/155] Installing libnghttp2-0:1.64. 100% | 174.9 MiB/s | 179.1 KiB | 00m00s [118/155] Installing libtool-ltdl-0:2.5 100% | 0.0 B/s | 69.0 KiB | 00m00s [119/155] Installing openldap-0:2.6.8-6 100% | 214.3 MiB/s | 658.3 KiB | 00m00s [120/155] Installing libcurl-0:8.11.1-2 100% | 210.5 MiB/s | 862.1 KiB | 00m00s [121/155] Installing elfutils-debuginfo 100% | 73.5 MiB/s | 75.3 KiB | 00m00s [122/155] Installing binutils-0:2.43.50 100% | 322.5 MiB/s | 27.4 MiB | 00m00s [123/155] Installing elfutils-0:0.192-7 100% | 325.6 MiB/s | 2.9 MiB | 00m00s [124/155] Installing gdb-minimal-0:15.2 100% | 312.9 MiB/s | 14.7 MiB | 00m00s [125/155] Installing debugedit-0:5.1-2. 100% | 193.9 MiB/s | 198.5 KiB | 00m00s [126/155] Installing curl-0:8.11.1-2.fc 100% | 51.9 MiB/s | 478.3 KiB | 00m00s [127/155] Installing rpm-0:4.20.0-1.fc4 100% | 167.0 MiB/s | 2.5 MiB | 00m00s [128/155] Installing efi-srpm-macros-0: 100% | 0.0 B/s | 41.2 KiB | 00m00s [129/155] Installing lua-srpm-macros-0: 100% | 0.0 B/s | 1.9 KiB | 00m00s [130/155] Installing zig-srpm-macros-0: 100% | 0.0 B/s | 1.7 KiB | 00m00s [131/155] Installing pkgconf-m4-0:2.3.0 100% | 0.0 B/s | 14.8 KiB | 00m00s [132/155] Installing pkgconf-pkg-config 100% | 0.0 B/s | 1.8 KiB | 00m00s [133/155] Installing rust-srpm-macros-0 100% | 0.0 B/s | 5.6 KiB | 00m00s [134/155] Installing qt6-srpm-macros-0: 100% | 0.0 B/s | 732.0 B | 00m00s [135/155] Installing qt5-srpm-macros-0: 100% | 0.0 B/s | 776.0 B | 00m00s [136/155] Installing perl-srpm-macros-0 100% | 0.0 B/s | 1.1 KiB | 00m00s [137/155] Installing package-notes-srpm 100% | 0.0 B/s | 2.0 KiB | 00m00s [138/155] Installing openblas-srpm-macr 100% | 0.0 B/s | 392.0 B | 00m00s [139/155] Installing ocaml-srpm-macros- 100% | 0.0 B/s | 2.2 KiB | 00m00s [140/155] Installing kernel-srpm-macros 100% | 0.0 B/s | 2.3 KiB | 00m00s [141/155] Installing gnat-srpm-macros-0 100% | 0.0 B/s | 1.3 KiB | 00m00s [142/155] Installing ghc-srpm-macros-0: 100% | 0.0 B/s | 1.0 KiB | 00m00s [143/155] Installing fpc-srpm-macros-0: 100% | 0.0 B/s | 420.0 B | 00m00s [144/155] Installing ansible-srpm-macro 100% | 0.0 B/s | 36.2 KiB | 00m00s [145/155] Installing fonts-srpm-macros- 100% | 0.0 B/s | 57.0 KiB | 00m00s [146/155] Installing forge-srpm-macros- 100% | 0.0 B/s | 40.3 KiB | 00m00s [147/155] Installing go-srpm-macros-0:3 100% | 0.0 B/s | 62.0 KiB | 00m00s [148/155] Installing python-srpm-macros 100% | 0.0 B/s | 52.2 KiB | 00m00s [149/155] Installing redhat-rpm-config- 100% | 94.4 MiB/s | 193.2 KiB | 00m00s [150/155] Installing rpm-build-0:4.20.0 100% | 102.0 MiB/s | 209.0 KiB | 00m00s [151/155] Installing pyproject-srpm-mac 100% | 2.4 MiB/s | 2.5 KiB | 00m00s [152/155] Installing util-linux-0:2.40. 100% | 169.5 MiB/s | 3.7 MiB | 00m00s [153/155] Installing authselect-0:1.5.0 100% | 78.9 MiB/s | 161.7 KiB | 00m00s [154/155] Installing which-0:2.21-42.fc 100% | 84.1 MiB/s | 86.1 KiB | 00m00s [155/155] Installing info-0:7.1.1-2.fc4 100% | 229.3 KiB/s | 409.5 KiB | 00m02s Warning: skipped OpenPGP checks for 153 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.s390x alternatives-1.31-1.fc42.s390x ansible-srpm-macros-1-16.fc41.noarch audit-libs-4.0.2-1.fc41.s390x authselect-1.5.0-8.fc42.s390x authselect-libs-1.5.0-8.fc42.s390x basesystem-11-21.fc41.noarch bash-5.2.37-1.fc42.s390x binutils-2.43.50-9.fc42.s390x build-reproducibility-srpm-macros-0.4.3-1.fc42.noarch bzip2-1.0.8-19.fc41.s390x bzip2-libs-1.0.8-19.fc41.s390x ca-certificates-2024.2.69_v8.0.401-3.fc42.noarch coreutils-9.5-11.fc42.s390x coreutils-common-9.5-11.fc42.s390x cpio-2.15-2.fc41.s390x cracklib-2.9.11-6.fc41.s390x crypto-policies-20241128-1.gitbb7b0b0.fc42.noarch curl-8.11.1-2.fc42.s390x cyrus-sasl-lib-2.1.28-27.fc41.s390x debugedit-5.1-2.fc42.s390x diffutils-3.10-8.fc41.s390x dwz-0.15-8.fc42.s390x ed-1.20.2-2.fc41.s390x efi-srpm-macros-5-13.fc42.noarch elfutils-0.192-7.fc42.s390x elfutils-debuginfod-client-0.192-7.fc42.s390x elfutils-default-yama-scope-0.192-7.fc42.noarch elfutils-libelf-0.192-7.fc42.s390x elfutils-libs-0.192-7.fc42.s390x 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.s390x file-libs-5.45-8.fc42.s390x filesystem-3.18-29.fc42.s390x findutils-4.10.0-4.fc41.s390x 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.s390x gdb-minimal-15.2-4.fc42.s390x gdbm-1.23-7.fc41.s390x gdbm-libs-1.23-7.fc41.s390x ghc-srpm-macros-1.9.2-1.fc42.noarch glibc-2.40.9000-24.fc42.s390x glibc-common-2.40.9000-24.fc42.s390x glibc-gconv-extra-2.40.9000-24.fc42.s390x glibc-minimal-langpack-2.40.9000-24.fc42.s390x gmp-6.3.0-2.fc41.s390x gnat-srpm-macros-6-6.fc41.noarch go-srpm-macros-3.6.0-5.fc42.noarch grep-3.11-9.fc41.s390x gzip-1.13-2.fc41.s390x info-7.1.1-2.fc42.s390x jansson-2.14-1.fc42.s390x json-c-0.18-1.fc42.s390x kernel-srpm-macros-1.0-24.fc41.noarch keyutils-libs-1.6.3-4.fc41.s390x krb5-libs-1.21.3-3.fc42.s390x libacl-2.3.2-2.fc41.s390x libarchive-3.7.7-1.fc42.s390x libattr-2.5.2-4.fc41.s390x libblkid-2.40.2-8.fc42.s390x libbrotli-1.1.0-5.fc41.s390x libcap-2.71-1.fc42.s390x libcap-ng-0.8.5-3.fc41.s390x libcom_err-1.47.1-6.fc42.s390x libcurl-8.11.1-2.fc42.s390x libeconf-0.7.5-1.fc42.s390x libevent-2.1.12-14.fc41.s390x libfdisk-2.40.2-8.fc42.s390x libffi-3.4.6-3.fc42.s390x libgcc-14.2.1-6.fc42.s390x libgomp-14.2.1-6.fc42.s390x libidn2-2.3.7-2.fc41.s390x libmount-2.40.2-8.fc42.s390x libnghttp2-1.64.0-1.fc42.s390x libpkgconf-2.3.0-1.fc42.s390x libpsl-0.21.5-4.fc41.s390x libpwquality-1.4.5-11.fc41.s390x libselinux-3.8-0.rc1.2.fc42.s390x libsemanage-3.8-0.rc1.1.fc42.s390x libsepol-3.8-0.rc1.1.fc42.s390x libsmartcols-2.40.2-8.fc42.s390x libssh-0.11.1-1.fc42.s390x libssh-config-0.11.1-1.fc42.noarch libstdc++-14.2.1-6.fc42.s390x libtasn1-4.19.0-9.fc41.s390x libtirpc-1.3.6-1.fc42.s390x libtool-ltdl-2.5.4-1.fc42.s390x libunistring-1.1-8.fc41.s390x libuuid-2.40.2-8.fc42.s390x libverto-0.3.2-9.fc41.s390x libxcrypt-4.4.36-11.fc42.s390x libxml2-2.12.8-2.fc41.s390x libzstd-1.5.6-2.fc41.s390x lua-libs-5.4.7-1.fc42.s390x lua-srpm-macros-1-14.fc41.noarch lz4-libs-1.10.0-1.fc41.s390x mpfr-4.2.1-5.fc41.s390x ncurses-base-6.5-2.20240629.fc41.noarch ncurses-libs-6.5-2.20240629.fc41.s390x ocaml-srpm-macros-10-3.fc41.noarch openblas-srpm-macros-2-18.fc41.noarch openldap-2.6.8-6.fc42.s390x openssl-libs-3.2.2-8.fc42.s390x p11-kit-0.25.5-4.fc42.s390x p11-kit-trust-0.25.5-4.fc42.s390x package-notes-srpm-macros-0.5-12.fc41.noarch pam-1.7.0-3.fc42.s390x pam-libs-1.7.0-3.fc42.s390x patch-2.7.6-25.fc41.s390x pcre2-10.44-1.fc41.1.s390x pcre2-syntax-10.44-1.fc41.1.noarch perl-srpm-macros-1-56.fc41.noarch pkgconf-2.3.0-1.fc42.s390x pkgconf-m4-2.3.0-1.fc42.noarch pkgconf-pkg-config-2.3.0-1.fc42.s390x popt-1.19-7.fc41.s390x 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.s390x redhat-rpm-config-296-1.fc42.noarch rpm-4.20.0-1.fc42.s390x rpm-build-4.20.0-1.fc42.s390x rpm-build-libs-4.20.0-1.fc42.s390x rpm-libs-4.20.0-1.fc42.s390x rpm-sequoia-1.7.0-3.fc42.s390x rust-srpm-macros-26.3-3.fc42.noarch sed-4.9-3.fc41.s390x setup-2.15.0-5.fc41.noarch shadow-utils-4.17.0~rc1-1.fc42.s390x sqlite-libs-3.47.2-1.fc42.s390x systemd-libs-257-1.fc42.s390x tar-1.35-4.fc41.s390x unzip-6.0-65.fc42.s390x util-linux-2.40.2-8.fc42.s390x util-linux-core-2.40.2-8.fc42.s390x which-2.21-42.fc41.s390x xxhash-libs-0.8.2-4.fc42.s390x xz-5.6.3-2.fc42.s390x xz-libs-5.6.3-2.fc42.s390x zig-srpm-macros-1-3.fc41.noarch zip-3.0-42.fc42.s390x zlib-ng-compat-2.2.2-1.fc42.s390x zstd-1.5.6-2.fc41.s390x Start: buildsrpm Start: rpmbuild -bs Building target platforms: s390x Building for target s390x 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-s390x-1734624735.142109/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-guodrnc3/python-scikit-learn/python-scikit-learn.spec) Config(child) 0 minutes 29 seconds INFO: Results and/or logs in: /var/lib/copr-rpmbuild/results INFO: Cleaning up build root ('cleanup_on_success=True') Start: clean chroot INFO: unmounting tmpfs. Finish: clean chroot INFO: Start(/var/lib/copr-rpmbuild/results/python-scikit-learn-1.6.0-1.fc42.src.rpm) Config(fedora-rawhide-s390x) Start(bootstrap): chroot init INFO: mounting tmpfs at /var/lib/mock/fedora-rawhide-s390x-bootstrap-1734624735.142109/root. INFO: reusing tmpfs at /var/lib/mock/fedora-rawhide-s390x-bootstrap-1734624735.142109/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-s390x-1734624735.142109/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.s390x rpm-sequoia-1.7.0-3.fc42.s390x dnf5-5.2.8.1-2.fc42.s390x dnf5-plugins-5.2.8.1-2.fc42.s390x 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: s390x Building for target s390x setting SOURCE_DATE_EPOCH=1734566400 Wrote: /builddir/build/SRPMS/python-scikit-learn-1.6.0-1.fc42.src.rpm Updating and loading repositories: fedora 100% | 11.8 KiB/s | 3.0 KiB | 00m00s Additional repo http_kojipkgs_fedorapr 100% | 182.3 KiB/s | 3.8 KiB | 00m00s Copr repository 100% | 76.6 KiB/s | 1.5 KiB | 00m00s Repositories loaded. Package Arch Version Repository Size Installing: gcc s390x 14.2.1-6.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 78.2 MiB gcc-c++ s390x 14.2.1-6.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 29.5 MiB python3-devel s390x 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 s390x 12.79-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 985.0 KiB cpp s390x 14.2.1-6.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 26.2 MiB expat s390x 2.6.4-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 308.9 KiB gcc-plugin-annobin s390x 14.2.1-6.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 57.1 KiB glibc-devel s390x 2.40.9000-24.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 2.6 MiB kernel-headers s390x 6.13.0-0.rc3.29.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 6.5 MiB libasan s390x 14.2.1-6.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.6 MiB libatomic s390x 14.2.1-6.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 28.3 KiB libb2 s390x 0.98.1-12.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 42.0 KiB libmpc s390x 1.3.1-6.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 164.5 KiB libstdc++-devel s390x 14.2.1-6.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 15.2 MiB libubsan s390x 14.2.1-6.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 487.2 KiB libxcrypt-devel s390x 4.4.36-11.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 30.5 KiB make s390x 1:4.4.1-9.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.9 MiB mpdecimal s390x 2.5.1-16.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 224.7 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 s390x 3.13.1-2.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 22.4 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 s390x 3.13.1-2.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 40.0 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: 35 packages Total size of inbound packages is 75 MiB. Need to download 75 MiB. After this operation, 241 MiB extra will be used (install 241 MiB, remove 0 B). [ 1/35] python3-devel-0:3.13.1-2.fc42.s 100% | 12.0 MiB/s | 357.7 KiB | 00m00s [ 2/35] python3-joblib-0:1.4.2-3.fc41.n 100% | 43.1 MiB/s | 529.1 KiB | 00m00s [ 3/35] gcc-c++-0:14.2.1-6.fc42.s390x 100% | 184.3 MiB/s | 11.8 MiB | 00m00s [ 4/35] python3-setuptools-0:74.1.3-4.f 100% | 78.9 MiB/s | 1.8 MiB | 00m00s [ 5/35] python3-threadpoolctl-0:3.5.0-4 100% | 10.9 MiB/s | 44.4 KiB | 00m00s [ 6/35] python3-0:3.13.1-2.fc42.s390x 100% | 3.2 MiB/s | 26.6 KiB | 00m00s [ 7/35] python3-pytest-0:8.3.4-1.fc42.n 100% | 144.2 MiB/s | 2.0 MiB | 00m00s [ 8/35] python3-iniconfig-0:1.1.1-23.fc 100% | 2.9 MiB/s | 18.1 KiB | 00m00s [ 9/35] python3-packaging-0:24.2-2.fc42 100% | 35.1 MiB/s | 143.6 KiB | 00m00s [10/35] python3-pluggy-0:1.5.0-1.fc41.n 100% | 17.3 MiB/s | 53.1 KiB | 00m00s [11/35] python3-cloudpickle-0:3.1.0-2.f 100% | 15.4 MiB/s | 47.2 KiB | 00m00s [12/35] libmpc-0:1.3.1-6.fc41.s390x 100% | 10.2 MiB/s | 73.3 KiB | 00m00s [13/35] libstdc++-devel-0:14.2.1-6.fc42 100% | 109.7 MiB/s | 2.6 MiB | 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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: s390x Building for target s390x setting SOURCE_DATE_EPOCH=1734566400 Executing(%mkbuilddir): /bin/sh -e /var/tmp/rpm-tmp.9Vvb5g + 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.l10UkZ + 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.STgg6g + 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=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection ' + 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=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection ' + 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=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection -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=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection -I/usr/lib64/gfortran/modules ' + VALAFLAGS=-g + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -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.s390x-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.s390x-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% | 116.2 KiB/s | 3.0 KiB | 00m00s Copr repository 100% | 95.7 KiB/s | 1.5 KiB | 00m00s Additional repo http_kojipkgs_fedorapr 100% | 191.4 KiB/s | 3.8 KiB | 00m00s Repositories loaded. Package "gcc-14.2.1-6.fc42.s390x" is already installed. Package "gcc-c++-14.2.1-6.fc42.s390x" is already installed. Package "pyproject-rpm-macros-1.16.3-1.fc42.noarch" is already installed. Package "python3-devel-3.13.1-2.fc42.s390x" 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 s390x 3.0.11-1.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 18.3 MiB python3-meson-python noarch 0.17.1-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 277.7 KiB python3-numpy s390x 1:2.2.0-3.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 36.0 MiB python3-pip noarch 24.3.1-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 11.3 MiB python3-scipy s390x 1.14.1-2.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 68.0 MiB Installing dependencies: emacs-filesystem noarch 1:30.0-3.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 0.0 B flexiblas s390x 3.4.4-3.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 48.5 KiB flexiblas-netlib s390x 3.4.4-3.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 12.4 MiB flexiblas-openblas-openmp s390x 3.4.4-3.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 43.1 KiB libgfortran s390x 14.2.1-6.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 2.2 MiB meson noarch 1.6.1-1.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 11.4 MiB ninja-build s390x 1.12.1-3.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 439.5 KiB openblas s390x 0.3.28-2.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 106.6 KiB openblas-openmp s390x 0.3.28-2.fc42 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 15.2 MiB patchelf s390x 0.18.0-5.fc41 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 294.9 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 s390x 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: 24 packages Total size of inbound packages is 43 MiB. Need to download 43 MiB. After this operation, 181 MiB extra will be used (install 181 MiB, remove 0 B). [ 1/24] python3-meson-python-0:0.17.1-1 100% | 2.6 MiB/s | 81.2 KiB | 00m00s [ 2/24] python3-pip-0:24.3.1-1.fc42.noa 100% | 139.7 MiB/s | 2.5 MiB | 00m00s [ 3/24] python3-numpy-1:2.2.0-3.fc42.s3 100% | 125.8 MiB/s | 6.8 MiB | 00m00s [ 4/24] flexiblas-netlib-0:3.4.4-3.fc41 100% | 168.9 MiB/s | 3.9 MiB | 00m00s [ 5/24] libgfortran-0:14.2.1-6.fc42.s39 100% | 60.1 MiB/s | 614.9 KiB | 00m00s [ 6/24] python3-numpy-f2py-1:2.2.0-3.fc 100% | 43.8 MiB/s | 448.3 KiB | 00m00s [ 7/24] python3-scipy-0:1.14.1-2.fc42.s 100% | 251.2 MiB/s | 17.3 MiB | 00m00s [ 8/24] python3-pooch-0:1.8.2-3.fc41.no 100% | 6.5 MiB/s | 126.4 KiB | 00m00s [ 9/24] python3-cython-0:3.0.11-1.fc41. 100% | 31.5 MiB/s | 3.9 MiB | 00m00s [10/24] python3-platformdirs-0:4.2.2-2. 100% | 10.0 MiB/s | 41.0 KiB | 00m00s [11/24] python3-requests-0:2.32.3-3.fc4 100% | 20.8 MiB/s | 149.0 KiB | 00m00s [12/24] patchelf-0:0.18.0-5.fc41.s390x 100% | 25.4 MiB/s | 129.8 KiB | 00m00s [13/24] python3-pyproject-metadata-0:0. 100% | 7.6 MiB/s | 31.3 KiB | 00m00s [14/24] ninja-build-0:1.12.1-3.fc41.s39 100% | 29.2 MiB/s | 179.5 KiB | 00m00s [15/24] flexiblas-0:3.4.4-3.fc41.s390x 100% | 6.2 MiB/s | 25.2 KiB | 00m00s [16/24] flexiblas-openblas-openmp-0:3.4 100% | 4.2 MiB/s | 17.3 KiB | 00m00s [17/24] meson-0:1.6.1-1.fc42.noarch 100% | 115.3 MiB/s | 2.1 MiB | 00m00s [18/24] python3-charset-normalizer-0:3. 100% | 16.5 MiB/s | 101.4 KiB | 00m00s [19/24] python3-idna-0:3.10-1.fc42.noar 100% | 27.3 MiB/s | 111.7 KiB | 00m00s [20/24] emacs-filesystem-1:30.0-3.fc41. 100% | 2.3 MiB/s | 7.1 KiB | 00m00s [21/24] python3-urllib3-0:2.2.3-3.fc42. 100% | 50.6 MiB/s | 259.0 KiB | 00m00s [22/24] openblas-0:0.3.28-2.fc42.s390x 100% | 10.0 MiB/s | 40.9 KiB | 00m00s [23/24] vim-filesystem-2:9.1.919-1.fc42 100% | 1.5 MiB/s | 16.4 KiB | 00m00s [24/24] openblas-openmp-0:0.3.28-2.fc42 100% | 226.2 MiB/s | 4.3 MiB | 00m00s -------------------------------------------------------------------------------- [24/24] Total 100% | 259.6 MiB/s | 43.1 MiB | 00m00s Running transaction [ 1/26] Verify package files 100% | 179.0 B/s | 24.0 B | 00m00s [ 2/26] Prepare transaction 100% | 363.0 B/s | 24.0 B | 00m00s [ 3/26] Installing libgfortran-0:14.2.1 100% | 270.4 MiB/s | 2.2 MiB | 00m00s [ 4/26] Installing python3-idna-0:3.10- 100% | 206.5 MiB/s | 634.3 KiB | 00m00s [ 5/26] Installing python3-urllib3-0:2. 100% | 200.3 MiB/s | 1.0 MiB | 00m00s [ 6/26] Installing openblas-0:0.3.28-2. 100% | 0.0 B/s | 108.3 KiB | 00m00s [ 7/26] Installing openblas-openmp-0:0. 100% | 276.1 MiB/s | 15.2 MiB | 00m00s [ 8/26] Installing flexiblas-0:3.4.4-3. 100% | 0.0 B/s | 49.7 KiB | 00m00s [ 9/26] Installing flexiblas-openblas-o 100% | 0.0 B/s | 44.0 KiB | 00m00s [10/26] Installing flexiblas-netlib-0:3 100% | 269.5 MiB/s | 12.4 MiB | 00m00s [11/26] Installing python3-numpy-f2py-1 100% | 137.8 MiB/s | 2.1 MiB | 00m00s [12/26] Installing python3-numpy-1:2.2. 100% | 286.0 MiB/s | 36.3 MiB | 00m00s [13/26] Installing vim-filesystem-2:9.1 100% | 0.0 B/s | 4.7 KiB | 00m00s [14/26] Installing emacs-filesystem-1:3 100% | 0.0 B/s | 544.0 B | 00m00s [15/26] Installing ninja-build-0:1.12.1 100% | 108.1 MiB/s | 442.7 KiB | 00m00s [16/26] Installing meson-0:1.6.1-1.fc42 100% | 262.2 MiB/s | 11.5 MiB | 00m00s [17/26] Installing python3-charset-norm 100% | 161.0 MiB/s | 329.8 KiB | 00m00s [18/26] Installing python3-requests-0:2 100% | 162.1 MiB/s | 498.0 KiB | 00m00s [19/26] Installing python3-pyproject-me 100% | 92.7 MiB/s | 95.0 KiB | 00m00s [20/26] Installing patchelf-0:0.18.0-5. 100% | 144.9 MiB/s | 296.7 KiB | 00m00s [21/26] Installing python3-platformdirs 100% | 170.9 MiB/s | 175.0 KiB | 00m00s [22/26] Installing python3-pooch-0:1.8. 100% | 89.4 MiB/s | 640.5 KiB | 00m00s [23/26] Installing python3-scipy-0:1.14 100% | 275.7 MiB/s | 68.4 MiB | 00m00s [24/26] Installing python3-meson-python 100% | 69.3 MiB/s | 283.7 KiB | 00m00s [25/26] Installing python3-pip-0:24.3.1 100% | 187.4 MiB/s | 11.6 MiB | 00m00s [26/26] Installing python3-cython-0:3.0 100% | 204.8 MiB/s | 18.4 MiB | 00m00s Warning: skipped OpenPGP checks for 24 packages from repository: http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch Complete! Building target platforms: s390x Building for target s390x setting SOURCE_DATE_EPOCH=1734566400 Executing(%generate_buildrequires): /bin/sh -e /var/tmp/rpm-tmp.Rtq9XH + 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=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection ' + 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=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection ' + 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=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection -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=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection -I/usr/lib64/gfortran/modules ' + VALAFLAGS=-g + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -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.s390x-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.s390x-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% | 13.7 KiB/s | 3.0 KiB | 00m00s Additional repo http_kojipkgs_fedorapr 100% | 166.4 KiB/s | 3.8 KiB | 00m00s Copr repository 100% | 95.7 KiB/s | 1.5 KiB | 00m00s Repositories loaded. Package "gcc-14.2.1-6.fc42.s390x" is already installed. Package "gcc-c++-14.2.1-6.fc42.s390x" is already installed. Package "pyproject-rpm-macros-1.16.3-1.fc42.noarch" is already installed.Nothing to do. Package "python3-devel-3.13.1-2.fc42.s390x" is already installed. Package "python3-cython-3.0.11-1.fc41.s390x" 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.s390x" is already installed. Package "python3-numpy-1:2.2.0-3.fc42.s390x" 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.s390x" 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: s390x Building for target s390x setting SOURCE_DATE_EPOCH=1734566400 Executing(%generate_buildrequires): /bin/sh -e /var/tmp/rpm-tmp.Qkw60Y + 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=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection ' + 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=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection ' + 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=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection -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=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection -I/usr/lib64/gfortran/modules ' + VALAFLAGS=-g + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -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.s390x-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.s390x-pyproject-buildrequires + rm -rfv '*.dist-info/' + RPM_EC=0 ++ jobs -p + exit 0 Executing(%build): /bin/sh -e /var/tmp/rpm-tmp.bn2r6s + 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=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection ' + 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=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection ' + 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=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection -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=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection -I/usr/lib64/gfortran/modules ' + export FCFLAGS + VALAFLAGS=-g + export VALAFLAGS + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + export RUSTFLAGS + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -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=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection ' + 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=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection ' + 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=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection -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=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection -I/usr/lib64/gfortran/modules ' + VALAFLAGS=-g + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -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-cn7b4u0m -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-cn7b4u0m/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-cn7b4u0m 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: s390x Host machine cpu: s390x 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-cn7b4u0m/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/__init__.py [2/251] Copying file sklearn/utils/__init__.py [3/251] Copying file sklearn/_loss/_loss.pxd [4/251] Copying file sklearn/utils/_cython_blas.pxd [5/251] Copying file sklearn/utils/_heap.pxd [6/251] Copying file sklearn/utils/_random.pxd [7/251] Copying file sklearn/utils/_openmp_helpers.pxd [8/251] Copying file sklearn/utils/_sorting.pxd [9/251] Copying file sklearn/utils/_typedefs.pxd [10/251] Generating sklearn/utils/_weight_vector_pxd with a custom command [11/251] Generating sklearn/utils/_seq_dataset_pxd with a custom command [12/251] Copying file sklearn/utils/_vector_sentinel.pxd [13/251] Generating sklearn/metrics/_dist_metrics_pxd with a custom command [14/251] Copying file sklearn/metrics/__init__.py [15/251] Generating sklearn/metrics/_pairwise_distances_reduction/_datasets_pair_pxd with a custom command [16/251] Copying file sklearn/metrics/_pairwise_distances_reduction/__init__.py [17/251] Copying file sklearn/metrics/_pairwise_distances_reduction/_classmode.pxd [18/251] Generating sklearn/metrics/_pairwise_distances_reduction/_base_pxd with a custom command [19/251] Generating sklearn/metrics/_pairwise_distances_reduction/_argkmin_pxd with a custom command [20/251] Generating sklearn/metrics/_pairwise_distances_reduction/_middle_term_computer_pxd with a custom command [21/251] Generating sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors_pxd with a custom command [22/251] Generating sklearn/neighbors/_binary_tree_pxi with a custom command [23/251] Copying file sklearn/linear_model/__init__.py [24/251] Generating sklearn/_loss/_loss_pyx with a custom command [25/251] Copying file sklearn/neighbors/__init__.py [26/251] Copying file sklearn/neighbors/_partition_nodes.pxd [27/251] Generating sklearn/utils/_weight_vector_pyx with a custom command [28/251] Generating sklearn/utils/_seq_dataset_pyx with a custom command [29/251] Generating sklearn/metrics/_pairwise_distances_reduction/_base_pyx with a custom command [30/251] Generating sklearn/metrics/_dist_metrics_pyx with a custom command [31/251] Generating sklearn/metrics/_pairwise_distances_reduction/_datasets_pair_pyx with a custom command [32/251] Generating sklearn/metrics/_pairwise_distances_reduction/_argkmin_pyx with a custom command [33/251] Generating sklearn/metrics/_pairwise_distances_reduction/_middle_term_computer_pyx with a custom command [34/251] Generating sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors_pyx with a custom command [35/251] Generating sklearn/metrics/_pairwise_distances_reduction/_argkmin_classmode_pyx with a custom command [36/251] Generating sklearn/linear_model/_sag_fast_pyx with a custom command [37/251] Generating sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors_classmode_pyx with a custom command [38/251] Generating sklearn/linear_model/_sgd_fast_pyx with a custom command [39/251] Generating sklearn/neighbors/_ball_tree_pyx with a custom command [40/251] Generating sklearn/neighbors/_kd_tree_pyx with a custom command [41/251] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/__check_build/_check_build.pyx [42/251] Compiling Cython source 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/builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/utils/_random.pyx [50/251] Compiling Cython source sklearn/_loss/_loss.pyx [51/251] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/utils/_heap.pyx [52/251] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/utils/_sorting.pyx [53/251] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/utils/_typedefs.pyx [54/251] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/utils/_vector_sentinel.pyx [55/251] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/utils/_isfinite.pyx [56/251] Compiling Cython source sklearn/utils/_seq_dataset.pyx [57/251] Compiling Cython source sklearn/utils/_weight_vector.pyx [58/251] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/metrics/_pairwise_fast.pyx [59/251] Compiling Cython source sklearn/metrics/_pairwise_distances_reduction/_datasets_pair.pyx [60/251] Compiling Cython source sklearn/metrics/_dist_metrics.pyx warning: sklearn/metrics/_dist_metrics.pyx:855:44: Assigning to 'float64_t *' from 'const float64_t *' discards const qualifier warning: sklearn/metrics/_dist_metrics.pyx:918:40: Assigning to 'float64_t *' from 'const float64_t *' discards const qualifier warning: sklearn/metrics/_dist_metrics.pyx:3435:44: Assigning to 'float32_t *' from 'const float32_t *' discards const qualifier warning: sklearn/metrics/_dist_metrics.pyx:3498:40: Assigning to 'float32_t *' from 'const float32_t *' discards const qualifier [61/251] Compiling Cython source sklearn/metrics/_pairwise_distances_reduction/_base.pyx [62/251] Compiling Cython source sklearn/metrics/_pairwise_distances_reduction/_argkmin.pyx [63/251] Compiling Cython source sklearn/metrics/_pairwise_distances_reduction/_middle_term_computer.pyx [64/251] Compiling Cython source sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors.pyx [65/251] Compiling Cython source sklearn/metrics/_pairwise_distances_reduction/_argkmin_classmode.pyx [66/251] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/metrics/cluster/_expected_mutual_info_fast.pyx [67/251] Compiling Cython source sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors_classmode.pyx [68/251] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/cluster/_dbscan_inner.pyx [69/251] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/cluster/_k_means_common.pyx [70/251] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/cluster/_hierarchical_fast.pyx [71/251] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/cluster/_k_means_lloyd.pyx [72/251] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/cluster/_k_means_minibatch.pyx [73/251] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/cluster/_k_means_elkan.pyx [74/251] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/cluster/_hdbscan/_linkage.pyx [75/251] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/cluster/_hdbscan/_reachability.pyx [76/251] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/cluster/_hdbscan/_tree.pyx [77/251] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/decomposition/_online_lda_fast.pyx [78/251] 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/builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/ensemble/_hist_gradient_boosting/splitting.pyx [85/251] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/ensemble/_hist_gradient_boosting/_predictor.pyx [86/251] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/ensemble/_hist_gradient_boosting/common.pyx [87/251] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/ensemble/_hist_gradient_boosting/_bitset.pyx [88/251] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/feature_extraction/_hashing_fast.pyx [89/251] Compiling Cython source sklearn/linear_model/_sgd_fast.pyx [90/251] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/linear_model/_cd_fast.pyx [91/251] Compiling Cython source sklearn/linear_model/_sag_fast.pyx [92/251] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/manifold/_utils.pyx [93/251] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/manifold/_barnes_hut_tsne.pyx [94/251] Compiling Cython source /builddir/build/BUILD/python-scikit-learn-1.6.0-build/scikit_learn-1.6.0/sklearn/neighbors/_partition_nodes.pyx [95/251] Compiling Cython source sklearn/neighbors/_ball_tree.pyx warning: sklearn/neighbors/_binary_tree.pxi:1092:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:1958:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2053:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2222:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2345:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2402:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2403:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2728:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:3594:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:3689:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:3858:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:3981:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:4038:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:4039:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_ball_tree.pyx:105:9: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_ball_tree.pyx:107:9: Assigning to 'float64_t *' from 'const float64_t *' discards const qualifier warning: sklearn/neighbors/_ball_tree.pyx:308:9: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_ball_tree.pyx:310:9: Assigning to 'float32_t *' from 'const float32_t *' discards const qualifier [96/251] Compiling Cython source sklearn/neighbors/_kd_tree.pyx warning: sklearn/neighbors/_binary_tree.pxi:1092:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:1958:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2053:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2222:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2345:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2402:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2403:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2728:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:3594:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:3689:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:3858:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:3981:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:4038:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:4039:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_kd_tree.pyx:74:9: Assigning to 'float64_t *' from 'const float64_t *' discards const qualifier warning: sklearn/neighbors/_kd_tree.pyx:75:9: Assigning to 'float64_t *' from 'const float64_t *' discards const qualifier warning: sklearn/neighbors/_kd_tree.pyx:342:9: Assigning to 'float32_t *' from 'const float32_t *' discards const qualifier warning: sklearn/neighbors/_kd_tree.pyx:343:9: Assigning to 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sklearn/utils/arrayfuncs.cpython-313-s390x-linux-gnu.so.p/meson-generated_sklearn_utils_arrayfuncs.pyx.c.o [119/251] Compiling C object sklearn/utils/_openmp_helpers.cpython-313-s390x-linux-gnu.so.p/meson-generated_sklearn_utils__openmp_helpers.pyx.c.o [120/251] Compiling C++ object sklearn/utils/_fast_dict.cpython-313-s390x-linux-gnu.so.p/meson-generated_sklearn_utils__fast_dict.pyx.cpp.o [121/251] Compiling C object sklearn/utils/_typedefs.cpython-313-s390x-linux-gnu.so.p/meson-generated_sklearn_utils__typedefs.pyx.c.o [122/251] Compiling C object sklearn/utils/_random.cpython-313-s390x-linux-gnu.so.p/meson-generated_sklearn_utils__random.pyx.c.o [123/251] Compiling C object sklearn/utils/_heap.cpython-313-s390x-linux-gnu.so.p/meson-generated_sklearn_utils__heap.pyx.c.o [124/251] Compiling C object sklearn/utils/_sorting.cpython-313-s390x-linux-gnu.so.p/meson-generated_sklearn_utils__sorting.pyx.c.o [125/251] Compiling C++ object sklearn/utils/_vector_sentinel.cpython-313-s390x-linux-gnu.so.p/meson-generated_sklearn_utils__vector_sentinel.pyx.cpp.o [126/251] Compiling C object sklearn/utils/_isfinite.cpython-313-s390x-linux-gnu.so.p/meson-generated_sklearn_utils__isfinite.pyx.c.o [127/251] Compiling C object sklearn/utils/_seq_dataset.cpython-313-s390x-linux-gnu.so.p/meson-generated_sklearn_utils__seq_dataset.pyx.c.o [128/251] Compiling C object sklearn/utils/_weight_vector.cpython-313-s390x-linux-gnu.so.p/meson-generated_sklearn_utils__weight_vector.pyx.c.o [129/251] Compiling C object sklearn/metrics/_pairwise_fast.cpython-313-s390x-linux-gnu.so.p/meson-generated_sklearn_metrics__pairwise_fast.pyx.c.o [130/251] Compiling C object sklearn/_loss/_loss.cpython-313-s390x-linux-gnu.so.p/meson-generated_sklearn__loss__loss.pyx.c.o [131/251] Compiling C object sklearn/metrics/_dist_metrics.cpython-313-s390x-linux-gnu.so.p/meson-generated_sklearn_metrics__dist_metrics.pyx.c.o sklearn/metrics/_dist_metrics.cpython-313-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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)); | ^ [132/251] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_base.cpython-313-s390x-linux-gnu.so.p/meson-generated_sklearn_metrics__pairwise_distances_reduction__base.pyx.cpp.o [133/251] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_datasets_pair.cpython-313-s390x-linux-gnu.so.p/meson-generated_sklearn_metrics__pairwise_distances_reduction__datasets_pair.pyx.cpp.o [134/251] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_argkmin.cpython-313-s390x-linux-gnu.so.p/meson-generated_sklearn_metrics__pairwise_distances_reduction__argkmin.pyx.cpp.o [135/251] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors.cpython-313-s390x-linux-gnu.so.p/meson-generated_sklearn_metrics__pairwise_distances_reduction__radius_neighbors.pyx.cpp.o [136/251] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_middle_term_computer.cpython-313-s390x-linux-gnu.so.p/meson-generated_sklearn_metrics__pairwise_distances_reduction__middle_term_computer.pyx.cpp.o [137/251] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_argkmin_classmode.cpython-313-s390x-linux-gnu.so.p/meson-generated_sklearn_metrics__pairwise_distances_reduction__argkmin_classmode.pyx.cpp.o [138/251] Compiling C object sklearn/metrics/cluster/_expected_mutual_info_fast.cpython-313-s390x-linux-gnu.so.p/meson-generated_sklearn_metrics_cluster__expected_mutual_info_fast.pyx.c.o [139/251] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors_classmode.cpython-313-s390x-linux-gnu.so.p/meson-generated_sklearn_metrics__pairwise_distances_reduction__radius_neighbors_classmode.pyx.cpp.o [140/251] Compiling C++ object sklearn/cluster/_dbscan_inner.cpython-313-s390x-linux-gnu.so.p/meson-generated_sklearn_cluster__dbscan_inner.pyx.cpp.o [141/251] Compiling C++ object sklearn/cluster/_hierarchical_fast.cpython-313-s390x-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-s390x-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-s390x-linux-gnu.so.p/meson-generated_sklearn_cluster__k_means_common.pyx.c.o [144/251] Compiling C object sklearn/cluster/_k_means_elkan.cpython-313-s390x-linux-gnu.so.p/meson-generated_sklearn_cluster__k_means_elkan.pyx.c.o [145/251] Compiling C object sklearn/cluster/_k_means_minibatch.cpython-313-s390x-linux-gnu.so.p/meson-generated_sklearn_cluster__k_means_minibatch.pyx.c.o [146/251] Compiling C object sklearn/cluster/_hdbscan/_linkage.cpython-313-s390x-linux-gnu.so.p/meson-generated_sklearn_cluster__hdbscan__linkage.pyx.c.o [147/251] Compiling C object sklearn/cluster/_hdbscan/_reachability.cpython-313-s390x-linux-gnu.so.p/meson-generated_sklearn_cluster__hdbscan__reachability.pyx.c.o [148/251] Compiling C object sklearn/cluster/_hdbscan/_tree.cpython-313-s390x-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-s390x-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-s390x-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-s390x-linux-gnu.so.p/meson-generated_sklearn_datasets__svmlight_format_fast.pyx.c.o sklearn/datasets/_svmlight_format_fast.cpython-313-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-linux-gnu.so.p/meson-generated_sklearn_ensemble__hist_gradient_boosting__predictor.pyx.c.o [158/251] Compiling C++ object sklearn/feature_extraction/_hashing_fast.cpython-313-s390x-linux-gnu.so.p/meson-generated_sklearn_feature_extraction__hashing_fast.pyx.cpp.o [159/251] Compiling C object sklearn/ensemble/_hist_gradient_boosting/_bitset.cpython-313-s390x-linux-gnu.so.p/meson-generated_sklearn_ensemble__hist_gradient_boosting__bitset.pyx.c.o [160/251] Compiling C object sklearn/ensemble/_hist_gradient_boosting/common.cpython-313-s390x-linux-gnu.so.p/meson-generated_sklearn_ensemble__hist_gradient_boosting_common.pyx.c.o [161/251] Compiling C object sklearn/linear_model/_sag_fast.cpython-313-s390x-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-s390x-linux-gnu.so.p/meson-generated_sklearn_linear_model__sgd_fast.pyx.c.o [163/251] Compiling C object sklearn/manifold/_utils.cpython-313-s390x-linux-gnu.so.p/meson-generated_sklearn_manifold__utils.pyx.c.o [164/251] Compiling C object sklearn/linear_model/_cd_fast.cpython-313-s390x-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-s390x-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-s390x-linux-gnu.so.p/meson-generated_sklearn_neighbors__partition_nodes.pyx.cpp.o [167/251] Compiling C object sklearn/neighbors/_quad_tree.cpython-313-s390x-linux-gnu.so.p/meson-generated_sklearn_neighbors__quad_tree.pyx.c.o [168/251] Compiling C object sklearn/neighbors/_ball_tree.cpython-313-s390x-linux-gnu.so.p/meson-generated_sklearn_neighbors__ball_tree.pyx.c.o sklearn/neighbors/_ball_tree.cpython-313-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:55786:19: sklearn/neighbors/_ball_tree.cpython-313-s390x-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-s390x-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-s390x-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-s390x-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:41964:19: sklearn/neighbors/_ball_tree.cpython-313-s390x-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-s390x-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-s390x-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-s390x-linux-gnu.so.p/meson-generated_sklearn_neighbors__kd_tree.pyx.c.o sklearn/neighbors/_kd_tree.cpython-313-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:55654:19: sklearn/neighbors/_kd_tree.cpython-313-s390x-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-s390x-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-s390x-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-s390x-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:41832:19: sklearn/neighbors/_kd_tree.cpython-313-s390x-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-s390x-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-s390x-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-s390x-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-s390x-linux-gnu.so.p/meson-generated_sklearn_preprocessing__csr_polynomial_expansion.pyx.c.o [173/251] Compiling C object sklearn/svm/_libsvm.cpython-313-s390x-linux-gnu.so.p/meson-generated_sklearn_svm__libsvm.pyx.c.o [174/251] Linking static target sklearn/svm/libliblinear-skl.a [175/251] Compiling C object sklearn/svm/_libsvm_sparse.cpython-313-s390x-linux-gnu.so.p/meson-generated_sklearn_svm__libsvm_sparse.pyx.c.o [176/251] Compiling C++ object sklearn/preprocessing/_target_encoder_fast.cpython-313-s390x-linux-gnu.so.p/meson-generated_sklearn_preprocessing__target_encoder_fast.pyx.cpp.o [177/251] Compiling C object sklearn/svm/_liblinear.cpython-313-s390x-linux-gnu.so.p/meson-generated_sklearn_svm__liblinear.pyx.c.o [178/251] Compiling C object sklearn/tree/_splitter.cpython-313-s390x-linux-gnu.so.p/meson-generated_sklearn_tree__splitter.pyx.c.o [179/251] Compiling C object sklearn/tree/_partitioner.cpython-313-s390x-linux-gnu.so.p/meson-generated_sklearn_tree__partitioner.pyx.c.o [180/251] Compiling C++ object sklearn/tree/_tree.cpython-313-s390x-linux-gnu.so.p/meson-generated_sklearn_tree__tree.pyx.cpp.o In file included from /usr/include/c++/14/s390x-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-s390x-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-s390x-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-s390x-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-s390x-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-s390x-linux-gnu.so.p/meson-generated_sklearn_tree__criterion.pyx.c.o [183/251] Compiling C object sklearn/tree/_utils.cpython-313-s390x-linux-gnu.so.p/meson-generated_sklearn_tree__utils.pyx.c.o [184/251] Linking target sklearn/__check_build/_check_build.cpython-313-s390x-linux-gnu.so [185/251] Linking target sklearn/_isotonic.cpython-313-s390x-linux-gnu.so [186/251] 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_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_s390x.whl size=50606061 sha256=6ab0f41ab85e31a76cc122c1ae4be08c1525315e3841606888628f996d5c2617 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.ckvOmv + 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=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection ' + 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=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection ' + 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=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection -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=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection -I/usr/lib64/gfortran/modules ' + export FCFLAGS + VALAFLAGS=-g + export VALAFLAGS + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + export RUSTFLAGS + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -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 ++ 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_s390x.whl ++ sed -E 's/([^-]+)-([^-]+)-.+\.whl/\1==\2/' ++ xargs basename --multiple + 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_s390x.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.s390x-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.s390x-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.s390x-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.s390x-pyproject-files --output-modules /builddir/build/BUILD/python-scikit-learn-1.6.0-build/python-scikit-learn-1.6.0-1.fc42.s390x-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.s390x-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.s390x --unique-debug-src-base python-scikit-learn-1.6.0-1.fc42.s390x --run-dwz --dwz-low-mem-die-limit 10000000 --dwz-max-die-limit 50000000 -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.s390x cpio: .mesonpy-cn7b4u0m/: Cannot stat: No such file or directory cpio: .mesonpy-cn7b4u0m/sklearn/__check_build/_check_build.cpython-313-s390x-linux-gnu.so.p/sklearn/__check_build/_check_build.pyx.c: Cannot stat: No such file or directory cpio: .mesonpy-cn7b4u0m/sklearn/_isotonic.cpython-313-s390x-linux-gnu.so.p/sklearn/_isotonic.pyx.c: Cannot stat: No such file or directory cpio: .mesonpy-cn7b4u0m/sklearn/_loss/_loss.cpython-313-s390x-linux-gnu.so.p/sklearn/_loss/_loss.pyx.c: Cannot stat: No such file or directory cpio: .mesonpy-cn7b4u0m/sklearn/cluster/_dbscan_inner.cpython-313-s390x-linux-gnu.so.p/sklearn/cluster/_dbscan_inner.pyx.cpp: Cannot stat: No such file or directory cpio: .mesonpy-cn7b4u0m/sklearn/cluster/_hdbscan/_linkage.cpython-313-s390x-linux-gnu.so.p/sklearn/cluster/_hdbscan/_linkage.pyx.c: Cannot stat: No such file or 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/var/tmp/rpm-tmp.8oBvSC + 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=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection ' + 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=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection ' + export CXXFLAGS ~/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 + 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=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection -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=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection -I/usr/lib64/gfortran/modules ' + export FCFLAGS + VALAFLAGS=-g + export VALAFLAGS + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + export RUSTFLAGS + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -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 + 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_bicluster.py::test_n_features_in_[est0] sklearn/cluster/tests/test_bicluster.py::test_n_features_in_[est0] sklearn/preprocessing/tests/test_discretization.py::test_redundant_bins[kmeans-expected_bin_edges1] /builddir/build/BUILD/python-scikit-learn-1.6.0-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/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=12400) 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: 0.000880946249180059, tolerance: 8.876533008162486e-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: 0.0010103266374811848, tolerance: 8.96862030376985e-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: 0.0022904885564575816, tolerance: 0.00011435637954661176 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::test_bagging_regressor_with_missing_inputs sklearn/tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[None] sklearn/tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[None] sklearn/tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[csc_matrix] sklearn/tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[csc_array] /usr/lib64/python3.13/site-packages/numpy/_core/fromnumeric.py:86: RuntimeWarning: invalid value encountered in reduce return ufunc.reduce(obj, axis, dtype, out, **passkwargs) 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: 10 warnings sklearn/linear_model/tests/test_common.py: 2 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[ExtraTreesClassifier] sklearn/ensemble/tests/test_forest.py::test_oob_not_computed_twice[RandomForestClassifier] /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: 49 warnings sklearn/model_selection/tests/test_search.py: 30 warnings sklearn/svm/tests/test_svm.py: 17 warnings sklearn/tests/test_calibration.py: 16 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] /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=1.99193e-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_ridge_regression_unpenalized_hstacked_X[wide-42-True-cholesky] /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=7.96772e-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_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:370: RuntimeWarning: invalid value encountered in scalar divide beta = rho_cur / rho_prev 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=8.23939e-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_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_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: 0.013600403306909925, 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: 0.036651160821271844, 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: 0.040332571379124715, 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: 0.042338287573556954, 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: 0.04399714422716983, 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: 0.0453915031566865, 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: 0.04655165148310658, 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: 0.047504257032187525, 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: 0.04827386488005203, 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: 0.04888295807548815, 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: 0.049352014011198264, 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: 0.04969958357786908, 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: 0.049942387248371745, 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: 0.05009542273018042, 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: 0.05017207971273052, 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: 0.050184258042804686, 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: 0.050142486379371576, 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: 0.05005603901085465, 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: 0.04993304906687257, 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: 0.0497806168204562, 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: 0.04960491216846208, 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: 0.049411270700737475, 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: 0.04920428302831681, 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: 0.048987877252805845, 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: 0.0487653946186839, 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: 0.048313037091020306, 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: 0.048087499789268406, 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: 0.04786466819175672, 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: 0.04764586153763872, 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: 0.047224327427052515, 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: 0.047023070006474654, 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: 0.04682883778475144, 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: 0.04664196284639388, 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: 0.04646265842205821, 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: 0.04629103793020306, 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: 0.046127131574039026, 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: 0.045970900760501365, 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: 0.045822250586212476, 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: 0.045681040612727486, 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: 0.04554709413274338, 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: 0.04542020610754349, 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: 0.04530014993866871, 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: 0.04518668321907171, 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: 0.04507955259442298, 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: 0.04488325531225712, 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: 0.044793560699531554, 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: 0.044709151424363824, 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: 0.0446297684981829, 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: 0.044555158049043087, 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: 0.04448507252145362, 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: 0.044419271609719146, 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: 0.044357522955451145, 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: 0.04429960265633781, 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: 0.04424529560572665, 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: 0.04419439570006034, 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: 0.0441467059268561, 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: 0.04410203836854265, 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: 0.04406021411695349, 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: 0.0440210631345721, 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: 0.043984424066849215, 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: 0.043950144010125314, 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: 0.043918078250790415, 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: 0.04388808998782423, 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: 0.04386005003603799, 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: 0.043833836518743396, 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: 0.04380933454864788, 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: 0.04378643592721687, 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: 0.04376503881793781, 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: 0.043745047445050034, 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: 0.043726371782611295, 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: 0.043708927262954944, 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: 0.0436926344871722, 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: 0.043677418942337454, 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: 0.043663210733505764, 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: 0.04364994432610558, 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: 0.043637558298968315, 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: 0.04362599509678233, 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: 0.04361520082320425, 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: 0.04360512500318947, 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: 0.04359572039200543, 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: 0.043586942774879844, 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: 0.04357875078088114, 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: 0.043571105723977155, 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: 0.04356397140860224, 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: 0.04823630960414249, 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: 0.0525639656101049, 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: 0.053171065529816985, 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: 0.05358147192694673, 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: 0.05348196852555276, 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: 0.05323022641040609, 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: 0.05285720874948652, 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: 0.05238909528273439, 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: 0.05184795600124659, 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: 0.04995712587912493, 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: 0.0492811867413252, 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: 0.048598756367653095, 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: 0.04791705145464675, 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: 0.047241919318864234, 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: 0.04657804520030595, 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: 0.045929130613053815, 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: 0.045298046647445744, 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: 0.044686965607589, 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: 0.04409747392098495, 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: 0.04298724132524967, 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: 0.04246754647539319, 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: 0.04197166407426778, 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: 0.04149944977881859, 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: 0.04105057873805151, 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: 0.04062458253692114, 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: 0.04022088042300709, 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: 0.03983880562211084, 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: 0.039477627438117224, 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: 0.03913656974014401, 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: 0.038511573829644874, 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: 0.037957222091897336, 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: 0.03770447463735138, 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: 0.037466934035542465, 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: 0.03724381342723859, 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: 0.03703434797964178, 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: 0.0368377974426366, 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: 0.03665344800302961, 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: 0.0364806135579272, 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: 0.03631863650389988, 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: 0.03616688812667235, 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: 0.03602476866506521, 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: 0.035891707106870285, 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: 0.035767160771563056, 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: 0.03565061472385622, 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: 0.03554158105373517, 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: 0.0354395980547082, 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: 0.03534422932693815, 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: 0.03525506283249058, 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: 0.035171709906975934, 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: 0.03509380425845876, 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: 0.035021000956966475, 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: 0.03495297542924902, 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: 0.034889422462143216, 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: 0.03483005522514304, 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: 0.034722816839440895, 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: 0.034629297740224274, 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: 0.034587134925132546, 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: 0.03454777152506949, 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: 0.03451102436798692, 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: 0.03447672191141038, 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: 0.03444470354961027, 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: 0.03441481895880116, 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: 0.03438692747807437, 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: 0.034360897515220756, 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: 0.03433660599073818, 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: 0.034313937808647665, 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: 0.03429278536300018, 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: 0.03425463189769573, 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: 0.03423744900852199, 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: 0.03422141730887773, 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: 0.03420646010485484, 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: 0.03419250576698829, 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: 0.03417948737396159, 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: 0.03416734244074604, 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: 0.03415601261090728, 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: 0.03414544339307923, 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: 0.013600403306909925, 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: 0.036651160821271844, 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: 0.042338287573571165, 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: 0.043997144227219565, 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: 0.04539150315670781, 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: 0.047504257032201735, 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: 0.048273864880059136, 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: 0.04888295807553078, 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: 0.04969958357786197, 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: 0.049942387248385955, 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: 0.05009542273018752, 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: 0.05017207971273052, 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: 0.05018425804287574, 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: 0.050142486379435525, 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: 0.05005603901087596, 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: 0.04993304906687257, 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: 0.0497806168204491, 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: 0.04960491216854024, 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: 0.049411270700801424, 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: 0.04920428302828128, 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: 0.048987877252898215, 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: 0.048765394618783375, 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: 0.0485396585159279, 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: 0.048313037091070044, 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: 0.048087499789318144, 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: 0.04786466819189883, 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: 0.0476458615377382, 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: 0.04743213733020468, 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: 0.04722432742718041, 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: 0.04702307000663808, 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: 0.046828837784808286, 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: 0.04664196284659994, 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: 0.04646265842215058, 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: 0.04629103793035938, 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: 0.04612713157421666, 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: 0.04597090076074295, 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: 0.04582225058632616, 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: 0.045681040612898016, 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: 0.04554709413292102, 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: 0.04542020610788455, 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: 0.04530014993876108, 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: 0.04518668321910013, 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: 0.04507955259470009, 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: 0.044978497848312315, 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: 0.044883255312576864, 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: 0.04479356069967366, 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: 0.0447091514244633, 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: 0.04462976849834632, 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: 0.04455515804938415, 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: 0.04448507252204337, 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: 0.04441927160976178, 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: 0.0443575229557851, 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: 0.0442996026569773, 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: 0.044245295606984314, 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: 0.044194395700564826, 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: 0.0441467059281635, 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: 0.0441020383689974, 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: 0.0440602141174935, 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: 0.04402106313560239, 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: 0.043984424067581074, 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: 0.043950144010324266, 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: 0.04391807825064831, 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: 0.04388808998895399, 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: 0.043860050037643816, 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: 0.04383383651954631, 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: 0.04380933454944369, 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: 0.043786435928282685, 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: 0.043765038819714164, 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: 0.04374504744595953, 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: 0.04372637178290262, 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: 0.04370892726495157, 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: 0.04369263448888461, 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: 0.04367741894466093, 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: 0.043663210736688995, 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: 0.04364994432971514, 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: 0.043637558302030754, 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: 0.04362599510036347, 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: 0.04361520082751014, 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: 0.043605125007005086, 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: 0.0435957203964179, 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: 0.04358694277792807, 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: 0.04357875078810736, 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: 0.04357110572883016, 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: 0.043563971414378955, 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: 0.02242199605875328, 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: 0.04823630960414249, 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: 0.05256396561013332, 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: 0.05317106552984541, 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: 0.05349220795532972, 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: 0.05358147192699647, 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: 0.053481968525559864, 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: 0.0532302264104203, 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: 0.05285720874952915, 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: 0.05238909528276281, 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: 0.05184795600128922, 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: 0.0512523336110533, 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: 0.050617746951559184, 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: 0.049957125879132036, 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: 0.04928118674140336, 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: 0.04859875636768862, 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: 0.04791705145461833, 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: 0.047241919318942394, 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: 0.0465780452003699, 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: 0.045929130613131974, 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: 0.04529804664750969, 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: 0.04468696560763874, 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: 0.043530668866125666, 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: 0.04298724132534204, 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: 0.04246754647545714, 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: 0.04197166407434594, 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: 0.041499449778896746, 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: 0.041050578738143884, 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: 0.040624582537006404, 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: 0.04022088042307814, 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: 0.039838805622196105, 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: 0.03947762743818117, 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: 0.039136569740293226, 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: 0.03881482635762268, 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: 0.03851157382979409, 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: 0.03822598190101445, 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: 0.03795722209215313, 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: 0.03770447463751481, 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: 0.037466934035975896, 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: 0.037243813427281225, 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: 0.037034347979819415, 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: 0.036837797442984765, 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: 0.03665344800349857, 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: 0.03648061355814036, 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: 0.03631863650404199, 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: 0.03616688812693525, 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: 0.036024768665413376, 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: 0.03589170710706213, 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: 0.03576716077191122, 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: 0.035650614724410445, 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: 0.03554158105386307, 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: 0.03543959805451635, 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: 0.03534422932752079, 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: 0.035255062833243755, 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: 0.03517170990757279, 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: 0.03509380425897035, 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: 0.03502100095751359, 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: 0.03495297542988851, 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: 0.034889422463386666, 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: 0.034830055225761214, 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: 0.0347746043178887, 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: 0.034722816840094595, 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: 0.03467445549925685, 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: 0.03462929774072876, 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: 0.034587134926439944, 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: 0.034547771526263205, 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: 0.034511024370075916, 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: 0.03447672191181539, 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: 0.03444470354936868, 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: 0.03441481896059173, 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: 0.03438692747975125, 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: 0.03436089751581761, 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: 0.03433660599277033, 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: 0.03431393781058034, 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: 0.0342927853656434, 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: 0.03427304806616149, 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: 0.03425463190018263, 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: 0.03423744901132153, 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: 0.034221417310149604, 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: 0.034206460107583325, 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: 0.03419250576737909, 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: 0.03417948737629217, 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: 0.034167342443303994, 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: 0.03415601261124124, 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: 0.03414544340136416, 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=12400) 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/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, 3443 warnings in 685.09s (0:11:25) = 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 = -0.37499999475400758 CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL This problem is unconstrained. This problem is unconstrained. ~/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.s390x Executing(%doc): /bin/sh -e /var/tmp/rpm-tmp.vTCUdc + 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.eN2GNJ + 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(s390-64) = 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_2.2)(64bit) libc.so.6(GLIBC_2.3.4)(64bit) libc.so.6(GLIBC_2.32)(64bit) libc.so.6(GLIBC_2.4)(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)(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.s390x Provides: python-scikit-learn-debugsource = 1.6.0-1.fc42 python-scikit-learn-debugsource(s390-64) = 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.s390x Provides: debuginfo(build-id) = 0353ca9b55795c8ccccb5f72eee503a507ed4957 debuginfo(build-id) = 074e36434fd461dd10d257cf241813e274d67459 debuginfo(build-id) = 0c7dc55f646c5d1eece34fb0433906f176658687 debuginfo(build-id) = 10b60e5f462ec4e6d288c5bfddf9114ea685f09d debuginfo(build-id) = 10be2160dfb1a219740cfe66b4846cca8f6d673b debuginfo(build-id) = 1839449baaa8284b1684d4ad718e0aa35c8d1b48 debuginfo(build-id) = 19c77168e64eaa7c01f567dd22b95e1d98800bba debuginfo(build-id) = 1b3450c2f69b946edfd7e38a75f111ac99ed18da debuginfo(build-id) = 1c314eac671d9984a572da2712d152292473679d debuginfo(build-id) = 20a5087fe7a09477965ee6cadef3f540f5271789 debuginfo(build-id) = 237cca4737bb547e1e9d0c136d6f512dcd2d3a17 debuginfo(build-id) = 26b28e88e7a407ac3643b2c3b1f5c772c4ac5646 debuginfo(build-id) = 2874df370513033212fd7664d48beeaf121ce511 debuginfo(build-id) = 2acb9177e506f15fec09737feb5e169b93ea926f debuginfo(build-id) = 2b29100b2d916e3850aa1b773acbb17ffae8ca34 debuginfo(build-id) = 2e39d76dad2c68fd0892331bcec7e756a0bba429 debuginfo(build-id) = 303e49f2e9eaf0e00b8b03df935aa938be747add debuginfo(build-id) = 313b186058351d5d261e4ed54bdd27751b01a014 debuginfo(build-id) = 36b0c523185f65d359b70700369ba651ff7722e7 debuginfo(build-id) = 382d7b76bd661e69a512d8e941737052dad5a423 debuginfo(build-id) = 3d26d1d8ab536e077c609db29cc4dc6e815b83ef debuginfo(build-id) = 459fd08d2a897cb9ec16c1f5ecff79d6cb555f94 debuginfo(build-id) = 4e087664b3fc9b436a80a98b12eaf832d0729913 debuginfo(build-id) = 4ea59eb04dfa19476b7dc5e94a490de1d3961185 debuginfo(build-id) = 540bd8261cbd55a35696869e64f7a385f9347f50 debuginfo(build-id) = 59da853c735f49cce3a438b0511857ce70af5e94 debuginfo(build-id) = 5dc8ce9da483f0b9891cd97e72c46b33c38aa5ba debuginfo(build-id) = 71b1d99ed939e6a109368623947462ba0fe3bd70 debuginfo(build-id) = 7277ab661bdec81b9c6245f19bfb7d0a96f8bb22 debuginfo(build-id) = 728c8bd61476c4f48d4d6681eea965e304c04dfc debuginfo(build-id) = 7341ffe8fef477f8d5ecf8496a17471cb39262a0 debuginfo(build-id) = 735ce39fecf0c3e64d1eb4448717e9dd7a60b9c0 debuginfo(build-id) = 7584e29cd69dfeb595f0525bae5c8c69b4833bd7 debuginfo(build-id) = 7699579c046ee2473dd4068f6051c82372366202 debuginfo(build-id) = 7d2f4dbab033e5a3447b313e423aab46311e1be3 debuginfo(build-id) = 80f5c31a1f03a7f4fbd01b9917fb611b510a0638 debuginfo(build-id) = 85b2d308f86103475832584ec621583c09a3791e debuginfo(build-id) = 8a70b008c828f8caf6c7bfbb79dc2356f68cc80c debuginfo(build-id) = 96f2f0ff20b0c7b34b28c6469e5037f1d07d661a debuginfo(build-id) = 976f82870733e2e4aaefc8670014d1cb6178c7f0 debuginfo(build-id) = 99cecfe5079c4b4012f64a21131ed3585bf7d0e3 debuginfo(build-id) = 9cfa7adffdee6f60bb68fc8b4d78d06522efa33c debuginfo(build-id) = 9daeac00d8f2638899d88352e0020e10be050484 debuginfo(build-id) = 9ebfdfdd055dd7774587e64d37e838afbb2ec44e debuginfo(build-id) = a90058bc98ed8e3a4e5c504adf2a37b4a798de4a debuginfo(build-id) = abcb640453fd613200c7ece172726c94c4c672db debuginfo(build-id) = af74eb3f08ce9b3c6d1d580373b1645d7caa95e8 debuginfo(build-id) = b0a10d89a838ccc09c2dff72971719365071fe22 debuginfo(build-id) = b9153cac0fe30228a898384b8233445323324152 debuginfo(build-id) = bac412ad631dd7be6223a0a263fe6b2e0dbbee52 debuginfo(build-id) = bb0a9d3316254a54b64852e047edcbeb882c8a90 debuginfo(build-id) = bbaf07e34cb8664b53b6ef1f31992a2e36afc9aa debuginfo(build-id) = c310299708f207424e370e40f02f256fa2a46b3e debuginfo(build-id) = c3276154085f0ad7fcc2f7b7178084a8b472e8fa debuginfo(build-id) = c795b1af006a0e040401c4ffba927956d5bc9cb9 debuginfo(build-id) = c928561f807464a6745d9eec7e5e9b251cc01fbf debuginfo(build-id) = c956c5c23799fb10f8f980640c29e5b3a12eeaf1 debuginfo(build-id) = cba2a351c0c2df5e5305574c044605b7acc4b741 debuginfo(build-id) = cdc08b1a3d4bdba92eadd179174403bb70f1b8d1 debuginfo(build-id) = cf89ec5b27ba35ce4cda5941b0513bc0b3911a87 debuginfo(build-id) = d34d87d6e5185e76c6020bd593096b981858463b debuginfo(build-id) = d7111ce341698c4a1f6f7ac6a9a61741f00d4803 debuginfo(build-id) = dcad0bdebe797d193e0ea66fbeb4bed9b2486fee debuginfo(build-id) = deaaf2a743ad9e598d2726ac16538b1217ef955d debuginfo(build-id) = e13a1bdfc417dce6e5a63556d2d56154bda883f6 debuginfo(build-id) = e6acb5e64e1b44622e02e52a6741f8c4d66349cb debuginfo(build-id) = f0346eb2942924ac19066a793327f0d620362fbd debuginfo(build-id) = f724871ccbed9901b9c4cbe61e8e0a6b3bd6c347 python-scikit-learn-debuginfo = 1.6.0-1.fc42 python3-scikit-learn-debuginfo = 1.6.0-1.fc42 python3-scikit-learn-debuginfo(s390-64) = 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(s390-64) = 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.s390x.rpm Wrote: /builddir/build/RPMS/python-scikit-learn-debugsource-1.6.0-1.fc42.s390x.rpm Wrote: /builddir/build/RPMS/python3-scikit-learn-debuginfo-1.6.0-1.fc42.s390x.rpm Executing(rmbuild): /bin/sh -e /var/tmp/rpm-tmp.7o2ihf + 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-s390x-1734624735.142109/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) 26 minutes 31 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": "s390x" }, { "name": "python3-scikit-learn-debuginfo", "epoch": null, "version": "1.6.0", "release": "1.fc42", "arch": "s390x" }, { "name": "python-scikit-learn", "epoch": null, "version": "1.6.0", "release": "1.fc42", "arch": "src" }, { "name": "python3-scikit-learn", "epoch": null, "version": "1.6.0", "release": "1.fc42", "arch": "s390x" } ] } RPMResults finished