Warning: Permanently added '2620:52:3:1:dead:beef:cafe:c2a1' (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/9357596-fedora-41-ppc64le --chroot fedora-41-ppc64le Version: 1.3 PID: 3683 Logging PID: 3684 Task: {'allow_user_ssh': False, 'appstream': False, 'background': True, 'build_id': 9357596, 'buildroot_pkgs': [], 'chroot': 'fedora-41-ppc64le', 'enable_net': False, 'fedora_review': False, 'git_hash': '93bd159c37855757378267ac6b6d68bfbdbea7fb', 'git_repo': 'https://copr-dist-git.fedorainfracloud.org/git/psimovec/scipy-1.10.0:pr:fork-cstratak-rpms-python-scikit-learn-8/python-scikit-learn', 'isolation': 'default', 'memory_reqs': 2048, 'package_name': 'python-scikit-learn', 'package_version': '1.7.1-1', 'project_dirname': 'scipy-1.10.0:pr:fork-cstratak-rpms-python-scikit-learn-8', 'project_name': 'scipy-1.10.0', 'project_owner': 'psimovec', 'repo_priority': None, 'repos': [{'baseurl': 'https://download.copr.fedorainfracloud.org/results/psimovec/scipy-1.10.0/fedora-41-ppc64le/', 'id': 'copr_base', 'name': 'Copr repository', 'priority': None}, {'baseurl': 'https://download.copr.fedorainfracloud.org/results/psimovec/scipy-1.10.0:pr:fork-cstratak-rpms-python-scikit-learn-8/fedora-41-ppc64le/', 'id': 'copr_coprdir', 'name': 'Coprdir repository', 'priority': None}, {'baseurl': 'http://kojipkgs.fedoraproject.org/repos/rawhide/latest/$basearch/', 'id': 'http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch', 'name': 'Additional repo http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch'}], 'sandbox': 'psimovec/scipy-1.10.0--https://src.fedoraproject.org/user/cstratak', 'source_json': {}, 'source_type': None, 'ssh_public_keys': None, 'storage': None, 'submitter': 'https://src.fedoraproject.org/user/cstratak', 'tags': [], 'task_id': '9357596-fedora-41-ppc64le', 'timeout': 18000, 'uses_devel_repo': False, 'with_opts': [], 'without_opts': []} Running: git clone https://copr-dist-git.fedorainfracloud.org/git/psimovec/scipy-1.10.0:pr:fork-cstratak-rpms-python-scikit-learn-8/python-scikit-learn /var/lib/copr-rpmbuild/workspace/workdir-d3oxqfuk/python-scikit-learn --depth 500 --no-single-branch --recursive cmd: ['git', 'clone', 'https://copr-dist-git.fedorainfracloud.org/git/psimovec/scipy-1.10.0:pr:fork-cstratak-rpms-python-scikit-learn-8/python-scikit-learn', '/var/lib/copr-rpmbuild/workspace/workdir-d3oxqfuk/python-scikit-learn', '--depth', '500', '--no-single-branch', '--recursive'] cwd: . rc: 0 stdout: stderr: Cloning into '/var/lib/copr-rpmbuild/workspace/workdir-d3oxqfuk/python-scikit-learn'... Running: git checkout 93bd159c37855757378267ac6b6d68bfbdbea7fb -- cmd: ['git', 'checkout', '93bd159c37855757378267ac6b6d68bfbdbea7fb', '--'] cwd: /var/lib/copr-rpmbuild/workspace/workdir-d3oxqfuk/python-scikit-learn rc: 0 stdout: stderr: Note: switching to '93bd159c37855757378267ac6b6d68bfbdbea7fb'. 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 93bd159 automatic import of python-scikit-learn Running: dist-git-client sources cmd: ['dist-git-client', 'sources'] cwd: /var/lib/copr-rpmbuild/workspace/workdir-d3oxqfuk/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-1.7.1.tar.gz INFO: Reading stdout from command: curl --help all INFO: Calling: curl -H Pragma: -o scikit_learn-1.7.1.tar.gz --location --connect-timeout 60 --retry 3 --retry-delay 10 --remote-time --show-error --fail --retry-all-errors https://copr-dist-git.fedorainfracloud.org/repo/pkgs/psimovec/scipy-1.10.0:pr:fork-cstratak-rpms-python-scikit-learn-8/python-scikit-learn/scikit_learn-1.7.1.tar.gz/md5/7d76c001b7009205ee016fe528a94a00/scikit_learn-1.7.1.tar.gz % Total % Received % Xferd Average Speed Time Time Time Current tail: /var/lib/copr-rpmbuild/main.log: file truncated Dload Upload Total Spent Left Speed 100 7021k 100 7021k 0 0 35.9M 0 --:--:-- --:--:-- --:--:-- 36.0M INFO: Reading stdout from command: md5sum scikit_learn-1.7.1.tar.gz Running (timeout=18000): unbuffer mock --spec /var/lib/copr-rpmbuild/workspace/workdir-d3oxqfuk/python-scikit-learn/python-scikit-learn.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-d3oxqfuk/python-scikit-learn --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1753924428.576737 -r /var/lib/copr-rpmbuild/results/configs/child.cfg INFO: mock.py version 6.3 starting (python version = 3.13.5, NVR = mock-6.3-1.fc42), args: /usr/libexec/mock/mock --spec /var/lib/copr-rpmbuild/workspace/workdir-d3oxqfuk/python-scikit-learn/python-scikit-learn.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-d3oxqfuk/python-scikit-learn --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1753924428.576737 -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-d3oxqfuk/python-scikit-learn/python-scikit-learn.spec) Config(fedora-41-ppc64le) Start: clean chroot Finish: clean chroot Mock Version: 6.3 INFO: Mock Version: 6.3 Start(bootstrap): chroot init INFO: mounting tmpfs at /var/lib/mock/fedora-41-ppc64le-bootstrap-1753924428.576737/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 container image: registry.fedoraproject.org/fedora:41 INFO: Pulling image: registry.fedoraproject.org/fedora:41 INFO: Tagging container image as mock-bootstrap-c5cb2a84-838e-4c7a-9a35-12125611979a INFO: Checking that b95ef564d1b64a9c61f276712072188590cd871b50118606541fed27b7c0e1cb image matches host's architecture INFO: Copy content of container b95ef564d1b64a9c61f276712072188590cd871b50118606541fed27b7c0e1cb to /var/lib/mock/fedora-41-ppc64le-bootstrap-1753924428.576737/root INFO: mounting b95ef564d1b64a9c61f276712072188590cd871b50118606541fed27b7c0e1cb with podman image mount INFO: image b95ef564d1b64a9c61f276712072188590cd871b50118606541fed27b7c0e1cb as /var/lib/containers/storage/overlay/930cf311baebbcb733582865b0cb81c48cf125299f7112c446372e9d2067eabc/merged INFO: umounting image b95ef564d1b64a9c61f276712072188590cd871b50118606541fed27b7c0e1cb (/var/lib/containers/storage/overlay/930cf311baebbcb733582865b0cb81c48cf125299f7112c446372e9d2067eabc/merged) with podman image umount INFO: Removing image mock-bootstrap-c5cb2a84-838e-4c7a-9a35-12125611979a 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-41-ppc64le-1753924428.576737/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-4.20.1-1.fc41.ppc64le rpm-sequoia-1.7.0-5.fc41.ppc64le dnf5-5.2.13.1-1.fc41.ppc64le dnf5-plugins-5.2.13.1-1.fc41.ppc64le Start: installing minimal buildroot with dnf5 Updating and loading repositories: updates 100% | 2.8 MiB/s | 12.4 MiB | 00m04s fedora 100% | 2.4 MiB/s | 33.3 MiB | 00m14s Copr repository 100% | 2.3 MiB/s | 358.7 KiB | 00m00s Coprdir repository 100% | 16.6 KiB/s | 1.6 KiB | 00m00s Additional repo http_kojipkgs_fedorapr 100% | 2.9 MiB/s | 14.1 MiB | 00m05s Repositories loaded. 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2.41.1-13.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 6.9 MiB which ppc64le 2.23-3.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 123.3 KiB xz ppc64le 1:5.8.1-2.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.4 MiB Installing dependencies: add-determinism ppc64le 0.6.0-2.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 2.5 MiB alternatives ppc64le 1.33-2.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 90.1 KiB ansible-srpm-macros noarch 1-18.1.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 35.7 KiB audit-libs ppc64le 4.1.1-1.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 550.5 KiB binutils ppc64le 2.45-1.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 32.2 MiB build-reproducibility-srpm-macros noarch 0.6.0-2.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 735.0 B bzip2-libs ppc64le 1.0.8-21.fc43 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http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 4.9 KiB fedora-repos-rawhide noarch 43-0.2 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 2.2 KiB file ppc64le 5.46-6.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 140.1 KiB file-libs ppc64le 5.46-6.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 11.9 MiB filesystem ppc64le 3.18-45.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 112.0 B filesystem-srpm-macros noarch 3.18-45.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 38.2 KiB fonts-srpm-macros noarch 1:2.0.5-23.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 55.8 KiB forge-srpm-macros noarch 0.4.0-3.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 38.9 KiB fpc-srpm-macros noarch 1.3-15.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 144.0 B gdb-minimal ppc64le 16.3-4.fc43 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http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 464.0 B readline ppc64le 8.3-2.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 627.5 KiB rpm ppc64le 5.99.91-2.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 4.2 MiB rpm-build-libs ppc64le 5.99.91-2.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 328.0 KiB rpm-libs ppc64le 5.99.91-2.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.2 MiB rpm-sequoia ppc64le 1.9.0-2.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 4.9 MiB rpm-sign-libs ppc64le 5.99.91-2.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 67.6 KiB rust-srpm-macros noarch 26.3-5.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 4.8 KiB setup noarch 2.15.0-26.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 725.0 KiB sqlite-libs ppc64le 3.50.2-2.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.9 MiB systemd-libs ppc64le 257.7-1.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 2.9 MiB systemd-standalone-sysusers ppc64le 257.7-1.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 329.3 KiB tpm2-tss ppc64le 4.1.3-8.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 2.5 MiB tree-sitter-srpm-macros noarch 0.4.2-1.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 8.3 KiB util-linux-core ppc64le 2.41.1-13.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 2.5 MiB xxhash-libs ppc64le 0.8.3-3.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 85.6 KiB xz-libs ppc64le 1:5.8.1-2.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 265.3 KiB zig-srpm-macros noarch 1-5.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.1 KiB zip ppc64le 3.0-44.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 889.8 KiB zlib-ng-compat ppc64le 2.2.4-3.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 197.4 KiB zstd ppc64le 1.5.7-2.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.9 MiB Installing groups: Buildsystem building group Transaction Summary: Installing: 170 packages Total size of inbound packages is 64 MiB. Need to download 64 MiB. After this operation, 255 MiB extra will be used (install 255 MiB, remove 0 B). [ 1/170] bzip2-0:1.0.8-21.fc43.ppc64le 100% | 68.1 KiB/s | 52.9 KiB | 00m01s [ 2/170] cpio-0:2.15-6.fc43.ppc64le 100% | 462.7 KiB/s | 293.8 KiB | 00m01s [ 3/170] diffutils-0:3.12-3.fc43.ppc64 100% | 628.2 KiB/s | 396.4 KiB | 00m01s [ 4/170] fedora-release-common-0:43-0. 100% | 118.2 KiB/s | 25.4 KiB | 00m00s [ 5/170] findutils-1:4.10.0-6.fc43.ppc 100% | 722.2 KiB/s | 578.5 KiB | 00m01s [ 6/170] gawk-0:5.3.2-2.fc43.ppc64le 100% | 384.5 KiB/s | 1.2 MiB | 00m03s [ 7/170] coreutils-0:9.7-5.fc43.ppc64l 100% | 191.2 KiB/s | 1.2 MiB | 00m06s [ 8/170] glibc-minimal-langpack-0:2.42 100% | 105.6 KiB/s | 36.6 KiB | 00m00s [ 9/170] gzip-0:1.13-4.fc43.ppc64le 100% | 190.4 KiB/s | 168.1 KiB | 00m01s [ 10/170] grep-0:3.12-2.fc43.ppc64le 100% | 198.6 KiB/s | 299.2 KiB | 00m02s [ 11/170] info-0:7.2-4.fc43.ppc64le 100% | 180.9 KiB/s | 202.6 KiB | 00m01s [ 12/170] patch-0:2.8-2.fc43.ppc64le 100% | 209.9 KiB/s | 123.9 KiB | 00m01s [ 13/170] redhat-rpm-config-0:343-10.fc 100% | 196.0 KiB/s | 73.1 KiB | 00m00s [ 14/170] rpm-build-0:5.99.91-2.fc43.pp 100% | 216.2 KiB/s | 150.1 KiB | 00m01s [ 15/170] sed-0:4.9-5.fc43.ppc64le 100% | 246.0 KiB/s | 314.2 KiB | 00m01s [ 16/170] bash-0:5.3.0-2.fc43.ppc64le 100% | 158.9 KiB/s | 1.9 MiB | 00m12s [ 17/170] shadow-utils-2:4.18.0-3.fc43. 100% | 371.6 KiB/s | 1.2 MiB | 00m03s [ 18/170] tar-2:1.35-6.fc43.ppc64le 100% | 310.6 KiB/s | 875.3 KiB | 00m03s [ 19/170] unzip-0:6.0-67.fc43.ppc64le 100% | 266.3 KiB/s | 191.2 KiB | 00m01s [ 20/170] which-0:2.23-3.fc43.ppc64le 100% | 137.4 KiB/s | 43.0 KiB | 00m00s [ 21/170] xz-1:5.8.1-2.fc43.ppc64le 100% | 377.8 KiB/s | 561.1 KiB | 00m01s [ 22/170] util-linux-0:2.41.1-13.fc43.p 100% | 418.5 KiB/s | 1.2 MiB | 00m03s [ 23/170] filesystem-0:3.18-45.fc43.ppc 100% | 391.4 KiB/s | 1.3 MiB | 00m03s [ 24/170] fedora-repos-0:43-0.2.noarch 100% | 46.8 KiB/s | 9.2 KiB | 00m00s [ 25/170] glibc-common-0:2.42-1.fc43.pp 100% | 176.4 KiB/s | 332.0 KiB | 00m02s [ 26/170] filesystem-srpm-macros-0:3.18 100% | 83.0 KiB/s | 25.9 KiB | 00m00s [ 27/170] java-srpm-macros-0:1-7.fc43.n 100% | 41.6 KiB/s | 7.9 KiB | 00m00s [ 28/170] coreutils-common-0:9.7-5.fc43 100% | 280.4 KiB/s | 2.1 MiB | 00m08s [ 29/170] libblkid-0:2.41.1-13.fc43.ppc 100% | 190.4 KiB/s | 142.4 KiB | 00m01s [ 30/170] libfdisk-0:2.41.1-13.fc43.ppc 100% | 119.7 KiB/s | 177.1 KiB | 00m01s [ 31/170] liblastlog2-0:2.41.1-13.fc43. 100% | 70.5 KiB/s | 23.8 KiB | 00m00s [ 32/170] libmount-0:2.41.1-13.fc43.ppc 100% | 210.9 KiB/s | 186.9 KiB | 00m01s [ 33/170] rpm-0:5.99.91-2.fc43.ppc64le 100% | 135.9 KiB/s | 534.0 KiB | 00m04s [ 34/170] libsmartcols-0:2.41.1-13.fc43 100% | 190.6 KiB/s | 110.4 KiB | 00m01s [ 35/170] libuuid-0:2.41.1-13.fc43.ppc6 100% | 94.3 KiB/s | 27.6 KiB | 00m00s [ 36/170] xz-libs-1:5.8.1-2.fc43.ppc64l 100% | 208.9 KiB/s | 126.8 KiB | 00m01s [ 37/170] util-linux-core-0:2.41.1-13.f 100% | 257.2 KiB/s | 575.1 KiB | 00m02s [ 38/170] fedora-gpg-keys-0:43-0.2.noar 100% | 241.1 KiB/s | 125.8 KiB | 00m01s [ 39/170] fedora-repos-rawhide-0:43-0.2 100% | 39.7 KiB/s | 8.8 KiB | 00m00s [ 40/170] glibc-0:2.42-1.fc43.ppc64le 100% | 245.9 KiB/s | 3.1 MiB | 00m13s [ 41/170] rpm-build-libs-0:5.99.91-2.fc 100% | 354.5 KiB/s | 134.0 KiB | 00m00s [ 42/170] rpm-libs-0:5.99.91-2.fc43.ppc 100% | 363.3 KiB/s | 444.0 KiB | 00m01s [ 43/170] rpm-sign-libs-0:5.99.91-2.fc4 100% | 148.8 KiB/s | 28.6 KiB | 00m00s [ 44/170] libgcc-0:15.1.1-5.fc43.1.ppc6 100% | 273.9 KiB/s | 112.8 KiB | 00m00s [ 45/170] libxcrypt-0:4.4.38-8.fc43.ppc 100% | 334.8 KiB/s | 139.6 KiB | 00m00s [ 46/170] libselinux-0:3.9-2.fc43.ppc64 100% | 254.1 KiB/s | 112.1 KiB | 00m00s [ 47/170] glibc-gconv-extra-0:2.42-1.fc 100% | 295.2 KiB/s | 1.6 MiB | 00m06s [ 48/170] libsepol-0:3.9-2.fc43.ppc64le 100% | 341.9 KiB/s | 380.8 KiB | 00m01s [ 49/170] ncurses-base-0:6.5-7.20250614 100% | 155.7 KiB/s | 63.7 KiB | 00m00s [ 50/170] ncurses-libs-0:6.5-7.20250614 100% | 358.7 KiB/s | 383.4 KiB | 00m01s [ 51/170] audit-libs-0:4.1.1-1.fc43.ppc 100% | 209.1 KiB/s | 155.6 KiB | 00m01s [ 52/170] systemd-libs-0:257.7-1.fc43.p 100% | 291.9 KiB/s | 847.7 KiB | 00m03s [ 53/170] pam-libs-0:1.7.1-3.fc43.ppc64 100% | 200.6 KiB/s | 63.6 KiB | 00m00s [ 54/170] libeconf-0:0.7.9-2.fc43.ppc64 100% | 191.8 KiB/s | 40.3 KiB | 00m00s [ 55/170] libcap-ng-0:0.8.5-6.fc43.ppc6 100% | 149.0 KiB/s | 33.4 KiB | 00m00s [ 56/170] zlib-ng-compat-0:2.2.4-3.fc43 100% | 249.4 KiB/s | 80.8 KiB | 00m00s [ 57/170] bzip2-libs-0:1.0.8-21.fc43.pp 100% | 238.1 KiB/s | 49.3 KiB | 00m00s [ 58/170] librtas-0:2.0.6-4.fc43.ppc64l 100% | 153.9 KiB/s | 80.9 KiB | 00m01s [ 59/170] libacl-0:2.3.2-4.fc43.ppc64le 100% | 130.7 KiB/s | 26.5 KiB | 00m00s [ 60/170] readline-0:8.3-2.fc43.ppc64le 100% | 381.4 KiB/s | 243.7 KiB | 00m01s [ 61/170] libcap-0:2.76-2.fc43.ppc64le 100% | 301.4 KiB/s | 94.6 KiB | 00m00s [ 62/170] setup-0:2.15.0-26.fc43.noarch 100% | 243.5 KiB/s | 151.2 KiB | 00m01s [ 63/170] libsemanage-0:3.9-2.fc43.ppc6 100% | 204.5 KiB/s | 135.0 KiB | 00m01s [ 64/170] gpgverify-0:2.2-3.fc43.noarch 100% | 64.6 KiB/s | 11.1 KiB | 00m00s [ 65/170] gnupg2-dirmngr-0:2.4.8-4.fc43 100% | 619.4 KiB/s | 315.9 KiB | 00m01s [ 66/170] libstdc++-0:15.1.1-5.fc43.1.p 100% | 582.0 KiB/s | 1.0 MiB | 00m02s [ 67/170] gnupg2-gpg-agent-0:2.4.8-4.fc 100% | 618.1 KiB/s | 306.0 KiB | 00m00s [ 68/170] gnupg2-gpgconf-0:2.4.8-4.fc43 100% | 404.5 KiB/s | 125.0 KiB | 00m00s [ 69/170] gnupg2-keyboxd-0:2.4.8-4.fc43 100% | 335.8 KiB/s | 103.4 KiB | 00m00s [ 70/170] ima-evm-utils-libs-0:1.6.2-6. 100% | 144.8 KiB/s | 30.1 KiB | 00m00s [ 71/170] gnupg2-verify-0:2.4.8-4.fc43. 100% | 477.9 KiB/s | 185.9 KiB | 00m00s [ 72/170] libfsverity-0:1.6-3.fc43.ppc6 100% | 105.6 KiB/s | 19.1 KiB | 00m00s [ 73/170] popt-0:1.19-9.fc43.ppc64le 100% | 388.5 KiB/s | 63.7 KiB | 00m00s [ 74/170] libzstd-0:1.5.7-2.fc43.ppc64l 100% | 866.1 KiB/s | 356.9 KiB | 00m00s [ 75/170] lua-libs-0:5.4.8-2.fc43.ppc64 100% | 455.5 KiB/s | 148.5 KiB | 00m00s [ 76/170] gnupg2-0:2.4.8-4.fc43.ppc64le 100% | 522.5 KiB/s | 1.7 MiB | 00m03s [ 77/170] sqlite-libs-0:3.50.2-2.fc43.p 100% | 1.2 MiB/s | 870.0 KiB | 00m01s [ 78/170] elfutils-libelf-0:0.193-3.fc4 100% | 758.7 KiB/s | 216.2 KiB | 00m00s [ 79/170] elfutils-libs-0:0.193-3.fc43. 100% | 326.0 KiB/s | 310.0 KiB | 00m01s [ 80/170] elfutils-0:0.193-3.fc43.ppc64 100% | 676.2 KiB/s | 566.0 KiB | 00m01s [ 81/170] elfutils-debuginfod-client-0: 100% | 191.1 KiB/s | 49.9 KiB | 00m00s [ 82/170] libgomp-0:15.1.1-5.fc43.1.ppc 100% | 617.8 KiB/s | 384.9 KiB | 00m01s [ 83/170] file-0:5.46-6.fc43.ppc64le 100% | 272.4 KiB/s | 49.6 KiB | 00m00s [ 84/170] rpm-sequoia-0:1.9.0-2.fc43.pp 100% | 574.0 KiB/s | 1.6 MiB | 00m03s [ 85/170] alternatives-0:1.33-2.fc43.pp 100% | 226.2 KiB/s | 43.7 KiB | 00m00s [ 86/170] jansson-0:2.14-3.fc43.ppc64le 100% | 247.3 KiB/s | 50.7 KiB | 00m00s [ 87/170] debugedit-0:5.2-2.fc43.ppc64l 100% | 262.5 KiB/s | 84.3 KiB | 00m00s [ 88/170] file-libs-0:5.46-6.fc43.ppc64 100% | 524.7 KiB/s | 862.0 KiB | 00m02s [ 89/170] libarchive-0:3.8.1-3.fc43.ppc 100% | 600.4 KiB/s | 494.2 KiB | 00m01s [ 90/170] pkgconf-pkg-config-0:2.3.0-3. 100% | 54.2 KiB/s | 9.5 KiB | 00m00s [ 91/170] zstd-0:1.5.7-2.fc43.ppc64le 100% | 595.9 KiB/s | 527.4 KiB | 00m01s [ 92/170] pkgconf-0:2.3.0-3.fc43.ppc64l 100% | 217.5 KiB/s | 45.2 KiB | 00m00s [ 93/170] pkgconf-m4-0:2.3.0-3.fc43.noa 100% | 67.2 KiB/s | 13.9 KiB | 00m00s [ 94/170] libpkgconf-0:2.3.0-3.fc43.ppc 100% | 198.4 KiB/s | 42.9 KiB | 00m00s [ 95/170] build-reproducibility-srpm-ma 100% | 36.3 KiB/s | 11.8 KiB | 00m00s [ 96/170] curl-0:8.15.0-2.fc43.ppc64le 100% | 447.8 KiB/s | 242.7 KiB | 00m01s [ 97/170] efi-srpm-macros-0:6-4.fc43.no 100% | 97.8 KiB/s | 22.4 KiB | 00m00s [ 98/170] forge-srpm-macros-0:0.4.0-3.f 100% | 101.5 KiB/s | 20.1 KiB | 00m00s [ 99/170] go-srpm-macros-0:3.7.0-4.fc43 100% | 132.7 KiB/s | 28.1 KiB | 00m00s [100/170] pyproject-srpm-macros-0:1.18. 100% | 58.6 KiB/s | 13.4 KiB | 00m00s [101/170] qt5-srpm-macros-0:5.15.17-2.f 100% | 44.6 KiB/s | 8.7 KiB 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512.2 KiB/s | 103.0 KiB | 00m00s [128/170] libassuan-0:2.5.7-4.fc43.ppc6 100% | 370.4 KiB/s | 71.5 KiB | 00m00s [129/170] libgcrypt-0:1.11.1-2.fc43.ppc 100% | 2.1 MiB/s | 666.2 KiB | 00m00s [130/170] tpm2-tss-0:4.1.3-8.fc43.ppc64 100% | 555.3 KiB/s | 394.8 KiB | 00m01s [131/170] libgpg-error-0:1.55-2.fc43.pp 100% | 1.1 MiB/s | 251.8 KiB | 00m00s [132/170] npth-0:1.8-3.fc43.ppc64le 100% | 112.9 KiB/s | 25.2 KiB | 00m00s [133/170] libksba-0:1.6.7-4.fc43.ppc64l 100% | 793.4 KiB/s | 177.7 KiB | 00m00s [134/170] nettle-0:3.10.1-2.fc43.ppc64l 100% | 1.5 MiB/s | 461.0 KiB | 00m00s [135/170] openldap-0:2.6.10-3.fc43.ppc6 100% | 1.4 MiB/s | 289.3 KiB | 00m00s [136/170] gmp-1:6.3.0-4.fc43.ppc64le 100% | 1.4 MiB/s | 321.3 KiB | 00m00s [137/170] mpfr-0:4.2.2-2.fc43.ppc64le 100% | 1.6 MiB/s | 362.2 KiB | 00m00s [138/170] elfutils-default-yama-scope-0 100% | 61.2 KiB/s | 12.4 KiB | 00m00s [139/170] json-c-0:0.18-7.fc43.ppc64le 100% | 243.9 KiB/s | 49.5 KiB | 00m00s [140/170] libusb1-0:1.0.28-2.fc43.ppc64 100% | 403.5 KiB/s | 84.7 KiB | 00m00s [141/170] crypto-policies-0:20250714-3. 100% | 357.9 KiB/s | 74.8 KiB | 00m00s [142/170] gnutls-0:3.8.10-3.fc43.ppc64l 100% | 747.0 KiB/s | 1.4 MiB | 00m02s [143/170] cyrus-sasl-lib-0:2.1.28-33.fc 100% | 543.4 KiB/s | 902.0 KiB | 00m02s [144/170] libevent-0:2.1.12-16.fc43.ppc 100% | 653.4 KiB/s | 274.4 KiB | 00m00s [145/170] libtool-ltdl-0:2.5.4-7.fc43.p 100% | 169.3 KiB/s | 39.6 KiB | 00m00s [146/170] libidn2-0:2.3.8-2.fc43.ppc64l 100% | 522.4 KiB/s | 171.3 KiB | 00m00s [147/170] libtasn1-0:4.20.0-2.fc43.ppc6 100% | 374.0 KiB/s | 81.2 KiB | 00m00s [148/170] ca-certificates-0:2024.2.69_v 100% | 278.9 KiB/s | 944.0 KiB | 00m03s [149/170] libunistring-0:1.1-10.fc43.pp 100% | 860.2 KiB/s | 575.4 KiB | 00m01s [150/170] p11-kit-trust-0:0.25.5-9.fc43 100% | 495.6 KiB/s | 148.7 KiB | 00m00s [151/170] binutils-0:2.45-1.fc43.ppc64l 100% | 440.9 KiB/s | 6.6 MiB | 00m15s [152/170] gdbm-libs-1:1.23-10.fc43.ppc6 100% | 290.2 KiB/s | 61.8 KiB | 00m00s [153/170] libffi-0:3.5.1-2.fc43.ppc64le 100% | 184.6 KiB/s | 41.9 KiB | 00m00s [154/170] systemd-standalone-sysusers-0 100% | 667.5 KiB/s | 141.5 KiB | 00m00s [155/170] fedora-release-0:43-0.19.noar 100% | 27.0 KiB/s | 14.3 KiB | 00m01s [156/170] p11-kit-0:0.25.5-9.fc43.ppc64 100% | 321.7 KiB/s | 479.9 KiB | 00m01s [157/170] xxhash-libs-0:0.8.3-3.fc43.pp 100% | 120.0 KiB/s | 37.8 KiB | 00m00s [158/170] fedora-release-identity-basic 100% | 66.8 KiB/s | 15.1 KiB | 00m00s [159/170] libnghttp2-0:1.66.0-2.fc43.pp 100% | 254.5 KiB/s | 79.9 KiB | 00m00s [160/170] libcurl-0:8.15.0-2.fc43.ppc64 100% | 700.2 KiB/s | 457.2 KiB | 00m01s [161/170] libssh-config-0:0.11.2-1.fc43 100% | 40.2 KiB/s | 8.9 KiB | 00m00s [162/170] libssh-0:0.11.2-1.fc43.ppc64l 100% | 349.4 KiB/s | 265.9 KiB | 00m01s [163/170] krb5-libs-0:1.21.3-7.fc43.ppc 100% | 554.8 KiB/s | 844.5 KiB | 00m02s [164/170] libpsl-0:0.21.5-6.fc43.ppc64l 100% | 317.7 KiB/s | 66.7 KiB | 00m00s [165/170] keyutils-libs-0:1.6.3-6.fc43. 100% | 151.4 KiB/s | 32.5 KiB | 00m00s [166/170] libbrotli-0:1.1.0-8.fc43.ppc6 100% | 229.7 KiB/s | 381.7 KiB | 00m02s [167/170] libverto-0:0.3.2-11.fc43.ppc6 100% | 96.9 KiB/s | 21.9 KiB | 00m00s [168/170] libcom_err-0:1.47.3-2.fc43.pp 100% | 62.8 KiB/s | 27.1 KiB | 00m00s [169/170] publicsuffix-list-dafsa-0:202 100% | 94.8 KiB/s | 59.2 KiB | 00m01s [170/170] gdb-minimal-0:16.3-4.fc43.ppc 100% | 723.9 KiB/s | 4.7 MiB | 00m07s -------------------------------------------------------------------------------- [170/170] Total 100% | 1.0 MiB/s | 63.5 MiB | 01m01s Running transaction [ 1/172] Verify package files 100% | 193.0 B/s | 170.0 B | 00m01s [ 2/172] Prepare transaction 100% | 1.1 KiB/s | 170.0 B | 00m00s [ 3/172] Installing libgcc-0:15.1.1-5. 100% | 70.3 MiB/s | 288.1 KiB | 00m00s [ 4/172] Installing publicsuffix-list- 100% | 68.2 MiB/s | 69.8 KiB | 00m00s [ 5/172] Installing libssh-config-0:0. 100% | 796.9 KiB/s | 816.0 B | 00m00s [ 6/172] Installing 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xz-1:5.8.1-2.fc43. 100% | 29.4 MiB/s | 1.4 MiB | 00m00s [ 83/172] Installing libmount-0:2.41.1- 100% | 89.4 MiB/s | 549.3 KiB | 00m00s [ 84/172] Installing lz4-libs-0:1.10.0- 100% | 85.4 MiB/s | 262.2 KiB | 00m00s [ 85/172] Installing json-c-0:0.18-7.fc 100% | 45.5 MiB/s | 139.8 KiB | 00m00s [ 86/172] Installing libffi-0:3.5.1-2.f 100% | 85.2 MiB/s | 348.8 KiB | 00m00s [ 87/172] Installing p11-kit-0:0.25.5-9 100% | 48.6 MiB/s | 2.8 MiB | 00m00s [ 88/172] Installing p11-kit-trust-0:0. 100% | 13.6 MiB/s | 528.7 KiB | 00m00s [ 89/172] Installing zstd-0:1.5.7-2.fc4 100% | 44.2 MiB/s | 1.9 MiB | 00m00s [ 90/172] Installing util-linux-core-0: 100% | 47.7 MiB/s | 2.5 MiB | 00m00s [ 91/172] Installing tar-2:1.35-6.fc43. 100% | 56.9 MiB/s | 3.1 MiB | 00m00s [ 92/172] Installing libsemanage-0:3.9- 100% | 83.1 MiB/s | 425.7 KiB | 00m00s [ 93/172] Installing systemd-standalone 100% | 10.7 MiB/s | 329.9 KiB | 00m00s [ 94/172] Installing libusb1-0:1.0.28-2 100% | 59.6 MiB/s | 244.2 KiB | 00m00s [ 95/172] Installing zip-0:3.0-44.fc43. 100% | 24.2 MiB/s | 893.7 KiB | 00m00s [ 96/172] Installing gnupg2-keyboxd-0:2 100% | 32.4 MiB/s | 298.5 KiB | 00m00s [ 97/172] Installing libpsl-0:0.21.5-6. 100% | 43.4 MiB/s | 133.2 KiB | 00m00s [ 98/172] Installing liblastlog2-0:2.41 100% | 17.0 MiB/s | 139.5 KiB | 00m00s [ 99/172] Installing libfdisk-0:2.41.1- 100% | 94.6 MiB/s | 484.1 KiB | 00m00s [100/172] Installing nettle-0:3.10.1-2. 100% | 78.2 MiB/s | 960.9 KiB | 00m00s [101/172] Installing gnutls-0:3.8.10-3. 100% | 117.8 MiB/s | 4.0 MiB | 00m00s [102/172] Installing libxml2-0:2.12.10- 100% | 48.2 MiB/s | 2.3 MiB | 00m00s [103/172] Installing bzip2-0:1.0.8-21.f 100% | 5.5 MiB/s | 175.7 KiB | 00m00s [104/172] Installing add-determinism-0: 100% | 51.8 MiB/s | 2.5 MiB | 00m00s [105/172] Installing build-reproducibil 100% | 1.0 MiB/s | 1.0 KiB | 00m00s [106/172] Installing filesystem-srpm-ma 100% | 19.0 MiB/s | 38.9 KiB | 00m00s [107/172] Installing ed-0:1.22-2.fc43.p 100% | 7.2 MiB/s | 221.3 KiB | 00m00s [108/172] Installing patch-0:2.8-2.fc43 100% | 8.3 MiB/s | 264.0 KiB | 00m00s [109/172] Installing elfutils-default-y 100% | 340.5 KiB/s | 2.0 KiB | 00m00s [110/172] Installing elfutils-libs-0:0. 100% | 95.1 MiB/s | 876.4 KiB | 00m00s [111/172] Installing cpio-0:2.15-6.fc43 100% | 27.6 MiB/s | 1.2 MiB | 00m00s [112/172] Installing diffutils-0:3.12-3 100% | 36.6 MiB/s | 1.7 MiB | 00m00s [113/172] Installing librtas-0:2.0.6-4. 100% | 27.3 MiB/s | 307.5 KiB | 00m00s [114/172] Installing libgomp-0:15.1.1-5 100% | 89.9 MiB/s | 644.2 KiB | 00m00s [115/172] Installing jansson-0:2.14-3.f 100% | 51.6 MiB/s | 158.4 KiB | 00m00s [116/172] Installing libpkgconf-0:2.3.0 100% | 65.9 MiB/s | 135.0 KiB | 00m00s [117/172] Installing pkgconf-0:2.3.0-3. 100% | 3.7 MiB/s | 114.8 KiB | 00m00s [118/172] Installing pkgconf-pkg-config 100% | 61.2 KiB/s | 1.8 KiB | 00m00s [119/172] Installing libtool-ltdl-0:2.5 100% | 46.4 MiB/s | 95.0 KiB | 00m00s [120/172] Installing gdbm-libs-1:1.23-1 100% | 57.4 MiB/s | 235.2 KiB | 00m00s [121/172] Installing cyrus-sasl-lib-0:2 100% | 56.1 MiB/s | 2.9 MiB | 00m00s [122/172] Installing xxhash-libs-0:0.8. 100% | 42.5 MiB/s | 87.0 KiB | 00m00s [123/172] Installing libnghttp2-0:1.66. 100% | 64.8 MiB/s | 199.0 KiB | 00m00s [124/172] Installing libbrotli-0:1.1.0- 100% | 95.2 MiB/s | 975.0 KiB | 00m00s [125/172] Installing keyutils-libs-0:1. 100% | 48.5 MiB/s | 99.4 KiB | 00m00s [126/172] Installing libcom_err-0:1.47. 100% | 54.8 MiB/s | 112.1 KiB | 00m00s [127/172] Installing libverto-0:0.3.2-1 100% | 23.1 MiB/s | 70.9 KiB | 00m00s [128/172] Installing coreutils-common-0 100% | 112.9 MiB/s | 11.3 MiB | 00m00s [129/172] Installing openssl-libs-1:3.5 100% | 124.0 MiB/s | 9.0 MiB | 00m00s [130/172] Installing coreutils-0:9.7-5. 100% | 85.6 MiB/s | 9.4 MiB | 00m00s [131/172] Installing ca-certificates-0: 100% | 890.7 KiB/s | 2.4 MiB | 00m03s [132/172] Installing libarchive-0:3.8.1 100% | 84.5 MiB/s | 1.3 MiB | 00m00s [133/172] Installing krb5-libs-0:1.21.3 100% | 99.0 MiB/s | 3.0 MiB | 00m00s [134/172] Installing tpm2-tss-0:4.1.3-8 100% | 107.4 MiB/s | 2.5 MiB | 00m00s [135/172] Installing gnupg2-gpg-agent-0 100% | 23.3 MiB/s | 979.0 KiB | 00m00s [136/172] Installing ima-evm-utils-libs 100% | 30.6 MiB/s | 93.9 KiB | 00m00s [137/172] Installing libssh-0:0.11.2-1. 100% | 87.5 MiB/s | 716.8 KiB | 00m00s [138/172] Installing gzip-0:1.13-4.fc43 100% | 12.4 MiB/s | 430.2 KiB | 00m00s [139/172] Installing libfsverity-0:1.6- 100% | 33.7 MiB/s | 69.1 KiB | 00m00s [140/172] Installing rpm-sequoia-0:1.9. 100% | 117.0 MiB/s | 4.9 MiB | 00m00s [141/172] Installing rpm-libs-0:5.99.91 100% | 102.0 MiB/s | 1.2 MiB | 00m00s [142/172] Installing libevent-0:2.1.12- 100% | 100.8 MiB/s | 1.2 MiB | 00m00s [143/172] Installing openldap-0:2.6.10- 100% | 79.3 MiB/s | 893.6 KiB | 00m00s [144/172] Installing libcurl-0:8.15.0-2 100% | 95.4 MiB/s | 1.1 MiB | 00m00s [145/172] Installing elfutils-debuginfo 100% | 4.7 MiB/s | 145.7 KiB | 00m00s [146/172] Installing elfutils-0:0.193-3 100% | 62.8 MiB/s | 3.5 MiB | 00m00s [147/172] Installing binutils-0:2.45-1. 100% | 120.8 MiB/s | 32.3 MiB | 00m00s [148/172] Installing gdb-minimal-0:16.3 100% | 107.3 MiB/s | 15.7 MiB | 00m00s [149/172] Installing debugedit-0:5.2-2. 100% | 10.6 MiB/s | 316.2 KiB | 00m00s [150/172] Installing curl-0:8.15.0-2.fc 100% | 11.6 MiB/s | 536.4 KiB | 00m00s [151/172] Installing rpm-0:5.99.91-2.fc 100% | 35.5 MiB/s | 2.7 MiB | 00m00s [152/172] Installing java-srpm-macros-0 100% | 1.1 MiB/s | 1.1 KiB | 00m00s [153/172] Installing efi-srpm-macros-0: 100% | 20.1 MiB/s | 41.1 KiB | 00m00s [154/172] Installing tree-sitter-srpm-m 100% | 9.1 MiB/s | 9.3 KiB | 00m00s [155/172] Installing lua-srpm-macros-0: 100% | 1.9 MiB/s | 1.9 KiB | 00m00s [156/172] Installing zig-srpm-macros-0: 100% | 1.6 MiB/s | 1.7 KiB | 00m00s [157/172] Installing gnupg2-dirmngr-0:2 100% | 21.1 MiB/s | 840.8 KiB | 00m00s [158/172] Installing gnupg2-0:2.4.8-4.f 100% | 82.2 MiB/s | 6.9 MiB | 00m00s [159/172] Installing rpm-sign-libs-0:5. 100% | 33.4 MiB/s | 68.5 KiB | 00m00s [160/172] Installing rpm-build-libs-0:5 100% | 80.3 MiB/s | 328.9 KiB | 00m00s [161/172] Installing gpgverify-0:2.2-3. 100% | 9.2 MiB/s | 9.4 KiB | 00m00s [162/172] Installing forge-srpm-macros- 100% | 19.7 MiB/s | 40.3 KiB | 00m00s [163/172] Installing go-srpm-macros-0:3 100% | 30.6 MiB/s | 62.7 KiB | 00m00s [164/172] Installing fonts-srpm-macros- 100% | 27.8 MiB/s | 57.0 KiB | 00m00s [165/172] Installing python-srpm-macros 100% | 25.8 MiB/s | 52.8 KiB | 00m00s [166/172] Installing redhat-rpm-config- 100% | 30.8 MiB/s | 189.3 KiB | 00m00s [167/172] Installing rpm-build-0:5.99.9 100% | 18.2 MiB/s | 670.3 KiB | 00m00s [168/172] Installing pyproject-srpm-mac 100% | 626.0 KiB/s | 2.5 KiB | 00m00s [169/172] Installing util-linux-0:2.41. 100% | 67.1 MiB/s | 7.0 MiB | 00m00s [170/172] Installing which-0:2.23-3.fc4 100% | 4.1 MiB/s | 125.5 KiB | 00m00s [171/172] Installing shadow-utils-2:4.1 100% | 52.9 MiB/s | 4.9 MiB | 00m00s [172/172] Installing info-0:7.2-4.fc43. 100% | 130.8 KiB/s | 485.8 KiB | 00m04s Warning: skipped OpenPGP checks for 170 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-0.6.0-2.fc43.ppc64le alternatives-1.33-2.fc43.ppc64le ansible-srpm-macros-1-18.1.fc43.noarch audit-libs-4.1.1-1.fc43.ppc64le bash-5.3.0-2.fc43.ppc64le binutils-2.45-1.fc43.ppc64le build-reproducibility-srpm-macros-0.6.0-2.fc43.noarch bzip2-1.0.8-21.fc43.ppc64le bzip2-libs-1.0.8-21.fc43.ppc64le ca-certificates-2024.2.69_v8.0.401-7.fc43.noarch coreutils-9.7-5.fc43.ppc64le coreutils-common-9.7-5.fc43.ppc64le cpio-2.15-6.fc43.ppc64le crypto-policies-20250714-3.gitcd6043a.fc43.noarch curl-8.15.0-2.fc43.ppc64le cyrus-sasl-lib-2.1.28-33.fc43.ppc64le debugedit-5.2-2.fc43.ppc64le diffutils-3.12-3.fc43.ppc64le dwz-0.16-2.fc43.ppc64le ed-1.22-2.fc43.ppc64le efi-srpm-macros-6-4.fc43.noarch elfutils-0.193-3.fc43.ppc64le elfutils-debuginfod-client-0.193-3.fc43.ppc64le elfutils-default-yama-scope-0.193-3.fc43.noarch elfutils-libelf-0.193-3.fc43.ppc64le elfutils-libs-0.193-3.fc43.ppc64le fedora-gpg-keys-43-0.2.noarch fedora-release-43-0.19.noarch fedora-release-common-43-0.19.noarch fedora-release-identity-basic-43-0.19.noarch fedora-repos-43-0.2.noarch fedora-repos-rawhide-43-0.2.noarch file-5.46-6.fc43.ppc64le file-libs-5.46-6.fc43.ppc64le filesystem-3.18-45.fc43.ppc64le filesystem-srpm-macros-3.18-45.fc43.noarch findutils-4.10.0-6.fc43.ppc64le fonts-srpm-macros-2.0.5-23.fc43.noarch forge-srpm-macros-0.4.0-3.fc43.noarch fpc-srpm-macros-1.3-15.fc43.noarch gawk-5.3.2-2.fc43.ppc64le gdb-minimal-16.3-4.fc43.ppc64le gdbm-libs-1.23-10.fc43.ppc64le ghc-srpm-macros-1.9.2-3.fc43.noarch glibc-2.42-1.fc43.ppc64le glibc-common-2.42-1.fc43.ppc64le glibc-gconv-extra-2.42-1.fc43.ppc64le glibc-minimal-langpack-2.42-1.fc43.ppc64le gmp-6.3.0-4.fc43.ppc64le gnat-srpm-macros-6-8.fc43.noarch gnupg2-2.4.8-4.fc43.ppc64le gnupg2-dirmngr-2.4.8-4.fc43.ppc64le gnupg2-gpg-agent-2.4.8-4.fc43.ppc64le gnupg2-gpgconf-2.4.8-4.fc43.ppc64le gnupg2-keyboxd-2.4.8-4.fc43.ppc64le gnupg2-verify-2.4.8-4.fc43.ppc64le gnutls-3.8.10-3.fc43.ppc64le go-srpm-macros-3.7.0-4.fc43.noarch gpgverify-2.2-3.fc43.noarch grep-3.12-2.fc43.ppc64le gzip-1.13-4.fc43.ppc64le ima-evm-utils-libs-1.6.2-6.fc43.ppc64le info-7.2-4.fc43.ppc64le jansson-2.14-3.fc43.ppc64le java-srpm-macros-1-7.fc43.noarch json-c-0.18-7.fc43.ppc64le kernel-srpm-macros-1.0-27.fc43.noarch keyutils-libs-1.6.3-6.fc43.ppc64le krb5-libs-1.21.3-7.fc43.ppc64le libacl-2.3.2-4.fc43.ppc64le libarchive-3.8.1-3.fc43.ppc64le libassuan-2.5.7-4.fc43.ppc64le libattr-2.5.2-6.fc43.ppc64le libblkid-2.41.1-13.fc43.ppc64le libbrotli-1.1.0-8.fc43.ppc64le libcap-2.76-2.fc43.ppc64le libcap-ng-0.8.5-6.fc43.ppc64le libcom_err-1.47.3-2.fc43.ppc64le libcurl-8.15.0-2.fc43.ppc64le libeconf-0.7.9-2.fc43.ppc64le libevent-2.1.12-16.fc43.ppc64le libfdisk-2.41.1-13.fc43.ppc64le libffi-3.5.1-2.fc43.ppc64le libfsverity-1.6-3.fc43.ppc64le libgcc-15.1.1-5.fc43.1.ppc64le libgcrypt-1.11.1-2.fc43.ppc64le libgomp-15.1.1-5.fc43.1.ppc64le libgpg-error-1.55-2.fc43.ppc64le libidn2-2.3.8-2.fc43.ppc64le libksba-1.6.7-4.fc43.ppc64le liblastlog2-2.41.1-13.fc43.ppc64le libmount-2.41.1-13.fc43.ppc64le libnghttp2-1.66.0-2.fc43.ppc64le libpkgconf-2.3.0-3.fc43.ppc64le libpsl-0.21.5-6.fc43.ppc64le librtas-2.0.6-4.fc43.ppc64le libselinux-3.9-2.fc43.ppc64le libsemanage-3.9-2.fc43.ppc64le libsepol-3.9-2.fc43.ppc64le libsmartcols-2.41.1-13.fc43.ppc64le libssh-0.11.2-1.fc43.ppc64le libssh-config-0.11.2-1.fc43.noarch libstdc++-15.1.1-5.fc43.1.ppc64le libtasn1-4.20.0-2.fc43.ppc64le libtool-ltdl-2.5.4-7.fc43.ppc64le libunistring-1.1-10.fc43.ppc64le libusb1-1.0.28-2.fc43.ppc64le libuuid-2.41.1-13.fc43.ppc64le libverto-0.3.2-11.fc43.ppc64le libxcrypt-4.4.38-8.fc43.ppc64le libxml2-2.12.10-3.fc43.ppc64le libzstd-1.5.7-2.fc43.ppc64le lua-libs-5.4.8-2.fc43.ppc64le lua-srpm-macros-1-16.fc43.noarch lz4-libs-1.10.0-3.fc43.ppc64le mpfr-4.2.2-2.fc43.ppc64le ncurses-base-6.5-7.20250614.fc43.noarch ncurses-libs-6.5-7.20250614.fc43.ppc64le nettle-3.10.1-2.fc43.ppc64le npth-1.8-3.fc43.ppc64le ocaml-srpm-macros-11-2.fc43.noarch openblas-srpm-macros-2-20.fc43.noarch openldap-2.6.10-3.fc43.ppc64le openssl-libs-3.5.1-2.fc43.ppc64le p11-kit-0.25.5-9.fc43.ppc64le p11-kit-trust-0.25.5-9.fc43.ppc64le package-notes-srpm-macros-0.5-14.fc43.noarch pam-libs-1.7.1-3.fc43.ppc64le patch-2.8-2.fc43.ppc64le pcre2-10.45-1.fc43.1.ppc64le pcre2-syntax-10.45-1.fc43.1.noarch perl-srpm-macros-1-60.fc43.noarch pkgconf-2.3.0-3.fc43.ppc64le pkgconf-m4-2.3.0-3.fc43.noarch pkgconf-pkg-config-2.3.0-3.fc43.ppc64le popt-1.19-9.fc43.ppc64le publicsuffix-list-dafsa-20250616-2.fc43.noarch pyproject-srpm-macros-1.18.3-2.fc43.noarch python-srpm-macros-3.14-4.fc43.noarch qt5-srpm-macros-5.15.17-2.fc43.noarch qt6-srpm-macros-6.9.1-2.fc43.noarch readline-8.3-2.fc43.ppc64le redhat-rpm-config-343-10.fc43.noarch rpm-5.99.91-2.fc43.ppc64le rpm-build-5.99.91-2.fc43.ppc64le rpm-build-libs-5.99.91-2.fc43.ppc64le rpm-libs-5.99.91-2.fc43.ppc64le rpm-sequoia-1.9.0-2.fc43.ppc64le rpm-sign-libs-5.99.91-2.fc43.ppc64le rust-srpm-macros-26.3-5.fc43.noarch sed-4.9-5.fc43.ppc64le setup-2.15.0-26.fc43.noarch shadow-utils-4.18.0-3.fc43.ppc64le sqlite-libs-3.50.2-2.fc43.ppc64le systemd-libs-257.7-1.fc43.ppc64le systemd-standalone-sysusers-257.7-1.fc43.ppc64le tar-1.35-6.fc43.ppc64le tpm2-tss-4.1.3-8.fc43.ppc64le tree-sitter-srpm-macros-0.4.2-1.fc43.noarch unzip-6.0-67.fc43.ppc64le util-linux-2.41.1-13.fc43.ppc64le util-linux-core-2.41.1-13.fc43.ppc64le which-2.23-3.fc43.ppc64le xxhash-libs-0.8.3-3.fc43.ppc64le xz-5.8.1-2.fc43.ppc64le xz-libs-5.8.1-2.fc43.ppc64le zig-srpm-macros-1-5.fc43.noarch zip-3.0-44.fc43.ppc64le zlib-ng-compat-2.2.4-3.fc43.ppc64le zstd-1.5.7-2.fc43.ppc64le Start: buildsrpm Start: rpmbuild -bs Building target platforms: ppc64le Building for target ppc64le setting SOURCE_DATE_EPOCH=1753920000 Wrote: /builddir/build/SRPMS/python-scikit-learn-1.7.1-1.fc43.src.rpm Finish: rpmbuild -bs INFO: chroot_scan: 1 files copied to /var/lib/copr-rpmbuild/results/chroot_scan INFO: /var/lib/mock/fedora-41-ppc64le-1753924428.576737/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-d3oxqfuk/python-scikit-learn/python-scikit-learn.spec) Config(child) 2 minutes 59 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-1.7.1-1.fc43.src.rpm) Config(fedora-41-ppc64le) Start(bootstrap): chroot init INFO: mounting tmpfs at /var/lib/mock/fedora-41-ppc64le-bootstrap-1753924428.576737/root. INFO: reusing tmpfs at /var/lib/mock/fedora-41-ppc64le-bootstrap-1753924428.576737/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-41-ppc64le-1753924428.576737/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-4.20.1-1.fc41.ppc64le rpm-sequoia-1.7.0-5.fc41.ppc64le dnf5-5.2.13.1-1.fc41.ppc64le dnf5-plugins-5.2.13.1-1.fc41.ppc64le Finish: chroot init Start: build phase for python-scikit-learn-1.7.1-1.fc43.src.rpm Start: build setup for python-scikit-learn-1.7.1-1.fc43.src.rpm Building target platforms: ppc64le Building for target ppc64le setting SOURCE_DATE_EPOCH=1753920000 Wrote: /builddir/build/SRPMS/python-scikit-learn-1.7.1-1.fc43.src.rpm Updating and loading repositories: updates 100% | 173.2 KiB/s | 6.1 KiB | 00m00s fedora 100% | 199.1 KiB/s | 5.6 KiB | 00m00s Copr repository 100% | 35.6 KiB/s | 1.5 KiB | 00m00s Coprdir repository 100% | 32.1 KiB/s | 1.5 KiB | 00m00s Additional repo http_kojipkgs_fedorapr 100% | 7.8 KiB/s | 3.8 KiB | 00m00s Repositories loaded. Package Arch Version Repository Size Installing: gcc ppc64le 15.1.1-5.fc43.1 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 97.7 MiB gcc-c++ ppc64le 15.1.1-5.fc43.1 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 38.5 MiB python3-devel ppc64le 3.14.0~rc1-2.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.9 MiB python3-joblib noarch 1.5.1-4.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 2.3 MiB python3-pytest noarch 8.3.5-4.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 4.1 MiB python3-setuptools noarch 78.1.1-10.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 9.0 MiB python3-threadpoolctl noarch 3.5.0-8.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 137.4 KiB Installing dependencies: annobin-docs noarch 12.98-2.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 98.9 KiB annobin-plugin-gcc ppc64le 12.98-2.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.0 MiB cpp ppc64le 15.1.1-5.fc43.1 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 34.6 MiB expat ppc64le 2.7.1-3.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 353.9 KiB gcc-plugin-annobin ppc64le 15.1.1-5.fc43.1 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 68.9 KiB glibc-devel ppc64le 2.42-1.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 3.6 MiB kernel-headers ppc64le 6.16.0-65.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 6.6 MiB libasan ppc64le 15.1.1-5.fc43.1 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 2.1 MiB libatomic ppc64le 15.1.1-5.fc43.1 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 68.2 KiB libmpc ppc64le 1.3.1-8.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 281.6 KiB libstdc++-devel ppc64le 15.1.1-5.fc43.1 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 37.1 MiB libubsan ppc64le 15.1.1-5.fc43.1 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 668.7 KiB libxcrypt-devel ppc64le 4.4.38-8.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 30.8 KiB make ppc64le 1:4.4.1-11.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.9 MiB mpdecimal ppc64le 4.0.1-2.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 281.2 KiB pyproject-rpm-macros noarch 1.18.3-2.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 114.5 KiB python-pip-wheel noarch 25.1.1-14.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.2 MiB python-rpm-macros noarch 3.14-4.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 22.8 KiB python3 ppc64le 3.14.0~rc1-2.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 84.8 KiB python3-cloudpickle noarch 3.1.1-5.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 129.3 KiB python3-iniconfig noarch 2.1.0-1.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 42.4 KiB python3-libs ppc64le 3.14.0~rc1-2.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 46.2 MiB python3-packaging noarch 25.0-4.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 607.5 KiB python3-pluggy noarch 1.6.0-2.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 211.0 KiB python3-rpm-generators noarch 14-13.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 81.7 KiB python3-rpm-macros noarch 3.14-4.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 6.5 KiB tzdata noarch 2025b-3.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.6 MiB Transaction Summary: Installing: 34 packages Total size of inbound packages is 85 MiB. Need to download 85 MiB. After this operation, 293 MiB extra will be used (install 293 MiB, remove 0 B). [ 1/34] python3-devel-0:3.14.0~rc1-2.fc 100% | 277.7 KiB/s | 386.3 KiB | 00m01s [ 2/34] python3-joblib-0:1.5.1-4.fc43.n 100% | 526.5 KiB/s | 543.8 KiB | 00m01s [ 3/34] gcc-0:15.1.1-5.fc43.1.ppc64le 100% | 8.4 MiB/s | 34.7 MiB | 00m04s [ 4/34] python3-threadpoolctl-0:3.5.0-8 100% | 205.7 KiB/s | 44.8 KiB | 00m00s [ 5/34] cpp-0:15.1.1-5.fc43.1.ppc64le 100% | 3.9 MiB/s | 11.3 MiB | 00m03s [ 6/34] python3-setuptools-0:78.1.1-10. 100% | 357.8 KiB/s | 1.9 MiB | 00m05s [ 7/34] python3-0:3.14.0~rc1-2.fc43.ppc 100% | 75.9 KiB/s | 27.4 KiB | 00m00s [ 8/34] libstdc++-devel-0:15.1.1-5.fc43 100% | 712.7 KiB/s | 5.1 MiB | 00m07s [ 9/34] python3-cloudpickle-0:3.1.1-5.f 100% | 254.2 KiB/s | 48.1 KiB | 00m00s [10/34] mpdecimal-0:4.0.1-2.fc43.ppc64l 100% | 345.7 KiB/s | 112.4 KiB | 00m00s [11/34] python3-pytest-0:8.3.5-4.fc43.n 100% | 569.9 KiB/s | 773.9 KiB | 00m01s [12/34] python3-iniconfig-0:2.1.0-1.fc4 100% | 110.6 KiB/s | 22.7 KiB | 00m00s [13/34] python3-packaging-0:25.0-4.fc43 100% | 136.8 KiB/s | 151.0 KiB | 00m01s [14/34] python3-pluggy-0:1.6.0-2.fc43.n 100% | 134.5 KiB/s | 55.9 KiB | 00m00s [15/34] expat-0:2.7.1-3.fc43.ppc64le 100% | 281.3 KiB/s | 122.1 KiB | 00m00s [16/34] tzdata-0:2025b-3.fc43.noarch 100% | 537.3 KiB/s | 429.3 KiB | 00m01s [17/34] python-pip-wheel-0:25.1.1-14.fc 100% | 807.6 KiB/s | 1.2 MiB | 00m02s [18/34] libmpc-0:1.3.1-8.fc43.ppc64le 100% | 62.1 KiB/s | 96.1 KiB | 00m02s [19/34] glibc-devel-0:2.42-1.fc43.ppc64 100% | 237.1 KiB/s | 531.1 KiB | 00m02s [20/34] libasan-0:15.1.1-5.fc43.1.ppc64 100% | 314.0 KiB/s | 541.9 KiB | 00m02s [21/34] libatomic-0:15.1.1-5.fc43.1.ppc 100% | 194.5 KiB/s | 42.0 KiB | 00m00s [22/34] libubsan-0:15.1.1-5.fc43.1.ppc6 100% | 363.9 KiB/s | 273.3 KiB | 00m01s [23/34] make-1:4.4.1-11.fc43.ppc64le 100% | 427.6 KiB/s | 595.2 KiB | 00m01s [24/34] python3-libs-0:3.14.0~rc1-2.fc4 100% | 473.7 KiB/s | 9.6 MiB | 00m21s [25/34] libxcrypt-devel-0:4.4.38-8.fc43 100% | 65.0 KiB/s | 29.1 KiB | 00m00s [26/34] gcc-c++-0:15.1.1-5.fc43.1.ppc64 100% | 470.3 KiB/s | 13.6 MiB | 00m30s [27/34] gcc-plugin-annobin-0:15.1.1-5.f 100% | 153.9 KiB/s | 57.3 KiB | 00m00s [28/34] pyproject-rpm-macros-0:1.18.3-2 100% | 205.3 KiB/s | 44.3 KiB | 00m00s [29/34] python-rpm-macros-0:3.14-4.fc43 100% | 78.1 KiB/s | 17.2 KiB | 00m00s [30/34] python3-rpm-macros-0:3.14-4.fc4 100% | 57.3 KiB/s | 11.7 KiB | 00m00s [31/34] python3-rpm-generators-0:14-13. 100% | 136.5 KiB/s | 28.5 KiB | 00m00s [32/34] annobin-docs-0:12.98-2.fc43.noa 100% | 270.2 KiB/s | 89.7 KiB | 00m00s [33/34] annobin-plugin-gcc-0:12.98-2.fc 100% | 313.6 KiB/s | 998.8 KiB | 00m03s [34/34] kernel-headers-0:6.16.0-65.fc43 100% | 336.6 KiB/s | 1.5 MiB | 00m05s -------------------------------------------------------------------------------- [34/34] Total 100% | 2.5 MiB/s | 84.9 MiB | 00m33s Running transaction [ 1/36] Verify package files 100% | 31.0 B/s | 34.0 B | 00m01s [ 2/36] Prepare transaction 100% | 248.0 B/s | 34.0 B | 00m00s [ 3/36] Installing python-rpm-macros-0: 100% | 11.5 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100% | 124.7 MiB/s | 97.8 MiB | 00m01s [17/36] Installing python-pip-wheel-0:2 100% | 95.8 MiB/s | 1.2 MiB | 00m00s [18/36] Installing tzdata-0:2025b-3.fc4 100% | 14.7 MiB/s | 1.9 MiB | 00m00s [19/36] Installing expat-0:2.7.1-3.fc43 100% | 10.2 MiB/s | 356.0 KiB | 00m00s [20/36] Installing mpdecimal-0:4.0.1-2. 100% | 23.0 MiB/s | 282.8 KiB | 00m00s [21/36] Installing python3-libs-0:3.14. 100% | 98.3 MiB/s | 46.6 MiB | 00m00s [22/36] Installing python3-0:3.14.0~rc1 100% | 2.6 MiB/s | 86.6 KiB | 00m00s [23/36] Installing python3-packaging-0: 100% | 55.0 MiB/s | 620.0 KiB | 00m00s [24/36] Installing python3-rpm-generato 100% | 27.0 MiB/s | 82.9 KiB | 00m00s [25/36] Installing python3-cloudpickle- 100% | 32.5 MiB/s | 133.2 KiB | 00m00s [26/36] Installing python3-iniconfig-0: 100% | 15.1 MiB/s | 46.5 KiB | 00m00s [27/36] Installing python3-pluggy-0:1.6 100% | 26.5 MiB/s | 217.5 KiB | 00m00s [28/36] Installing libstdc++-devel-0:15 100% | 127.4 MiB/s | 37.2 MiB | 00m00s [29/36] Installing gcc-c++-0:15.1.1-5.f 100% | 114.0 MiB/s | 38.5 MiB | 00m00s [30/36] Installing python3-pytest-0:8.3 100% | 54.4 MiB/s | 4.1 MiB | 00m00s [31/36] Installing python3-joblib-0:1.5 100% | 55.0 MiB/s | 2.3 MiB | 00m00s [32/36] Installing python3-devel-0:3.14 100% | 29.3 MiB/s | 2.0 MiB | 00m00s [33/36] Installing python3-setuptools-0 100% | 64.9 MiB/s | 9.2 MiB | 00m00s [34/36] Installing python3-threadpoolct 100% | 45.4 MiB/s | 139.6 KiB | 00m00s [35/36] Installing gcc-plugin-annobin-0 100% | 4.1 MiB/s | 70.6 KiB | 00m00s [36/36] Installing annobin-plugin-gcc-0 100% | 4.2 MiB/s | 1.0 MiB | 00m00s Warning: skipped OpenPGP checks for 34 packages from repository: http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch Complete! Finish: build setup for python-scikit-learn-1.7.1-1.fc43.src.rpm Start: rpmbuild python-scikit-learn-1.7.1-1.fc43.src.rpm Building target platforms: ppc64le Building for target ppc64le setting SOURCE_DATE_EPOCH=1753920000 Executing(%mkbuilddir): /bin/sh -e /var/tmp/rpm-tmp.1l83H7 Executing(%prep): /bin/sh -e /var/tmp/rpm-tmp.eXveA3 + umask 022 + cd /builddir/build/BUILD/python-scikit-learn-1.7.1-build + cd /builddir/build/BUILD/python-scikit-learn-1.7.1-build + rm -rf scikit_learn-1.7.1 + /usr/lib/rpm/rpmuncompress -x /builddir/build/SOURCES/scikit_learn-1.7.1.tar.gz + STATUS=0 + '[' 0 -ne 0 ']' + cd scikit_learn-1.7.1 + /usr/bin/chmod -Rf a+rX,u+w,g-w,o-w . + sed -i -e 's|numpy>=2,<2.3.0|numpy|' pyproject.toml + sed -i -e 's|Cython>=3.0.10|Cython>=3.0.9|' pyproject.toml + sed -i -e 's|CYTHON_MIN_VERSION = "3.0.10"|CYTHON_MIN_VERSION = "3.0.9"|' sklearn/_min_dependencies.py + 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.lNP6DS + umask 022 + cd /builddir/build/BUILD/python-scikit-learn-1.7.1-build + cd scikit_learn-1.7.1 + 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-1.7.1-build/scikit_learn-1.7.1/.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 -mcpu=power8 -mtune=power8 -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 -mcpu=power8 -mtune=power8 -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 -mcpu=power8 -mtune=power8 -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 -mcpu=power8 -mtune=power8 -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,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-hardened-ld-errors -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-1.7.1-build/scikit_learn-1.7.1/.pyproject-builddir + RPM_TOXENV=py314 + FEDORA=43 + 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-1.7.1-build/scikit_learn-1.7.1/pyproject-wheeldir --output /builddir/build/BUILD/python-scikit-learn-1.7.1-build/python-scikit-learn-1.7.1-1.fc43.ppc64le-pyproject-buildrequires -p Handling meson-python>=0.16.0,<0.19.0 from build-system.requires Requirement not satisfied: meson-python>=0.16.0,<0.19.0 Handling Cython>=3.0.9,<3.2.0 from build-system.requires Requirement not satisfied: Cython>=3.0.9,<3.2.0 Handling numpy from build-system.requires Requirement not satisfied: numpy Handling scipy>=1.8.0,<1.16.0 from build-system.requires Requirement not satisfied: scipy>=1.8.0,<1.16.0 Exiting dependency generation pass: build backend + cat /builddir/build/BUILD/python-scikit-learn-1.7.1-build/python-scikit-learn-1.7.1-1.fc43.ppc64le-pyproject-buildrequires + rm -rfv '*.dist-info/' + RPM_EC=0 ++ jobs -p + exit 0 Wrote: /builddir/build/SRPMS/python-scikit-learn-1.7.1-1.fc43.buildreqs.nosrc.rpm INFO: Going to install missing dynamic buildrequires Updating and loading repositories: updates 100% | 131.8 KiB/s | 6.1 KiB | 00m00s fedora 100% | 185.8 KiB/s | 5.6 KiB | 00m00s Copr repository 100% | 18.2 KiB/s | 1.5 KiB | 00m00s Coprdir repository 100% | 21.6 KiB/s | 1.5 KiB | 00m00s Additional repo http_kojipkgs_fedorapr 100% | 7.6 KiB/s | 3.8 KiB | 00m01s Repositories loaded. Package "gcc-15.1.1-5.fc43.1.ppc64le" is already installed. Package "gcc-c++-15.1.1-5.fc43.1.ppc64le" is already installed. Package "pyproject-rpm-macros-1.18.3-2.fc43.noarch" is already installed. Package "python3-devel-3.14.0~rc1-2.fc43.ppc64le" is already installed. Package "python3-joblib-1.5.1-4.fc43.noarch" is already installed. Package "python3-packaging-25.0-4.fc43.noarch" is already installed. Package "python3-pytest-8.3.5-4.fc43.noarch" is already installed. Package "python3-setuptools-78.1.1-10.fc43.noarch" is already installed. Package "python3-threadpoolctl-3.5.0-8.fc43.noarch" is already installed. Package Arch Version Repository Size Installing: python3-cython ppc64le 3.0.12-3.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 19.9 MiB python3-meson-python noarch 0.18.0-4.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 326.5 KiB python3-numpy ppc64le 1:2.3.2-1.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 38.4 MiB python3-pip noarch 25.1.1-14.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 12.5 MiB python3-scipy ppc64le 1.15.3-4.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 78.8 MiB Installing dependencies: flexiblas ppc64le 3.4.5-4.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 50.4 KiB flexiblas-netlib ppc64le 3.4.5-4.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 12.3 MiB flexiblas-openblas-openmp ppc64le 3.4.5-4.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 66.9 KiB libgfortran ppc64le 15.1.1-5.fc43.1 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 2.8 MiB libquadmath ppc64le 15.1.1-5.fc43.1 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 426.5 KiB meson noarch 1.8.2-3.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 13.2 MiB ninja-build ppc64le 1.13.1-2.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 531.9 KiB openblas ppc64le 0.3.29-2.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 111.7 KiB openblas-openmp ppc64le 0.3.29-2.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 23.2 MiB patchelf ppc64le 0.18.0-9.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 370.9 KiB python3-charset-normalizer noarch 3.4.2-3.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 354.0 KiB python3-idna noarch 3.10-4.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 730.6 KiB python3-numpy-f2py ppc64le 1:2.3.2-1.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 2.1 MiB python3-platformdirs noarch 4.2.2-6.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 177.6 KiB python3-pooch noarch 1.8.2-7.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 635.3 KiB python3-pyproject-metadata noarch 0.9.1-3.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 193.6 KiB python3-requests noarch 2.32.4-3.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 478.2 KiB python3-urllib3 noarch 2.4.0-5.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.1 MiB vim-filesystem noarch 2:9.1.1552-2.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 40.0 B Transaction Summary: Installing: 24 packages Total size of inbound packages is 44 MiB. Need to download 44 MiB. After this operation, 209 MiB extra will be used (install 209 MiB, remove 0 B). [ 1/24] python3-meson-python-0:0.18.0-4 100% | 111.4 KiB/s | 88.4 KiB | 00m01s [ 2/24] python3-cython-0:3.0.12-3.fc43. 100% | 517.4 KiB/s | 4.0 MiB | 00m08s [ 3/24] python3-pip-0:25.1.1-14.fc43.no 100% | 375.9 KiB/s | 2.6 MiB | 00m07s [ 4/24] meson-0:1.8.2-3.fc43.noarch 100% | 511.1 KiB/s | 2.3 MiB | 00m05s [ 5/24] python3-numpy-1:2.3.2-1.fc43.pp 100% | 376.1 KiB/s | 7.2 MiB | 00m20s [ 6/24] python3-pyproject-metadata-0:0. 100% | 67.0 KiB/s | 52.6 KiB | 00m01s [ 7/24] python3-pooch-0:1.8.2-7.fc43.no 100% | 265.4 KiB/s | 126.9 KiB | 00m00s [ 8/24] python3-numpy-f2py-1:2.3.2-1.fc 100% | 536.8 KiB/s | 461.6 KiB | 00m01s [ 9/24] python3-platformdirs-0:4.2.2-6. 100% | 242.9 KiB/s | 43.5 KiB | 00m00s [10/24] ninja-build-0:1.13.1-2.fc43.ppc 100% | 381.3 KiB/s | 204.4 KiB | 00m01s [11/24] python3-requests-0:2.32.4-3.fc4 100% | 404.1 KiB/s | 150.3 KiB | 00m00s [12/24] python3-charset-normalizer-0:3. 100% | 290.5 KiB/s | 108.6 KiB | 00m00s [13/24] python3-idna-0:3.10-4.fc43.noar 100% | 411.4 KiB/s | 118.5 KiB | 00m00s [14/24] python3-urllib3-0:2.4.0-5.fc43. 100% | 339.1 KiB/s | 275.7 KiB | 00m01s [15/24] flexiblas-0:3.4.5-4.fc43.ppc64l 100% | 127.0 KiB/s | 25.9 KiB | 00m00s [16/24] flexiblas-openblas-openmp-0:3.4 100% | 85.3 KiB/s | 16.5 KiB | 00m00s [17/24] libgfortran-0:15.1.1-5.fc43.1.p 100% | 441.3 KiB/s | 682.7 KiB | 00m02s [18/24] patchelf-0:0.18.0-9.fc43.ppc64l 100% | 249.6 KiB/s | 133.0 KiB | 00m01s [19/24] vim-filesystem-2:9.1.1552-2.fc4 100% | 88.1 KiB/s | 15.2 KiB | 00m00s [20/24] flexiblas-netlib-0:3.4.5-4.fc43 100% | 748.0 KiB/s | 3.2 MiB | 00m04s [21/24] openblas-0:0.3.29-2.fc43.ppc64l 100% | 193.5 KiB/s | 42.2 KiB | 00m00s [22/24] libquadmath-0:15.1.1-5.fc43.1.p 100% | 529.3 KiB/s | 220.7 KiB | 00m00s [23/24] openblas-openmp-0:0.3.29-2.fc43 100% | 312.9 KiB/s | 5.0 MiB | 00m16s [24/24] python3-scipy-0:1.15.3-4.fc43.p 100% | 354.6 KiB/s | 17.0 MiB | 00m49s -------------------------------------------------------------------------------- [24/24] Total 100% | 918.1 KiB/s | 44.1 MiB | 00m49s Running transaction [ 1/26] Verify package files 100% | 41.0 B/s | 24.0 B | 00m01s [ 2/26] Prepare transaction 100% | 137.0 B/s | 24.0 B | 00m00s [ 3/26] Installing libgfortran-0:15.1.1 100% | 123.5 MiB/s | 2.8 MiB | 00m00s [ 4/26] Installing python3-idna-0:3.10- 100% | 80.0 MiB/s | 737.1 KiB | 00m00s [ 5/26] Installing python3-urllib3-0:2. 100% | 57.8 MiB/s | 1.1 MiB | 00m00s [ 6/26] Installing libquadmath-0:15.1.1 100% | 69.6 MiB/s | 427.8 KiB | 00m00s [ 7/26] Installing openblas-0:0.3.29-2. 100% | 36.9 MiB/s | 113.5 KiB | 00m00s [ 8/26] Installing openblas-openmp-0:0. 100% | 140.4 MiB/s | 23.2 MiB | 00m00s [ 9/26] Installing flexiblas-0:3.4.5-4. 100% | 25.2 MiB/s | 51.6 KiB | 00m00s [10/26] Installing flexiblas-openblas-o 100% | 33.1 MiB/s | 67.7 KiB | 00m00s [11/26] Installing flexiblas-netlib-0:3 100% | 98.7 MiB/s | 12.3 MiB | 00m00s [12/26] Installing python3-numpy-f2py-1 100% | 27.8 MiB/s | 2.2 MiB | 00m00s [13/26] Installing python3-numpy-1:2.3. 100% | 96.5 MiB/s | 38.7 MiB | 00m00s [14/26] Installing vim-filesystem-2:9.1 100% | 1.5 MiB/s | 4.7 KiB | 00m00s [15/26] Installing ninja-build-0:1.13.1 100% | 13.4 MiB/s | 535.0 KiB | 00m00s [16/26] Installing meson-0:1.8.2-3.fc43 100% | 78.7 MiB/s | 13.4 MiB | 00m00s [17/26] Installing patchelf-0:0.18.0-9. 100% | 10.1 MiB/s | 372.7 KiB | 00m00s [18/26] Installing python3-charset-norm 100% | 9.6 MiB/s | 364.1 KiB | 00m00s [19/26] Installing python3-requests-0:2 100% | 47.9 MiB/s | 490.2 KiB | 00m00s [20/26] Installing python3-platformdirs 100% | 35.9 MiB/s | 184.0 KiB | 00m00s [21/26] Installing python3-pooch-0:1.8. 100% | 48.9 MiB/s | 650.4 KiB | 00m00s [22/26] Installing python3-pyproject-me 100% | 38.9 MiB/s | 199.1 KiB | 00m00s [23/26] Installing python3-meson-python 100% | 23.2 MiB/s | 332.5 KiB | 00m00s [24/26] Installing python3-scipy-0:1.15 100% | 112.6 MiB/s | 79.2 MiB | 00m01s [25/26] Installing python3-pip-0:25.1.1 100% | 55.6 MiB/s | 12.8 MiB | 00m00s [26/26] Installing python3-cython-0:3.0 100% | 65.0 MiB/s | 20.0 MiB | 00m00s Warning: skipped OpenPGP checks for 24 packages from repository: http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch Complete! Building target platforms: ppc64le Building for target ppc64le setting SOURCE_DATE_EPOCH=1753920000 Executing(%generate_buildrequires): /bin/sh -e /var/tmp/rpm-tmp.FezVjC + umask 022 + cd /builddir/build/BUILD/python-scikit-learn-1.7.1-build + cd scikit_learn-1.7.1 + 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-1.7.1-build/scikit_learn-1.7.1/.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 -mcpu=power8 -mtune=power8 -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 -mcpu=power8 -mtune=power8 -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 -mcpu=power8 -mtune=power8 -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 -mcpu=power8 -mtune=power8 -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,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-hardened-ld-errors -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-1.7.1-build/scikit_learn-1.7.1/.pyproject-builddir + RPM_TOXENV=py314 + FEDORA=43 + 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-1.7.1-build/scikit_learn-1.7.1/pyproject-wheeldir --output /builddir/build/BUILD/python-scikit-learn-1.7.1-build/python-scikit-learn-1.7.1-1.fc43.ppc64le-pyproject-buildrequires -p Handling meson-python>=0.16.0,<0.19.0 from build-system.requires Requirement satisfied: meson-python>=0.16.0,<0.19.0 (installed: meson-python 0.18.0) Handling Cython>=3.0.9,<3.2.0 from build-system.requires Requirement satisfied: Cython>=3.0.9,<3.2.0 (installed: Cython 3.0.12) Handling numpy from build-system.requires Requirement satisfied: numpy (installed: numpy 2.3.2) Handling scipy>=1.8.0,<1.16.0 from build-system.requires Requirement satisfied: scipy>=1.8.0,<1.16.0 (installed: scipy 1.15.3) Handling numpy>=1.22.0 from pyproject.toml generated metadata: [dependencies] (scikit-learn) Requirement satisfied: numpy>=1.22.0 (installed: numpy 2.3.2) Handling scipy>=1.8.0 from pyproject.toml generated metadata: [dependencies] (scikit-learn) Requirement satisfied: scipy>=1.8.0 (installed: scipy 1.15.3) Handling joblib>=1.2.0 from pyproject.toml generated metadata: [dependencies] (scikit-learn) Requirement satisfied: joblib>=1.2.0 (installed: joblib 1.5.1) 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>=1.22.0 from pyproject.toml generated metadata: [optional-dependencies] build (scikit-learn) Ignoring alien requirement: numpy>=1.22.0 Handling scipy>=1.8.0 from pyproject.toml generated metadata: [optional-dependencies] build (scikit-learn) Ignoring alien requirement: scipy>=1.8.0 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>=0.17.1 from pyproject.toml generated metadata: [optional-dependencies] build (scikit-learn) Ignoring alien requirement: meson-python>=0.17.1 Handling numpy>=1.22.0 from pyproject.toml generated metadata: [optional-dependencies] install (scikit-learn) Ignoring alien requirement: numpy>=1.22.0 Handling scipy>=1.8.0 from pyproject.toml generated metadata: [optional-dependencies] install (scikit-learn) Ignoring alien requirement: scipy>=1.8.0 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>=3.5.0 from pyproject.toml generated metadata: [optional-dependencies] benchmark (scikit-learn) Ignoring alien requirement: matplotlib>=3.5.0 Handling pandas>=1.4.0 from pyproject.toml generated metadata: [optional-dependencies] benchmark (scikit-learn) Ignoring alien requirement: pandas>=1.4.0 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>=3.5.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: matplotlib>=3.5.0 Handling scikit-image>=0.19.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: scikit-image>=0.19.0 Handling pandas>=1.4.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: pandas>=1.4.0 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>=8.4.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: Pillow>=8.4.0 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>=3.5.0 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn) Ignoring alien requirement: matplotlib>=3.5.0 Handling scikit-image>=0.19.0 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn) Ignoring alien requirement: scikit-image>=0.19.0 Handling pandas>=1.4.0 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn) Ignoring alien requirement: pandas>=1.4.0 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>=3.5.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: matplotlib>=3.5.0 Handling scikit-image>=0.19.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: scikit-image>=0.19.0 Handling pandas>=1.4.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: pandas>=1.4.0 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>=0.11.7 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: ruff>=0.11.7 Handling mypy>=1.15 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: mypy>=1.15 Handling pyamg>=4.2.1 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: pyamg>=4.2.1 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==3.0.1 from pyproject.toml generated metadata: [optional-dependencies] maintenance (scikit-learn) Ignoring alien requirement: conda-lock==3.0.1 + cat /builddir/build/BUILD/python-scikit-learn-1.7.1-build/python-scikit-learn-1.7.1-1.fc43.ppc64le-pyproject-buildrequires + rm -rfv '*.dist-info/' + RPM_EC=0 ++ jobs -p + exit 0 Wrote: /builddir/build/SRPMS/python-scikit-learn-1.7.1-1.fc43.buildreqs.nosrc.rpm INFO: Going to install missing dynamic buildrequires Updating and loading repositories: updates 100% | 183.7 KiB/s | 6.1 KiB | 00m00s fedora 100% | 164.0 KiB/s | 5.6 KiB | 00m00s Copr repository 100% | 34.8 KiB/s | 1.5 KiB | 00m00s Coprdir repository 100% | 23.6 KiB/s | 1.5 KiB | 00m00s Additional repo http_kojipkgs_fedorapr 100% | 7.0 KiB/s | 3.8 KiB | 00m01s Repositories loaded. Package "gcc-15.1.1-5.fc43.1.ppc64le" is already installed. Package "gcc-c++-15.1.1-5.fc43.1.ppc64le" is already installed. Package "pyproject-rpm-macros-1.18.3-2.fc43.noarch" is already installed. Package "python3-devel-3.14.0~rc1-2.fc43.ppc64le" is already installed. Package "python3-joblib-1.5.1-4.fc43.noarch" is already installed. Package "python3-joblib-1.5.1-4.fc43.noarch" is already installed. Package "python3-numpy-1:2.3.2-1.fc43.ppc64le" is already installed. Package "python3-numpy-1:2.3.2-1.fc43.ppc64le" is already installed. Package "python3-packaging-25.0-4.fc43.noarch" is already installed. Package "python3-pip-25.1.1-14.fc43.noarch" is already installed. Package "python3-pytest-8.3.5-4.fc43.noarch" is already installed. Package "python3-scipy-1.15.3-4.fc43.ppc64le" is already installed. Package "python3-setuptools-78.1.1-10.fc43.noarch" is already installed. Package "python3-threadpoolctl-3.5.0-8.fc43.noarch" is already installed. Package "python3-threadpoolctl-3.5.0-8.fc43.noarch" is already installed. Nothing to do. Building target platforms: ppc64le Building for target ppc64le setting SOURCE_DATE_EPOCH=1753920000 Executing(%generate_buildrequires): /bin/sh -e /var/tmp/rpm-tmp.o5UJC0 + umask 022 + cd /builddir/build/BUILD/python-scikit-learn-1.7.1-build + cd scikit_learn-1.7.1 + 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-1.7.1-build/scikit_learn-1.7.1/.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 -mcpu=power8 -mtune=power8 -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 -mcpu=power8 -mtune=power8 -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 -mcpu=power8 -mtune=power8 -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 -mcpu=power8 -mtune=power8 -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,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-hardened-ld-errors -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-1.7.1-build/scikit_learn-1.7.1/.pyproject-builddir + RPM_TOXENV=py314 + FEDORA=43 + 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-1.7.1-build/scikit_learn-1.7.1/pyproject-wheeldir --output /builddir/build/BUILD/python-scikit-learn-1.7.1-build/python-scikit-learn-1.7.1-1.fc43.ppc64le-pyproject-buildrequires -p Handling meson-python>=0.16.0,<0.19.0 from build-system.requires Requirement satisfied: meson-python>=0.16.0,<0.19.0 (installed: meson-python 0.18.0) Handling Cython>=3.0.9,<3.2.0 from build-system.requires Requirement satisfied: Cython>=3.0.9,<3.2.0 (installed: Cython 3.0.12) Handling numpy from build-system.requires Requirement satisfied: numpy (installed: numpy 2.3.2) Handling scipy>=1.8.0,<1.16.0 from build-system.requires Requirement satisfied: scipy>=1.8.0,<1.16.0 (installed: scipy 1.15.3) Handling numpy>=1.22.0 from pyproject.toml generated metadata: [dependencies] (scikit-learn) Requirement satisfied: numpy>=1.22.0 (installed: numpy 2.3.2) Handling scipy>=1.8.0 from pyproject.toml generated metadata: [dependencies] (scikit-learn) Requirement satisfied: scipy>=1.8.0 (installed: scipy 1.15.3) Handling joblib>=1.2.0 from pyproject.toml generated metadata: [dependencies] (scikit-learn) Requirement satisfied: joblib>=1.2.0 (installed: joblib 1.5.1) 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>=1.22.0 from pyproject.toml generated metadata: [optional-dependencies] build (scikit-learn) Ignoring alien requirement: numpy>=1.22.0 Handling scipy>=1.8.0 from pyproject.toml generated metadata: [optional-dependencies] build (scikit-learn) Ignoring alien requirement: scipy>=1.8.0 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>=0.17.1 from pyproject.toml generated metadata: [optional-dependencies] build (scikit-learn) Ignoring alien requirement: meson-python>=0.17.1 Handling numpy>=1.22.0 from pyproject.toml generated metadata: [optional-dependencies] install (scikit-learn) Ignoring alien requirement: numpy>=1.22.0 Handling scipy>=1.8.0 from pyproject.toml generated metadata: [optional-dependencies] install (scikit-learn) Ignoring alien requirement: scipy>=1.8.0 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>=3.5.0 from pyproject.toml generated metadata: [optional-dependencies] benchmark (scikit-learn) Ignoring alien requirement: matplotlib>=3.5.0 Handling pandas>=1.4.0 from pyproject.toml generated metadata: [optional-dependencies] benchmark (scikit-learn) Ignoring alien requirement: pandas>=1.4.0 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>=3.5.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: matplotlib>=3.5.0 Handling scikit-image>=0.19.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: scikit-image>=0.19.0 Handling pandas>=1.4.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: pandas>=1.4.0 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>=8.4.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: Pillow>=8.4.0 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>=3.5.0 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn) Ignoring alien requirement: matplotlib>=3.5.0 Handling scikit-image>=0.19.0 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn) Ignoring alien requirement: scikit-image>=0.19.0 Handling pandas>=1.4.0 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn) Ignoring alien requirement: pandas>=1.4.0 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>=3.5.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: matplotlib>=3.5.0 Handling scikit-image>=0.19.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: scikit-image>=0.19.0 Handling pandas>=1.4.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: pandas>=1.4.0 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>=0.11.7 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: ruff>=0.11.7 Handling mypy>=1.15 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: mypy>=1.15 Handling pyamg>=4.2.1 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: pyamg>=4.2.1 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==3.0.1 from pyproject.toml generated metadata: [optional-dependencies] maintenance (scikit-learn) Ignoring alien requirement: conda-lock==3.0.1 + cat /builddir/build/BUILD/python-scikit-learn-1.7.1-build/python-scikit-learn-1.7.1-1.fc43.ppc64le-pyproject-buildrequires + rm -rfv '*.dist-info/' + RPM_EC=0 ++ jobs -p + exit 0 Executing(%build): /bin/sh -e /var/tmp/rpm-tmp.I24nI3 + umask 022 + cd /builddir/build/BUILD/python-scikit-learn-1.7.1-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 -mcpu=power8 -mtune=power8 -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 -mcpu=power8 -mtune=power8 -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 -mcpu=power8 -mtune=power8 -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 -mcpu=power8 -mtune=power8 -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,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-hardened-ld-errors -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-1.7.1 + mkdir -p /builddir/build/BUILD/python-scikit-learn-1.7.1-build/scikit_learn-1.7.1/.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 -mcpu=power8 -mtune=power8 -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 -mcpu=power8 -mtune=power8 -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 -mcpu=power8 -mtune=power8 -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 -mcpu=power8 -mtune=power8 -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,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-hardened-ld-errors -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-1.7.1-build/scikit_learn-1.7.1/.pyproject-builddir + /usr/bin/python3 -Bs /usr/lib/rpm/redhat/pyproject_wheel.py /builddir/build/BUILD/python-scikit-learn-1.7.1-build/scikit_learn-1.7.1/pyproject-wheeldir Processing /builddir/build/BUILD/python-scikit-learn-1.7.1-build/scikit_learn-1.7.1 Preparing metadata (pyproject.toml): started Running command Preparing metadata (pyproject.toml) + meson setup /builddir/build/BUILD/python-scikit-learn-1.7.1-build/scikit_learn-1.7.1 /builddir/build/BUILD/python-scikit-learn-1.7.1-build/scikit_learn-1.7.1/.mesonpy-_a4dbpaw -Dbuildtype=release -Db_ndebug=if-release -Db_vscrt=md --native-file=/builddir/build/BUILD/python-scikit-learn-1.7.1-build/scikit_learn-1.7.1/.mesonpy-_a4dbpaw/meson-python-native-file.ini The Meson build system Version: 1.8.2 Source dir: /builddir/build/BUILD/python-scikit-learn-1.7.1-build/scikit_learn-1.7.1 Build dir: /builddir/build/BUILD/python-scikit-learn-1.7.1-build/scikit_learn-1.7.1/.mesonpy-_a4dbpaw Build type: native build Project name: scikit-learn Project version: 1.7.1 C compiler for the host machine: gcc (gcc 15.1.1 "gcc (GCC) 15.1.1 20250719 (Red Hat 15.1.1-5)") C linker for the host machine: gcc ld.bfd 2.45-1 C++ compiler for the host machine: g++ (gcc 15.1.1 "g++ (GCC) 15.1.1 20250719 (Red Hat 15.1.1-5)") C++ linker for the host machine: g++ ld.bfd 2.45-1 Cython compiler for the host machine: cython (cython 3.0.12) Host machine cpu family: ppc64 Host machine cpu: ppc64le 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 sklearn/_build_utils/tempita.py found: YES (/usr/bin/python3 /builddir/build/BUILD/python-scikit-learn-1.7.1-build/scikit_learn-1.7.1/sklearn/_build_utils/tempita.py) Program python found: YES (/usr/bin/python3) Run-time dependency OpenMP for c found: YES 4.5 Program cython found: YES (/usr/bin/cython) Found pkg-config: YES (/usr/bin/pkg-config) 2.3.0 Run-time dependency python found: YES 3.14 Build targets in project: 111 scikit-learn 1.7.1 User defined options Native files: /builddir/build/BUILD/python-scikit-learn-1.7.1-build/scikit_learn-1.7.1/.mesonpy-_a4dbpaw/meson-python-native-file.ini b_ndebug : if-release b_vscrt : md buildtype : release Found ninja-1.13.1 at /usr/bin/ninja + /usr/bin/ninja [1/251] Copying file sklearn/utils/_cython_blas.pxd [2/251] Copying file sklearn/__init__.py [3/251] Copying file sklearn/utils/_heap.pxd [4/251] Copying file sklearn/utils/_random.pxd [5/251] Copying file sklearn/utils/__init__.py [6/251] Copying file sklearn/utils/_sorting.pxd [7/251] Copying file sklearn/utils/_typedefs.pxd [8/251] Copying file sklearn/_loss/_loss.pxd [9/251] Copying file sklearn/utils/_openmp_helpers.pxd [10/251] Copying file sklearn/utils/_vector_sentinel.pxd [11/251] Generating sklearn/utils/_seq_dataset_pxd with a custom command [12/251] Generating sklearn/utils/_weight_vector_pxd with a custom command [13/251] Generating sklearn/metrics/_dist_metrics_pxd with a custom command [14/251] Copying file sklearn/metrics/_pairwise_distances_reduction/__init__.py [15/251] Copying file sklearn/metrics/__init__.py [16/251] Generating sklearn/metrics/_pairwise_distances_reduction/_datasets_pair_pxd with a custom command [17/251] Copying file sklearn/metrics/_pairwise_distances_reduction/_classmode.pxd [18/251] Generating sklearn/metrics/_pairwise_distances_reduction/_middle_term_computer_pxd with a custom command [19/251] Generating sklearn/metrics/_pairwise_distances_reduction/_base_pxd with a custom command [20/251] Generating sklearn/metrics/_pairwise_distances_reduction/_argkmin_pxd with a custom command [21/251] Generating sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors_pxd with a custom command [22/251] Copying file sklearn/neighbors/_partition_nodes.pxd [23/251] Copying file sklearn/neighbors/__init__.py [24/251] Generating sklearn/utils/_weight_vector_pyx with a custom command [25/251] Generating sklearn/neighbors/_binary_tree_pxi with a custom command [26/251] Copying file sklearn/linear_model/__init__.py [27/251] Generating sklearn/utils/_seq_dataset_pyx with a custom command [28/251] Generating sklearn/_loss/_loss_pyx with a custom command [29/251] Generating sklearn/metrics/_pairwise_distances_reduction/_datasets_pair_pyx with a custom command [30/251] Generating sklearn/metrics/_pairwise_distances_reduction/_middle_term_computer_pyx with a custom command [31/251] Generating sklearn/metrics/_dist_metrics_pyx with a custom command [32/251] Generating sklearn/metrics/_pairwise_distances_reduction/_base_pyx with a custom command [33/251] Generating sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors_pyx with a custom command [34/251] Generating sklearn/metrics/_pairwise_distances_reduction/_argkmin_pyx with a custom command [35/251] Generating sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors_classmode_pyx with a custom command [36/251] Generating sklearn/linear_model/_sgd_fast_pyx with a custom command [37/251] Generating sklearn/metrics/_pairwise_distances_reduction/_argkmin_classmode_pyx with a custom command [38/251] Generating sklearn/linear_model/_sag_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] Generating 'sklearn/__check_build/_check_build.cpython-314-powerpc64le-linux-gnu.so.p/_check_build.c' [42/251] Generating 'sklearn/utils/murmurhash.cpython-314-powerpc64le-linux-gnu.so.p/murmurhash.c' [43/251] Generating 'sklearn/utils/arrayfuncs.cpython-314-powerpc64le-linux-gnu.so.p/arrayfuncs.c' [44/251] Generating 'sklearn/utils/_cython_blas.cpython-314-powerpc64le-linux-gnu.so.p/_cython_blas.c' [45/251] Generating 'sklearn/_isotonic.cpython-314-powerpc64le-linux-gnu.so.p/_isotonic.c' [46/251] Generating 'sklearn/utils/_openmp_helpers.cpython-314-powerpc64le-linux-gnu.so.p/_openmp_helpers.c' [47/251] Generating 'sklearn/utils/_fast_dict.cpython-314-powerpc64le-linux-gnu.so.p/_fast_dict.cpp' [48/251] Generating 'sklearn/utils/_sorting.cpython-314-powerpc64le-linux-gnu.so.p/_sorting.c' [49/251] Generating 'sklearn/utils/_heap.cpython-314-powerpc64le-linux-gnu.so.p/_heap.c' [50/251] Generating 'sklearn/utils/sparsefuncs_fast.cpython-314-powerpc64le-linux-gnu.so.p/sparsefuncs_fast.c' [51/251] Generating 'sklearn/utils/_random.cpython-314-powerpc64le-linux-gnu.so.p/_random.c' [52/251] Generating 'sklearn/utils/_typedefs.cpython-314-powerpc64le-linux-gnu.so.p/_typedefs.c' [53/251] Generating 'sklearn/utils/_vector_sentinel.cpython-314-powerpc64le-linux-gnu.so.p/_vector_sentinel.cpp' [54/251] Generating 'sklearn/utils/_weight_vector.cpython-314-powerpc64le-linux-gnu.so.p/_weight_vector.c' [55/251] Generating 'sklearn/utils/_isfinite.cpython-314-powerpc64le-linux-gnu.so.p/_isfinite.c' [56/251] Generating 'sklearn/metrics/_pairwise_fast.cpython-314-powerpc64le-linux-gnu.so.p/_pairwise_fast.c' [57/251] Generating 'sklearn/utils/_seq_dataset.cpython-314-powerpc64le-linux-gnu.so.p/_seq_dataset.c' [58/251] Generating 'sklearn/metrics/_pairwise_distances_reduction/_middle_term_computer.cpython-314-powerpc64le-linux-gnu.so.p/_middle_term_computer.cpp' [59/251] Generating 'sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-powerpc64le-linux-gnu.so.p/_base.cpp' [60/251] Generating 'sklearn/metrics/_pairwise_distances_reduction/_datasets_pair.cpython-314-powerpc64le-linux-gnu.so.p/_datasets_pair.cpp' [61/251] Generating 'sklearn/metrics/_dist_metrics.cpython-314-powerpc64le-linux-gnu.so.p/_dist_metrics.c' 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 [62/251] Generating 'sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors.cpython-314-powerpc64le-linux-gnu.so.p/_radius_neighbors.cpp' [63/251] Generating 'sklearn/metrics/_pairwise_distances_reduction/_argkmin.cpython-314-powerpc64le-linux-gnu.so.p/_argkmin.cpp' [64/251] Generating 'sklearn/metrics/_pairwise_distances_reduction/_argkmin_classmode.cpython-314-powerpc64le-linux-gnu.so.p/_argkmin_classmode.cpp' [65/251] Generating 'sklearn/_loss/_loss.cpython-314-powerpc64le-linux-gnu.so.p/_loss.c' [66/251] Generating 'sklearn/cluster/_dbscan_inner.cpython-314-powerpc64le-linux-gnu.so.p/_dbscan_inner.cpp' [67/251] Generating 'sklearn/metrics/cluster/_expected_mutual_info_fast.cpython-314-powerpc64le-linux-gnu.so.p/_expected_mutual_info_fast.c' [68/251] Generating 'sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors_classmode.cpython-314-powerpc64le-linux-gnu.so.p/_radius_neighbors_classmode.cpp' [69/251] Generating 'sklearn/cluster/_hierarchical_fast.cpython-314-powerpc64le-linux-gnu.so.p/_hierarchical_fast.cpp' [70/251] Generating 'sklearn/cluster/_k_means_lloyd.cpython-314-powerpc64le-linux-gnu.so.p/_k_means_lloyd.c' [71/251] Generating 'sklearn/cluster/_k_means_minibatch.cpython-314-powerpc64le-linux-gnu.so.p/_k_means_minibatch.c' [72/251] Generating 'sklearn/cluster/_k_means_elkan.cpython-314-powerpc64le-linux-gnu.so.p/_k_means_elkan.c' [73/251] Generating 'sklearn/cluster/_k_means_common.cpython-314-powerpc64le-linux-gnu.so.p/_k_means_common.c' [74/251] Generating 'sklearn/cluster/_hdbscan/_linkage.cpython-314-powerpc64le-linux-gnu.so.p/_linkage.c' [75/251] Generating 'sklearn/cluster/_hdbscan/_reachability.cpython-314-powerpc64le-linux-gnu.so.p/_reachability.c' [76/251] Generating 'sklearn/cluster/_hdbscan/_tree.cpython-314-powerpc64le-linux-gnu.so.p/_tree.c' [77/251] Generating 'sklearn/decomposition/_cdnmf_fast.cpython-314-powerpc64le-linux-gnu.so.p/_cdnmf_fast.c' [78/251] Generating 'sklearn/decomposition/_online_lda_fast.cpython-314-powerpc64le-linux-gnu.so.p/_online_lda_fast.c' [79/251] Generating 'sklearn/ensemble/_gradient_boosting.cpython-314-powerpc64le-linux-gnu.so.p/_gradient_boosting.c' [80/251] Generating 'sklearn/ensemble/_hist_gradient_boosting/_gradient_boosting.cpython-314-powerpc64le-linux-gnu.so.p/_gradient_boosting.c' [81/251] Generating 'sklearn/datasets/_svmlight_format_fast.cpython-314-powerpc64le-linux-gnu.so.p/_svmlight_format_fast.c' [82/251] Generating 'sklearn/ensemble/_hist_gradient_boosting/_binning.cpython-314-powerpc64le-linux-gnu.so.p/_binning.c' [83/251] Generating 'sklearn/ensemble/_hist_gradient_boosting/histogram.cpython-314-powerpc64le-linux-gnu.so.p/histogram.c' [84/251] Generating 'sklearn/ensemble/_hist_gradient_boosting/splitting.cpython-314-powerpc64le-linux-gnu.so.p/splitting.c' [85/251] Generating 'sklearn/ensemble/_hist_gradient_boosting/_bitset.cpython-314-powerpc64le-linux-gnu.so.p/_bitset.c' [86/251] Generating 'sklearn/ensemble/_hist_gradient_boosting/common.cpython-314-powerpc64le-linux-gnu.so.p/common.c' [87/251] Generating 'sklearn/ensemble/_hist_gradient_boosting/_predictor.cpython-314-powerpc64le-linux-gnu.so.p/_predictor.c' [88/251] Generating 'sklearn/feature_extraction/_hashing_fast.cpython-314-powerpc64le-linux-gnu.so.p/_hashing_fast.cpp' [89/251] Generating 'sklearn/manifold/_utils.cpython-314-powerpc64le-linux-gnu.so.p/_utils.c' [90/251] Generating 'sklearn/linear_model/_sgd_fast.cpython-314-powerpc64le-linux-gnu.so.p/_sgd_fast.c' [91/251] Generating 'sklearn/neighbors/_partition_nodes.cpython-314-powerpc64le-linux-gnu.so.p/_partition_nodes.cpp' [92/251] Generating 'sklearn/linear_model/_sag_fast.cpython-314-powerpc64le-linux-gnu.so.p/_sag_fast.c' [93/251] Generating 'sklearn/linear_model/_cd_fast.cpython-314-powerpc64le-linux-gnu.so.p/_cd_fast.c' [94/251] Generating 'sklearn/manifold/_barnes_hut_tsne.cpython-314-powerpc64le-linux-gnu.so.p/_barnes_hut_tsne.c' [95/251] Generating 'sklearn/svm/_newrand.cpython-314-powerpc64le-linux-gnu.so.p/_newrand.cpp' [96/251] Generating 'sklearn/preprocessing/_csr_polynomial_expansion.cpython-314-powerpc64le-linux-gnu.so.p/_csr_polynomial_expansion.c' [97/251] Generating 'sklearn/neighbors/_ball_tree.cpython-314-powerpc64le-linux-gnu.so.p/_ball_tree.c' 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 [98/251] Generating 'sklearn/preprocessing/_target_encoder_fast.cpython-314-powerpc64le-linux-gnu.so.p/_target_encoder_fast.cpp' [99/251] Generating 'sklearn/svm/_libsvm.cpython-314-powerpc64le-linux-gnu.so.p/_libsvm.c' [100/251] Generating 'sklearn/neighbors/_kd_tree.cpython-314-powerpc64le-linux-gnu.so.p/_kd_tree.c' warning: sklearn/neighbors/_binary_tree.pxi:1092:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:1958:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2053:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2222:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2345:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2402:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2403:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2728:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:3594:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:3689:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:3858:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:3981:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:4038:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:4039:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_kd_tree.pyx:74:9: Assigning to 'float64_t *' from 'const float64_t *' discards const qualifier warning: sklearn/neighbors/_kd_tree.pyx:75:9: Assigning to 'float64_t *' from 'const float64_t *' discards const qualifier warning: sklearn/neighbors/_kd_tree.pyx:342:9: Assigning to 'float32_t *' from 'const float32_t *' discards const qualifier warning: sklearn/neighbors/_kd_tree.pyx:343:9: Assigning to 'float32_t *' from 'const float32_t *' discards const qualifier [101/251] Compiling C++ object sklearn/svm/libliblinear-skl.a.p/src_liblinear_tron.cpp.o [102/251] Generating 'sklearn/neighbors/_quad_tree.cpython-314-powerpc64le-linux-gnu.so.p/_quad_tree.c' [103/251] Generating 'sklearn/svm/_libsvm_sparse.cpython-314-powerpc64le-linux-gnu.so.p/_libsvm_sparse.c' [104/251] Generating 'sklearn/svm/_liblinear.cpython-314-powerpc64le-linux-gnu.so.p/_liblinear.c' [105/251] Generating 'sklearn/tree/_splitter.cpython-314-powerpc64le-linux-gnu.so.p/_splitter.c' [106/251] Compiling C++ object sklearn/svm/libliblinear-skl.a.p/src_liblinear_linear.cpp.o [107/251] Generating 'sklearn/tree/_partitioner.cpython-314-powerpc64le-linux-gnu.so.p/_partitioner.c' [108/251] Compiling C++ object sklearn/svm/liblibsvm-skl.a.p/src_libsvm_libsvm_template.cpp.o In file included from ../sklearn/svm/src/libsvm/libsvm_template.cpp:6: ../sklearn/svm/src/libsvm/svm.cpp: In function ‘svm::svm_train_one(svm_problem const*, svm_parameter const*, double, double, int*, BlasFunctions*)’: ../sklearn/svm/src/libsvm/svm.cpp:1883:13: warning: ‘si.obj’ may be used uninitialized [-Wmaybe-uninitialized] 1883 | info("obj = %f, rho = %f\n",si.obj,si.rho); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../sklearn/svm/src/libsvm/svm.cpp:1856:30: note: ‘si’ declared here 1856 | Solver::SolutionInfo si; | ^~ ../sklearn/svm/src/libsvm/svm.cpp:1883:13: warning: ‘si.rho’ may be used uninitialized [-Wmaybe-uninitialized] 1883 | info("obj = %f, rho = %f\n",si.obj,si.rho); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../sklearn/svm/src/libsvm/svm.cpp:1856:30: note: ‘si’ declared here 1856 | Solver::SolutionInfo si; | ^~ In file included from ../sklearn/svm/src/libsvm/libsvm_template.cpp:8: ../sklearn/svm/src/libsvm/svm.cpp: In function ‘svm_csr::svm_train_one(svm_csr_problem const*, svm_parameter const*, double, double, int*, BlasFunctions*)’: ../sklearn/svm/src/libsvm/svm.cpp:1883:13: warning: ‘si.obj’ may be used uninitialized [-Wmaybe-uninitialized] 1883 | info("obj = %f, rho = %f\n",si.obj,si.rho); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../sklearn/svm/src/libsvm/svm.cpp:1856:30: note: ‘si’ declared here 1856 | Solver::SolutionInfo si; | ^~ ../sklearn/svm/src/libsvm/svm.cpp:1883:13: warning: ‘si.rho’ may be used uninitialized [-Wmaybe-uninitialized] 1883 | info("obj = %f, rho = %f\n",si.obj,si.rho); | ~~~~^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ ../sklearn/svm/src/libsvm/svm.cpp:1856:30: note: ‘si’ declared here 1856 | Solver::SolutionInfo si; | ^~ [109/251] Generating 'sklearn/tree/_criterion.cpython-314-powerpc64le-linux-gnu.so.p/_criterion.c' [110/251] Generating 'sklearn/tree/_tree.cpython-314-powerpc64le-linux-gnu.so.p/_tree.cpp' [111/251] Generating 'sklearn/tree/_utils.cpython-314-powerpc64le-linux-gnu.so.p/_utils.c' [112/251] Compiling C object sklearn/__check_build/_check_build.cpython-314-powerpc64le-linux-gnu.so.p/meson-generated__check_build.c.o [113/251] Compiling C++ object sklearn/utils/murmurhash.cpython-314-powerpc64le-linux-gnu.so.p/src_MurmurHash3.cpp.o [114/251] Compiling C object sklearn/utils/murmurhash.cpython-314-powerpc64le-linux-gnu.so.p/meson-generated_murmurhash.c.o [115/251] Compiling C object sklearn/_isotonic.cpython-314-powerpc64le-linux-gnu.so.p/meson-generated__isotonic.c.o [116/251] Compiling C object sklearn/utils/_openmp_helpers.cpython-314-powerpc64le-linux-gnu.so.p/meson-generated__openmp_helpers.c.o [117/251] Compiling C++ object sklearn/utils/_fast_dict.cpython-314-powerpc64le-linux-gnu.so.p/meson-generated__fast_dict.cpp.o [118/251] Compiling C object sklearn/utils/_heap.cpython-314-powerpc64le-linux-gnu.so.p/meson-generated__heap.c.o [119/251] Compiling C object sklearn/utils/arrayfuncs.cpython-314-powerpc64le-linux-gnu.so.p/meson-generated_arrayfuncs.c.o [120/251] Compiling C object sklearn/utils/_sorting.cpython-314-powerpc64le-linux-gnu.so.p/meson-generated__sorting.c.o [121/251] Compiling C++ object sklearn/utils/_vector_sentinel.cpython-314-powerpc64le-linux-gnu.so.p/meson-generated__vector_sentinel.cpp.o [122/251] Compiling C object sklearn/utils/_typedefs.cpython-314-powerpc64le-linux-gnu.so.p/meson-generated__typedefs.c.o [123/251] Compiling C object sklearn/utils/_cython_blas.cpython-314-powerpc64le-linux-gnu.so.p/meson-generated__cython_blas.c.o [124/251] Compiling C object sklearn/utils/_isfinite.cpython-314-powerpc64le-linux-gnu.so.p/meson-generated__isfinite.c.o [125/251] Compiling C object sklearn/utils/_weight_vector.cpython-314-powerpc64le-linux-gnu.so.p/meson-generated__weight_vector.c.o [126/251] Compiling C object sklearn/utils/_random.cpython-314-powerpc64le-linux-gnu.so.p/meson-generated__random.c.o [127/251] Compiling C object sklearn/utils/_seq_dataset.cpython-314-powerpc64le-linux-gnu.so.p/meson-generated__seq_dataset.c.o [128/251] Compiling C object sklearn/utils/sparsefuncs_fast.cpython-314-powerpc64le-linux-gnu.so.p/meson-generated_sparsefuncs_fast.c.o [129/251] Compiling C object sklearn/metrics/_pairwise_fast.cpython-314-powerpc64le-linux-gnu.so.p/meson-generated__pairwise_fast.c.o [130/251] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-powerpc64le-linux-gnu.so.p/meson-generated__base.cpp.o [131/251] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_datasets_pair.cpython-314-powerpc64le-linux-gnu.so.p/meson-generated__datasets_pair.cpp.o [132/251] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_middle_term_computer.cpython-314-powerpc64le-linux-gnu.so.p/meson-generated__middle_term_computer.cpp.o [133/251] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_argkmin.cpython-314-powerpc64le-linux-gnu.so.p/meson-generated__argkmin.cpp.o [134/251] Compiling C object sklearn/metrics/_dist_metrics.cpython-314-powerpc64le-linux-gnu.so.p/meson-generated__dist_metrics.c.o sklearn/metrics/_dist_metrics.cpython-314-powerpc64le-linux-gnu.so.p/_dist_metrics.c: In function ‘__pyx_pf_7sklearn_7metrics_13_dist_metrics_16DistanceMetric64_22_pairwise_sparse_dense’: sklearn/metrics/_dist_metrics.cpython-314-powerpc64le-linux-gnu.so.p/_dist_metrics.c:29587:29: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 29587 | __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-314-powerpc64le-linux-gnu.so.p/_dist_metrics.c: In function ‘__pyx_pf_7sklearn_7metrics_13_dist_metrics_16DistanceMetric64_24_pairwise_dense_sparse’: sklearn/metrics/_dist_metrics.cpython-314-powerpc64le-linux-gnu.so.p/_dist_metrics.c:30372:27: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 30372 | __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-314-powerpc64le-linux-gnu.so.p/_dist_metrics.c: In function ‘__pyx_pf_7sklearn_7metrics_13_dist_metrics_16DistanceMetric32_22_pairwise_sparse_dense’: sklearn/metrics/_dist_metrics.cpython-314-powerpc64le-linux-gnu.so.p/_dist_metrics.c:49211:29: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 49211 | __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-314-powerpc64le-linux-gnu.so.p/_dist_metrics.c: In function ‘__pyx_pf_7sklearn_7metrics_13_dist_metrics_16DistanceMetric32_24_pairwise_dense_sparse’: sklearn/metrics/_dist_metrics.cpython-314-powerpc64le-linux-gnu.so.p/_dist_metrics.c:49996:27: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 49996 | __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)); | ^ [135/251] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_argkmin_classmode.cpython-314-powerpc64le-linux-gnu.so.p/meson-generated__argkmin_classmode.cpp.o [136/251] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors.cpython-314-powerpc64le-linux-gnu.so.p/meson-generated__radius_neighbors.cpp.o [137/251] Compiling C object sklearn/metrics/cluster/_expected_mutual_info_fast.cpython-314-powerpc64le-linux-gnu.so.p/meson-generated__expected_mutual_info_fast.c.o [138/251] Compiling C++ object sklearn/cluster/_dbscan_inner.cpython-314-powerpc64le-linux-gnu.so.p/meson-generated__dbscan_inner.cpp.o [139/251] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors_classmode.cpython-314-powerpc64le-linux-gnu.so.p/meson-generated__radius_neighbors_classmode.cpp.o [140/251] Compiling C++ object sklearn/cluster/_hierarchical_fast.cpython-314-powerpc64le-linux-gnu.so.p/meson-generated__hierarchical_fast.cpp.o [141/251] Compiling C object sklearn/cluster/_k_means_minibatch.cpython-314-powerpc64le-linux-gnu.so.p/meson-generated__k_means_minibatch.c.o [142/251] Compiling C object sklearn/cluster/_hdbscan/_linkage.cpython-314-powerpc64le-linux-gnu.so.p/meson-generated__linkage.c.o [143/251] Compiling C object sklearn/cluster/_k_means_lloyd.cpython-314-powerpc64le-linux-gnu.so.p/meson-generated__k_means_lloyd.c.o [144/251] Compiling C object sklearn/cluster/_k_means_common.cpython-314-powerpc64le-linux-gnu.so.p/meson-generated__k_means_common.c.o [145/251] Compiling C object sklearn/cluster/_k_means_elkan.cpython-314-powerpc64le-linux-gnu.so.p/meson-generated__k_means_elkan.c.o [146/251] Compiling C object sklearn/cluster/_hdbscan/_reachability.cpython-314-powerpc64le-linux-gnu.so.p/meson-generated__reachability.c.o [147/251] Compiling C object sklearn/decomposition/_online_lda_fast.cpython-314-powerpc64le-linux-gnu.so.p/meson-generated__online_lda_fast.c.o [148/251] Compiling C object sklearn/ensemble/_gradient_boosting.cpython-314-powerpc64le-linux-gnu.so.p/meson-generated__gradient_boosting.c.o [149/251] Compiling C object sklearn/decomposition/_cdnmf_fast.cpython-314-powerpc64le-linux-gnu.so.p/meson-generated__cdnmf_fast.c.o [150/251] Compiling C object sklearn/cluster/_hdbscan/_tree.cpython-314-powerpc64le-linux-gnu.so.p/meson-generated__tree.c.o [151/251] Compiling C object sklearn/ensemble/_hist_gradient_boosting/_gradient_boosting.cpython-314-powerpc64le-linux-gnu.so.p/meson-generated__gradient_boosting.c.o [152/251] Compiling C object sklearn/ensemble/_hist_gradient_boosting/histogram.cpython-314-powerpc64le-linux-gnu.so.p/meson-generated_histogram.c.o [153/251] Compiling C object sklearn/ensemble/_hist_gradient_boosting/_binning.cpython-314-powerpc64le-linux-gnu.so.p/meson-generated__binning.c.o [154/251] Compiling C object sklearn/ensemble/_hist_gradient_boosting/_predictor.cpython-314-powerpc64le-linux-gnu.so.p/meson-generated__predictor.c.o [155/251] Compiling C object sklearn/datasets/_svmlight_format_fast.cpython-314-powerpc64le-linux-gnu.so.p/meson-generated__svmlight_format_fast.c.o sklearn/datasets/_svmlight_format_fast.cpython-314-powerpc64le-linux-gnu.so.p/_svmlight_format_fast.c:3297:9: warning: ‘Py_UNICODE’ is deprecated [-Wdeprecated-declarations] 3297 | Py_UNICODE *as_pyunicodes; | ^~~~~~~~~~ [156/251] Compiling C object sklearn/ensemble/_hist_gradient_boosting/_bitset.cpython-314-powerpc64le-linux-gnu.so.p/meson-generated__bitset.c.o [157/251] Compiling C++ object sklearn/feature_extraction/_hashing_fast.cpython-314-powerpc64le-linux-gnu.so.p/meson-generated__hashing_fast.cpp.o [158/251] Compiling C object sklearn/ensemble/_hist_gradient_boosting/splitting.cpython-314-powerpc64le-linux-gnu.so.p/meson-generated_splitting.c.o [159/251] Compiling C object sklearn/ensemble/_hist_gradient_boosting/common.cpython-314-powerpc64le-linux-gnu.so.p/meson-generated_common.c.o [160/251] Compiling C object sklearn/manifold/_utils.cpython-314-powerpc64le-linux-gnu.so.p/meson-generated__utils.c.o [161/251] Compiling C object sklearn/manifold/_barnes_hut_tsne.cpython-314-powerpc64le-linux-gnu.so.p/meson-generated__barnes_hut_tsne.c.o [162/251] Compiling C object sklearn/_loss/_loss.cpython-314-powerpc64le-linux-gnu.so.p/meson-generated__loss.c.o [163/251] Compiling C object sklearn/linear_model/_sag_fast.cpython-314-powerpc64le-linux-gnu.so.p/meson-generated__sag_fast.c.o [164/251] Compiling C++ object sklearn/neighbors/_partition_nodes.cpython-314-powerpc64le-linux-gnu.so.p/meson-generated__partition_nodes.cpp.o [165/251] Compiling C object sklearn/linear_model/_sgd_fast.cpython-314-powerpc64le-linux-gnu.so.p/meson-generated__sgd_fast.c.o [166/251] Compiling C++ object sklearn/svm/_newrand.cpython-314-powerpc64le-linux-gnu.so.p/meson-generated__newrand.cpp.o [167/251] Linking static target sklearn/svm/liblibsvm-skl.a [168/251] Compiling C object sklearn/neighbors/_quad_tree.cpython-314-powerpc64le-linux-gnu.so.p/meson-generated__quad_tree.c.o [169/251] Compiling C object sklearn/linear_model/_cd_fast.cpython-314-powerpc64le-linux-gnu.so.p/meson-generated__cd_fast.c.o [170/251] Linking static target sklearn/svm/libliblinear-skl.a [171/251] Compiling C object sklearn/preprocessing/_csr_polynomial_expansion.cpython-314-powerpc64le-linux-gnu.so.p/meson-generated__csr_polynomial_expansion.c.o [172/251] Compiling C object sklearn/svm/_libsvm.cpython-314-powerpc64le-linux-gnu.so.p/meson-generated__libsvm.c.o [173/251] Compiling C object sklearn/svm/_liblinear.cpython-314-powerpc64le-linux-gnu.so.p/meson-generated__liblinear.c.o [174/251] Compiling C++ object sklearn/preprocessing/_target_encoder_fast.cpython-314-powerpc64le-linux-gnu.so.p/meson-generated__target_encoder_fast.cpp.o [175/251] Compiling C object sklearn/svm/_libsvm_sparse.cpython-314-powerpc64le-linux-gnu.so.p/meson-generated__libsvm_sparse.c.o [176/251] Compiling C object sklearn/neighbors/_ball_tree.cpython-314-powerpc64le-linux-gnu.so.p/meson-generated__ball_tree.c.o sklearn/neighbors/_ball_tree.cpython-314-powerpc64le-linux-gnu.so.p/_ball_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree64__recursive_build’: sklearn/neighbors/_ball_tree.cpython-314-powerpc64le-linux-gnu.so.p/_ball_tree.c:32749:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 32749 | __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-314-powerpc64le-linux-gnu.so.p/_ball_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree64__query_radius_single’: sklearn/neighbors/_ball_tree.cpython-314-powerpc64le-linux-gnu.so.p/_ball_tree.c:40164:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 40164 | __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-314-powerpc64le-linux-gnu.so.p/_ball_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree64__kde_single_breadthfirst’: sklearn/neighbors/_ball_tree.cpython-314-powerpc64le-linux-gnu.so.p/_ball_tree.c:40717:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 40717 | __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-314-powerpc64le-linux-gnu.so.p/_ball_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree64__kde_single_depthfirst’: sklearn/neighbors/_ball_tree.cpython-314-powerpc64le-linux-gnu.so.p/_ball_tree.c:41623:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 41623 | __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-314-powerpc64le-linux-gnu.so.p/_ball_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree64__two_point_single’: sklearn/neighbors/_ball_tree.cpython-314-powerpc64le-linux-gnu.so.p/_ball_tree.c:42234:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 42234 | __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-314-powerpc64le-linux-gnu.so.p/_ball_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree64__two_point_dual’: sklearn/neighbors/_ball_tree.cpython-314-powerpc64le-linux-gnu.so.p/_ball_tree.c:42637:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 42637 | __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-314-powerpc64le-linux-gnu.so.p/_ball_tree.c:42647:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 42647 | __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-314-powerpc64le-linux-gnu.so.p/_ball_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree32__recursive_build’: sklearn/neighbors/_ball_tree.cpython-314-powerpc64le-linux-gnu.so.p/_ball_tree.c:46562:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 46562 | __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-314-powerpc64le-linux-gnu.so.p/_ball_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree32__query_radius_single’: sklearn/neighbors/_ball_tree.cpython-314-powerpc64le-linux-gnu.so.p/_ball_tree.c:53986:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 53986 | __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-314-powerpc64le-linux-gnu.so.p/_ball_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree32__kde_single_breadthfirst’: sklearn/neighbors/_ball_tree.cpython-314-powerpc64le-linux-gnu.so.p/_ball_tree.c:54539:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 54539 | __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-314-powerpc64le-linux-gnu.so.p/_ball_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree32__kde_single_depthfirst’: sklearn/neighbors/_ball_tree.cpython-314-powerpc64le-linux-gnu.so.p/_ball_tree.c:55445:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 55445 | __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-314-powerpc64le-linux-gnu.so.p/_ball_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree32__two_point_single’: sklearn/neighbors/_ball_tree.cpython-314-powerpc64le-linux-gnu.so.p/_ball_tree.c:56056:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 56056 | __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-314-powerpc64le-linux-gnu.so.p/_ball_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree32__two_point_dual’: sklearn/neighbors/_ball_tree.cpython-314-powerpc64le-linux-gnu.so.p/_ball_tree.c:56459:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 56459 | __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-314-powerpc64le-linux-gnu.so.p/_ball_tree.c:56469:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 56469 | __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-314-powerpc64le-linux-gnu.so.p/_ball_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_init_node64’: sklearn/neighbors/_ball_tree.cpython-314-powerpc64le-linux-gnu.so.p/_ball_tree.c:58346:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 58346 | __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-314-powerpc64le-linux-gnu.so.p/_ball_tree.c:58369:20: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 58369 | __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-314-powerpc64le-linux-gnu.so.p/_ball_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_init_node32’: sklearn/neighbors/_ball_tree.cpython-314-powerpc64le-linux-gnu.so.p/_ball_tree.c:59721:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 59721 | __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-314-powerpc64le-linux-gnu.so.p/_ball_tree.c:59744:20: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 59744 | __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-314-powerpc64le-linux-gnu.so.p/_ball_tree.c:55768:19: sklearn/neighbors/_ball_tree.cpython-314-powerpc64le-linux-gnu.so.p/_ball_tree.c:58095:52: warning: ‘__pyx_v_sample_weight’ may be used uninitialized [-Wmaybe-uninitialized] 58095 | __pyx_v_N = (__pyx_v_N + (__pyx_v_sample_weight[(__pyx_v_idx_array[__pyx_v_i])])); | ^ sklearn/neighbors/_ball_tree.cpython-314-powerpc64le-linux-gnu.so.p/_ball_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree32__kde_single_depthfirst’: sklearn/neighbors/_ball_tree.cpython-314-powerpc64le-linux-gnu.so.p/_ball_tree.c:55345:55: note: ‘__pyx_v_sample_weight’ was declared here 55345 | __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-314-powerpc64le-linux-gnu.so.p/_ball_tree.c:41946:19: sklearn/neighbors/_ball_tree.cpython-314-powerpc64le-linux-gnu.so.p/_ball_tree.c:58154:52: warning: ‘__pyx_v_sample_weight’ may be used uninitialized [-Wmaybe-uninitialized] 58154 | __pyx_v_N = (__pyx_v_N + (__pyx_v_sample_weight[(__pyx_v_idx_array[__pyx_v_i])])); | ^ sklearn/neighbors/_ball_tree.cpython-314-powerpc64le-linux-gnu.so.p/_ball_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree64__kde_single_depthfirst’: sklearn/neighbors/_ball_tree.cpython-314-powerpc64le-linux-gnu.so.p/_ball_tree.c:41523:55: note: ‘__pyx_v_sample_weight’ was declared here 41523 | __pyx_t_7sklearn_5utils_9_typedefs_float64_t const *__pyx_v_sample_weight; | ^~~~~~~~~~~~~~~~~~~~~ [177/251] Generating sklearn/write_built_with_meson_file with a custom command [178/251] Compiling C object sklearn/neighbors/_kd_tree.cpython-314-powerpc64le-linux-gnu.so.p/meson-generated__kd_tree.c.o sklearn/neighbors/_kd_tree.cpython-314-powerpc64le-linux-gnu.so.p/_kd_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree64__recursive_build’: sklearn/neighbors/_kd_tree.cpython-314-powerpc64le-linux-gnu.so.p/_kd_tree.c:32617:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 32617 | __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-314-powerpc64le-linux-gnu.so.p/_kd_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree64__query_radius_single’: sklearn/neighbors/_kd_tree.cpython-314-powerpc64le-linux-gnu.so.p/_kd_tree.c:40032:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 40032 | __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-314-powerpc64le-linux-gnu.so.p/_kd_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree64__kde_single_breadthfirst’: sklearn/neighbors/_kd_tree.cpython-314-powerpc64le-linux-gnu.so.p/_kd_tree.c:40585:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 40585 | __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-314-powerpc64le-linux-gnu.so.p/_kd_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree64__kde_single_depthfirst’: sklearn/neighbors/_kd_tree.cpython-314-powerpc64le-linux-gnu.so.p/_kd_tree.c:41491:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 41491 | __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-314-powerpc64le-linux-gnu.so.p/_kd_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree64__two_point_single’: sklearn/neighbors/_kd_tree.cpython-314-powerpc64le-linux-gnu.so.p/_kd_tree.c:42102:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 42102 | __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-314-powerpc64le-linux-gnu.so.p/_kd_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree64__two_point_dual’: sklearn/neighbors/_kd_tree.cpython-314-powerpc64le-linux-gnu.so.p/_kd_tree.c:42505:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 42505 | __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-314-powerpc64le-linux-gnu.so.p/_kd_tree.c:42515:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 42515 | __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-314-powerpc64le-linux-gnu.so.p/_kd_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree32__recursive_build’: sklearn/neighbors/_kd_tree.cpython-314-powerpc64le-linux-gnu.so.p/_kd_tree.c:46430:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 46430 | __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-314-powerpc64le-linux-gnu.so.p/_kd_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree32__query_radius_single’: sklearn/neighbors/_kd_tree.cpython-314-powerpc64le-linux-gnu.so.p/_kd_tree.c:53854:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 53854 | __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-314-powerpc64le-linux-gnu.so.p/_kd_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree32__kde_single_breadthfirst’: sklearn/neighbors/_kd_tree.cpython-314-powerpc64le-linux-gnu.so.p/_kd_tree.c:54407:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 54407 | __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-314-powerpc64le-linux-gnu.so.p/_kd_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree32__kde_single_depthfirst’: sklearn/neighbors/_kd_tree.cpython-314-powerpc64le-linux-gnu.so.p/_kd_tree.c:55313:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 55313 | __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-314-powerpc64le-linux-gnu.so.p/_kd_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree32__two_point_single’: sklearn/neighbors/_kd_tree.cpython-314-powerpc64le-linux-gnu.so.p/_kd_tree.c:55924:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 55924 | __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-314-powerpc64le-linux-gnu.so.p/_kd_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree32__two_point_dual’: sklearn/neighbors/_kd_tree.cpython-314-powerpc64le-linux-gnu.so.p/_kd_tree.c:56327:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 56327 | __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-314-powerpc64le-linux-gnu.so.p/_kd_tree.c:56337:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 56337 | __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-314-powerpc64le-linux-gnu.so.p/_kd_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_init_node64’: sklearn/neighbors/_kd_tree.cpython-314-powerpc64le-linux-gnu.so.p/_kd_tree.c:58211:24: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 58211 | __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-314-powerpc64le-linux-gnu.so.p/_kd_tree.c:58223:24: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 58223 | __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-314-powerpc64le-linux-gnu.so.p/_kd_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_init_node32’: sklearn/neighbors/_kd_tree.cpython-314-powerpc64le-linux-gnu.so.p/_kd_tree.c:60020:24: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 60020 | __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-314-powerpc64le-linux-gnu.so.p/_kd_tree.c:60032:24: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 60032 | __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-314-powerpc64le-linux-gnu.so.p/_kd_tree.c:55636:19: sklearn/neighbors/_kd_tree.cpython-314-powerpc64le-linux-gnu.so.p/_kd_tree.c:57963:52: warning: ‘__pyx_v_sample_weight’ may be used uninitialized [-Wmaybe-uninitialized] 57963 | __pyx_v_N = (__pyx_v_N + (__pyx_v_sample_weight[(__pyx_v_idx_array[__pyx_v_i])])); | ^ sklearn/neighbors/_kd_tree.cpython-314-powerpc64le-linux-gnu.so.p/_kd_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree32__kde_single_depthfirst’: sklearn/neighbors/_kd_tree.cpython-314-powerpc64le-linux-gnu.so.p/_kd_tree.c:55213:55: note: ‘__pyx_v_sample_weight’ was declared here 55213 | __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-314-powerpc64le-linux-gnu.so.p/_kd_tree.c:41814:19: sklearn/neighbors/_kd_tree.cpython-314-powerpc64le-linux-gnu.so.p/_kd_tree.c:58022:52: warning: ‘__pyx_v_sample_weight’ may be used uninitialized [-Wmaybe-uninitialized] 58022 | __pyx_v_N = (__pyx_v_N + (__pyx_v_sample_weight[(__pyx_v_idx_array[__pyx_v_i])])); | ^ sklearn/neighbors/_kd_tree.cpython-314-powerpc64le-linux-gnu.so.p/_kd_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree64__kde_single_depthfirst’: sklearn/neighbors/_kd_tree.cpython-314-powerpc64le-linux-gnu.so.p/_kd_tree.c:41391:55: note: ‘__pyx_v_sample_weight’ was declared here 41391 | __pyx_t_7sklearn_5utils_9_typedefs_float64_t const *__pyx_v_sample_weight; | ^~~~~~~~~~~~~~~~~~~~~ [179/251] Linking target sklearn/__check_build/_check_build.cpython-314-powerpc64le-linux-gnu.so [180/251] Linking target sklearn/_isotonic.cpython-314-powerpc64le-linux-gnu.so [181/251] Compiling C object sklearn/tree/_splitter.cpython-314-powerpc64le-linux-gnu.so.p/meson-generated__splitter.c.o [182/251] Compiling C object sklearn/tree/_partitioner.cpython-314-powerpc64le-linux-gnu.so.p/meson-generated__partitioner.c.o [183/251] Compiling C object sklearn/tree/_utils.cpython-314-powerpc64le-linux-gnu.so.p/meson-generated__utils.c.o [184/251] Linking target sklearn/utils/_cython_blas.cpython-314-powerpc64le-linux-gnu.so [185/251] Linking target sklearn/utils/arrayfuncs.cpython-314-powerpc64le-linux-gnu.so [186/251] Linking target sklearn/utils/sparsefuncs_fast.cpython-314-powerpc64le-linux-gnu.so [187/251] Compiling C object sklearn/tree/_criterion.cpython-314-powerpc64le-linux-gnu.so.p/meson-generated__criterion.c.o [188/251] Linking target sklearn/utils/_openmp_helpers.cpython-314-powerpc64le-linux-gnu.so [189/251] Linking target sklearn/utils/murmurhash.cpython-314-powerpc64le-linux-gnu.so [190/251] Linking target sklearn/utils/_heap.cpython-314-powerpc64le-linux-gnu.so [191/251] Linking target sklearn/utils/_sorting.cpython-314-powerpc64le-linux-gnu.so [192/251] Linking target sklearn/utils/_fast_dict.cpython-314-powerpc64le-linux-gnu.so [193/251] Linking target sklearn/utils/_typedefs.cpython-314-powerpc64le-linux-gnu.so [194/251] Linking target sklearn/utils/_random.cpython-314-powerpc64le-linux-gnu.so [195/251] Linking target sklearn/utils/_vector_sentinel.cpython-314-powerpc64le-linux-gnu.so [196/251] Linking target sklearn/utils/_seq_dataset.cpython-314-powerpc64le-linux-gnu.so [197/251] Linking target sklearn/utils/_isfinite.cpython-314-powerpc64le-linux-gnu.so [198/251] Linking target sklearn/utils/_weight_vector.cpython-314-powerpc64le-linux-gnu.so [199/251] Compiling C++ object sklearn/tree/_tree.cpython-314-powerpc64le-linux-gnu.so.p/meson-generated__tree.cpp.o In file included from /usr/include/c++/15/ppc64le-redhat-linux/bits/c++allocator.h:33, from /usr/include/c++/15/bits/allocator.h:46, from /usr/include/c++/15/string:45, from /usr/include/c++/15/bits/locale_classes.h:42, from /usr/include/c++/15/bits/ios_base.h:43, from /usr/include/c++/15/ios:46, from sklearn/tree/_tree.cpython-314-powerpc64le-linux-gnu.so.p/_tree.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++/15/bits/alloc_traits.h:674:17, inlined from ‘std::deque >::_M_push_back_aux(long const&)void’ at /usr/include/c++/15/bits/deque.tcc:501:30, inlined from ‘std::deque >::push_back(long const&)’ at /usr/include/c++/15/bits/stl_deque.h:1615:20, inlined from ‘std::stack > >::push(long const&)’ at /usr/include/c++/15/bits/stl_stack.h:287:20, 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-314-powerpc64le-linux-gnu.so.p/_tree.cpp:43847:44: /usr/include/c++/15/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-314-powerpc64le-linux-gnu.so.p/_tree.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-314-powerpc64le-linux-gnu.so.p/_tree.cpp:42977:45: note: ‘__pyx_v_pruned_branch_node_idx’ was declared here 42977 | __pyx_t_7sklearn_5utils_9_typedefs_intp_t __pyx_v_pruned_branch_node_idx; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [200/251] Linking target sklearn/metrics/_pairwise_fast.cpython-314-powerpc64le-linux-gnu.so [201/251] Linking target sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-powerpc64le-linux-gnu.so [202/251] Linking target sklearn/metrics/_dist_metrics.cpython-314-powerpc64le-linux-gnu.so [203/251] Linking target sklearn/metrics/_pairwise_distances_reduction/_datasets_pair.cpython-314-powerpc64le-linux-gnu.so [204/251] Linking target sklearn/metrics/_pairwise_distances_reduction/_middle_term_computer.cpython-314-powerpc64le-linux-gnu.so [205/251] Linking target sklearn/metrics/_pairwise_distances_reduction/_argkmin.cpython-314-powerpc64le-linux-gnu.so [206/251] Linking target sklearn/_loss/_loss.cpython-314-powerpc64le-linux-gnu.so [207/251] Linking target sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors.cpython-314-powerpc64le-linux-gnu.so [208/251] Linking target sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors_classmode.cpython-314-powerpc64le-linux-gnu.so [209/251] Linking target sklearn/metrics/_pairwise_distances_reduction/_argkmin_classmode.cpython-314-powerpc64le-linux-gnu.so [210/251] Linking target sklearn/cluster/_dbscan_inner.cpython-314-powerpc64le-linux-gnu.so [211/251] Linking target sklearn/metrics/cluster/_expected_mutual_info_fast.cpython-314-powerpc64le-linux-gnu.so [212/251] Linking target sklearn/cluster/_hierarchical_fast.cpython-314-powerpc64le-linux-gnu.so [213/251] Linking target sklearn/cluster/_k_means_lloyd.cpython-314-powerpc64le-linux-gnu.so [214/251] Linking target sklearn/cluster/_k_means_minibatch.cpython-314-powerpc64le-linux-gnu.so [215/251] Linking target sklearn/cluster/_k_means_common.cpython-314-powerpc64le-linux-gnu.so [216/251] Linking target sklearn/cluster/_hdbscan/_linkage.cpython-314-powerpc64le-linux-gnu.so [217/251] Linking target sklearn/cluster/_k_means_elkan.cpython-314-powerpc64le-linux-gnu.so [218/251] Linking target sklearn/cluster/_hdbscan/_reachability.cpython-314-powerpc64le-linux-gnu.so [219/251] Linking target sklearn/cluster/_hdbscan/_tree.cpython-314-powerpc64le-linux-gnu.so [220/251] Linking target sklearn/decomposition/_online_lda_fast.cpython-314-powerpc64le-linux-gnu.so [221/251] Linking target sklearn/ensemble/_hist_gradient_boosting/_gradient_boosting.cpython-314-powerpc64le-linux-gnu.so [222/251] Linking target sklearn/decomposition/_cdnmf_fast.cpython-314-powerpc64le-linux-gnu.so [223/251] Linking target sklearn/ensemble/_gradient_boosting.cpython-314-powerpc64le-linux-gnu.so [224/251] Linking target sklearn/datasets/_svmlight_format_fast.cpython-314-powerpc64le-linux-gnu.so [225/251] Linking target sklearn/ensemble/_hist_gradient_boosting/histogram.cpython-314-powerpc64le-linux-gnu.so [226/251] Linking target sklearn/ensemble/_hist_gradient_boosting/_binning.cpython-314-powerpc64le-linux-gnu.so [227/251] Linking target sklearn/ensemble/_hist_gradient_boosting/_predictor.cpython-314-powerpc64le-linux-gnu.so [228/251] Linking target sklearn/ensemble/_hist_gradient_boosting/splitting.cpython-314-powerpc64le-linux-gnu.so [229/251] Linking target sklearn/feature_extraction/_hashing_fast.cpython-314-powerpc64le-linux-gnu.so [230/251] Linking target sklearn/ensemble/_hist_gradient_boosting/_bitset.cpython-314-powerpc64le-linux-gnu.so [231/251] Linking target sklearn/ensemble/_hist_gradient_boosting/common.cpython-314-powerpc64le-linux-gnu.so [232/251] Linking target sklearn/linear_model/_cd_fast.cpython-314-powerpc64le-linux-gnu.so [233/251] Linking target sklearn/linear_model/_sgd_fast.cpython-314-powerpc64le-linux-gnu.so [234/251] Linking target sklearn/neighbors/_partition_nodes.cpython-314-powerpc64le-linux-gnu.so [235/251] Linking target sklearn/linear_model/_sag_fast.cpython-314-powerpc64le-linux-gnu.so [236/251] Linking target sklearn/manifold/_utils.cpython-314-powerpc64le-linux-gnu.so [237/251] Linking target sklearn/manifold/_barnes_hut_tsne.cpython-314-powerpc64le-linux-gnu.so [238/251] Linking target sklearn/svm/_newrand.cpython-314-powerpc64le-linux-gnu.so [239/251] Linking target sklearn/neighbors/_quad_tree.cpython-314-powerpc64le-linux-gnu.so [240/251] Linking target sklearn/preprocessing/_csr_polynomial_expansion.cpython-314-powerpc64le-linux-gnu.so [241/251] Linking target sklearn/neighbors/_kd_tree.cpython-314-powerpc64le-linux-gnu.so [242/251] Linking target sklearn/preprocessing/_target_encoder_fast.cpython-314-powerpc64le-linux-gnu.so [243/251] Linking target sklearn/svm/_libsvm.cpython-314-powerpc64le-linux-gnu.so [244/251] Linking target sklearn/svm/_libsvm_sparse.cpython-314-powerpc64le-linux-gnu.so [245/251] Linking target sklearn/neighbors/_ball_tree.cpython-314-powerpc64le-linux-gnu.so [246/251] Linking target sklearn/tree/_splitter.cpython-314-powerpc64le-linux-gnu.so [247/251] Linking target sklearn/svm/_liblinear.cpython-314-powerpc64le-linux-gnu.so [248/251] Linking target sklearn/tree/_partitioner.cpython-314-powerpc64le-linux-gnu.so [249/251] Linking target sklearn/tree/_criterion.cpython-314-powerpc64le-linux-gnu.so [250/251] Linking target sklearn/tree/_utils.cpython-314-powerpc64le-linux-gnu.so [251/251] Linking target sklearn/tree/_tree.cpython-314-powerpc64le-linux-gnu.so [1/950] /builddir/build/BUILD/python-scikit-learn-1.7.1-build/scikit_learn-1.7.1/.mesonpy-_a4dbpaw/sklearn/_built_with_meson.py [2/950] /builddir/build/BUILD/python-scikit-learn-1.7.1-build/scikit_learn-1.7.1/.mesonpy-_a4dbpaw/sklearn/_isotonic.cpython-314-powerpc64le-linux-gnu.so [3/950] /builddir/build/BUILD/python-scikit-learn-1.7.1-build/scikit_learn-1.7.1/.mesonpy-_a4dbpaw/sklearn/__check_build/_check_build.cpython-314-powerpc64le-linux-gnu.so [4/950] /builddir/build/BUILD/python-scikit-learn-1.7.1-build/scikit_learn-1.7.1/.mesonpy-_a4dbpaw/sklearn/_loss/_loss.cpython-314-powerpc64le-linux-gnu.so [5/950] /builddir/build/BUILD/python-scikit-learn-1.7.1-build/scikit_learn-1.7.1/.mesonpy-_a4dbpaw/sklearn/utils/sparsefuncs_fast.cpython-314-powerpc64le-linux-gnu.so 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/builddir/build/BUILD/python-scikit-learn-1.7.1-build/scikit_learn-1.7.1/.mesonpy-_a4dbpaw/sklearn/utils/_typedefs.cpython-314-powerpc64le-linux-gnu.so [13/950] /builddir/build/BUILD/python-scikit-learn-1.7.1-build/scikit_learn-1.7.1/.mesonpy-_a4dbpaw/sklearn/utils/_heap.cpython-314-powerpc64le-linux-gnu.so [14/950] /builddir/build/BUILD/python-scikit-learn-1.7.1-build/scikit_learn-1.7.1/.mesonpy-_a4dbpaw/sklearn/utils/_sorting.cpython-314-powerpc64le-linux-gnu.so [15/950] /builddir/build/BUILD/python-scikit-learn-1.7.1-build/scikit_learn-1.7.1/.mesonpy-_a4dbpaw/sklearn/utils/_vector_sentinel.cpython-314-powerpc64le-linux-gnu.so [16/950] /builddir/build/BUILD/python-scikit-learn-1.7.1-build/scikit_learn-1.7.1/.mesonpy-_a4dbpaw/sklearn/utils/_isfinite.cpython-314-powerpc64le-linux-gnu.so [17/950] /builddir/build/BUILD/python-scikit-learn-1.7.1-build/scikit_learn-1.7.1/.mesonpy-_a4dbpaw/sklearn/utils/_seq_dataset.cpython-314-powerpc64le-linux-gnu.so [18/950] 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/builddir/build/BUILD/python-scikit-learn-1.7.1-build/scikit_learn-1.7.1/sklearn/utils/tests/test_tags.py [945/950] /builddir/build/BUILD/python-scikit-learn-1.7.1-build/scikit_learn-1.7.1/sklearn/utils/tests/test_testing.py [946/950] /builddir/build/BUILD/python-scikit-learn-1.7.1-build/scikit_learn-1.7.1/sklearn/utils/tests/test_typedefs.py [947/950] /builddir/build/BUILD/python-scikit-learn-1.7.1-build/scikit_learn-1.7.1/sklearn/utils/tests/test_unique.py [948/950] /builddir/build/BUILD/python-scikit-learn-1.7.1-build/scikit_learn-1.7.1/sklearn/utils/tests/test_user_interface.py [949/950] /builddir/build/BUILD/python-scikit-learn-1.7.1-build/scikit_learn-1.7.1/sklearn/utils/tests/test_validation.py [950/950] /builddir/build/BUILD/python-scikit-learn-1.7.1-build/scikit_learn-1.7.1/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-1.7.1-cp314-cp314-linux_ppc64le.whl size=49937008 sha256=0c2a7dc7f11b7937e3d1bb1947ed8fa5a14f89896e851abdfe37d96bbcaff10d Stored in directory: /builddir/.cache/pip/wheels/e9/c6/f7/b7db32c40ed4fd3c9ae5a34fe97090ffa5760d8d78467e5969 Successfully built scikit-learn + RPM_EC=0 ++ jobs -p + exit 0 Executing(%install): /bin/sh -e /var/tmp/rpm-tmp.iAkkYD + umask 022 + cd /builddir/build/BUILD/python-scikit-learn-1.7.1-build + '[' /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT '!=' / ']' + rm -rf /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT ++ dirname /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT + mkdir -p /builddir/build/BUILD/python-scikit-learn-1.7.1-build + mkdir /builddir/build/BUILD/python-scikit-learn-1.7.1-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 -mcpu=power8 -mtune=power8 -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 -mcpu=power8 -mtune=power8 -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 -mcpu=power8 -mtune=power8 -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 -mcpu=power8 -mtune=power8 -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,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-hardened-ld-errors -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-1.7.1 ++ ls /builddir/build/BUILD/python-scikit-learn-1.7.1-build/scikit_learn-1.7.1/pyproject-wheeldir/scikit_learn-1.7.1-cp314-cp314-linux_ppc64le.whl ++ sed -E 's/([^-]+)-([^-]+)-.+\.whl/\1==\2/' ++ xargs basename --multiple + specifier=scikit_learn==1.7.1 + '[' -z scikit_learn==1.7.1 ']' + TMPDIR=/builddir/build/BUILD/python-scikit-learn-1.7.1-build/scikit_learn-1.7.1/.pyproject-builddir + /usr/bin/python3 -m pip install --root /builddir/build/BUILD/python-scikit-learn-1.7.1-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-1.7.1-build/scikit_learn-1.7.1/pyproject-wheeldir scikit_learn==1.7.1 Using pip 25.1.1 from /usr/lib/python3.14/site-packages/pip (python 3.14) Looking in links: /builddir/build/BUILD/python-scikit-learn-1.7.1-build/scikit_learn-1.7.1/pyproject-wheeldir Processing ./pyproject-wheeldir/scikit_learn-1.7.1-cp314-cp314-linux_ppc64le.whl Installing collected packages: scikit_learn Successfully installed scikit_learn-1.7.1 + '[' -d /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/bin ']' + rm -f /builddir/build/BUILD/python-scikit-learn-1.7.1-build/python-scikit-learn-1.7.1-1.fc43.ppc64le-pyproject-ghost-distinfo + site_dirs=() + '[' -d /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib/python3.14/site-packages ']' + '[' /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages '!=' /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib/python3.14/site-packages ']' + '[' -d /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages ']' + site_dirs+=("/usr/lib64/python3.14/site-packages") + for site_dir in ${site_dirs[@]} + for distinfo in /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT$site_dir/*.dist-info + echo '%ghost /usr/lib64/python3.14/site-packages/scikit_learn-1.7.1.dist-info' + sed -i s/pip/rpm/ /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/scikit_learn-1.7.1.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-1.7.1-build/BUILDROOT --record /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/scikit_learn-1.7.1.dist-info/RECORD --output /builddir/build/BUILD/python-scikit-learn-1.7.1-build/python-scikit-learn-1.7.1-1.fc43.ppc64le-pyproject-record + rm -fv /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/scikit_learn-1.7.1.dist-info/RECORD removed '/builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/scikit_learn-1.7.1.dist-info/RECORD' + rm -fv /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/scikit_learn-1.7.1.dist-info/REQUESTED removed '/builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/scikit_learn-1.7.1.dist-info/REQUESTED' ++ wc -l /builddir/build/BUILD/python-scikit-learn-1.7.1-build/python-scikit-learn-1.7.1-1.fc43.ppc64le-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-1.7.1-build/python-scikit-learn-1.7.1-1.fc43.ppc64le-pyproject-files --output-modules /builddir/build/BUILD/python-scikit-learn-1.7.1-build/python-scikit-learn-1.7.1-1.fc43.ppc64le-pyproject-modules --buildroot /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT --sitelib /usr/lib/python3.14/site-packages --sitearch /usr/lib64/python3.14/site-packages --python-version 3.14 --pyproject-record /builddir/build/BUILD/python-scikit-learn-1.7.1-build/python-scikit-learn-1.7.1-1.fc43.ppc64le-pyproject-record --prefix /usr sklearn + /usr/bin/find-debuginfo -j5 --strict-build-id -m -i --build-id-seed 1.7.1-1.fc43 --unique-debug-suffix -1.7.1-1.fc43.ppc64le --unique-debug-src-base python-scikit-learn-1.7.1-1.fc43.ppc64le --run-dwz --dwz-low-mem-die-limit 10000000 --dwz-max-die-limit 50000000 -S debugsourcefiles.list /builddir/build/BUILD/python-scikit-learn-1.7.1-build/scikit_learn-1.7.1 find-debuginfo: starting Extracting debug info from 68 files DWARF-compressing 68 files sepdebugcrcfix: Updated 68 CRC32s, 0 CRC32s did match. 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/builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/_loss/tests/__pycache__/test_loss.cpython-314.opt-1.pyc: replacing with normalized version Scanned 268 directories and 2282 files, processed 959 inodes, 877 modified (510 replaced + 367 rewritten), 0 unsupported format, 0 errors Reading /builddir/build/BUILD/python-scikit-learn-1.7.1-build/SPECPARTS/rpm-debuginfo.specpart Executing(%check): /bin/sh -e /var/tmp/rpm-tmp.WVWGRw + umask 022 + cd /builddir/build/BUILD/python-scikit-learn-1.7.1-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 -mcpu=power8 -mtune=power8 -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 -mcpu=power8 -mtune=power8 -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 -mcpu=power8 -mtune=power8 -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 -mcpu=power8 -mtune=power8 -fasynchronous-unwind-tables -fstack-clash-protection -I/usr/lib64/gfortran/modules ' + export FCFLAGS ~/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages ~/build/BUILD/python-scikit-learn-1.7.1-build/scikit_learn-1.7.1 + 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,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-hardened-ld-errors -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-1.7.1 + export PYTHONDONTWRITEBYTECODE=1 + PYTHONDONTWRITEBYTECODE=1 + export 'PYTEST_ADDOPTS=-p no:cacheprovider' + PYTEST_ADDOPTS='-p no:cacheprovider' + pushd /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/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/utils/tests/test_validation.py::test_check_is_fitted_with_attributes[list]' --deselect sklearn/utils/tests/test_validation.py::test_check_is_fitted --deselect sklearn/cluster/tests/test_optics.py::test_warn_if_metric_bool_data_no_bool --deselect sklearn/datasets/tests/test_openml.py::test_open_openml_url_retry_on_network_error --deselect 'sklearn/tests/test_calibration.py::test_calibrated_classifier_cv_zeros_sample_weights_equivalence[True-isotonic]' sklearn ============================= test session starts ============================== platform linux -- Python 3.14.0rc1, pytest-8.3.5, pluggy-1.6.0 rootdir: /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages collected 39035 items / 34 deselected / 1 skipped / 39001 selected 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[100%] =============================== warnings summary =============================== sklearn/utils/_test_common/instance_generator.py:765 sklearn/utils/_test_common/instance_generator.py:765 sklearn/utils/_test_common/instance_generator.py:765 sklearn/utils/_test_common/instance_generator.py:765 sklearn/utils/_test_common/instance_generator.py:765 sklearn/utils/_test_common/instance_generator.py:765 sklearn/utils/_test_common/instance_generator.py:765 /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/_test_common/instance_generator.py:765: SkipTestWarning: Can't instantiate estimator FrozenEstimator warnings.warn(msg, SkipTestWarning) sklearn/utils/_test_common/instance_generator.py:765 sklearn/utils/_test_common/instance_generator.py:765 sklearn/utils/_test_common/instance_generator.py:765 sklearn/utils/_test_common/instance_generator.py:765 sklearn/utils/_test_common/instance_generator.py:765 sklearn/utils/_test_common/instance_generator.py:765 sklearn/utils/_test_common/instance_generator.py:765 sklearn/utils/_test_common/instance_generator.py:765 /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/_test_common/instance_generator.py:765: SkipTestWarning: Can't instantiate estimator SparseCoder warnings.warn(msg, SkipTestWarning) sklearn/utils/estimator_checks.py:367 /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/estimator_checks.py:367: SkipTestWarning: Explicit SKIP via _skip_test tag for estimator ClassifierChain. warnings.warn( sklearn/utils/estimator_checks.py:359 /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/estimator_checks.py:359: 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:359 /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/estimator_checks.py:359: 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:359 /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/estimator_checks.py:359: 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:359 /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/estimator_checks.py:359: 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:359 /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/estimator_checks.py:359: 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:359 /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/estimator_checks.py:359: 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:359 /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/estimator_checks.py:359: 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:359 /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/estimator_checks.py:359: 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:367 /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/estimator_checks.py:367: SkipTestWarning: Explicit SKIP via _skip_test tag for estimator MultiOutputClassifier. warnings.warn( sklearn/utils/estimator_checks.py:359 /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/estimator_checks.py:359: 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:359 /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/estimator_checks.py:359: 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-1.7.1/sklearn/utils/_typedefs.pyx:21 /builddir/build/BUILD/python-scikit-learn-1.7.1-build/scikit_learn-1.7.1/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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/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-warn] /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/base.py:1365: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/cluster/_birch.py:730: 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: 21 warnings /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/cluster/_hdbscan/hdbscan.py:266: UserWarning: The minimum spanning tree contains edge weights with value infinity. Potentially, you are missing too many distances in the initial distance matrix for the given neighborhood size. warn( sklearn/cluster/tests/test_hierarchical.py::test_affinity_passed_to_fix_connectivity /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/cluster/_agglomerative.py:592: 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_spectral.py::test_precomputed_nearest_neighbors_filtering[42] sklearn/cluster/tests/test_spectral.py::test_precomputed_nearest_neighbors_filtering[42] 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/manifold/_spectral_embedding.py:328: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/cluster/tests/test_spectral.py:315: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray. X = np.matrix([[0.0, 2.0], [2.0, 0.0]]) sklearn/covariance/tests/test_graphical_lasso.py::test_graphical_lasso_n_iter[cd] /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/covariance/_graph_lasso.py:140: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.809e-04, tolerance: 8.877e-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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/covariance/_graph_lasso.py:140: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.010e-03, tolerance: 8.969e-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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/covariance/_graph_lasso.py:140: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.290e-03, tolerance: 1.144e-04 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/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/python3.14/site-packages/numpy/_core/_methods.py:190: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/datasets/_openml.py:1031: 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/python3.14/site-packages/scipy/sparse/_data.py:73: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_stochastic_gradient.py:726: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/decomposition/_nmf.py:1728: ConvergenceWarning: Maximum number of iterations 200 reached. Increase it to improve convergence. warnings.warn( sklearn/decomposition/tests/test_nmf.py: 13 warnings /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/decomposition/_nmf.py:2314: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/decomposition/_nmf.py:1728: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/decomposition/_nmf.py:1581: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/decomposition/_nmf.py:1728: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/decomposition/_nmf.py:178: 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_matrix] sklearn/decomposition/tests/test_online_lda.py::test_lda_empty_docs[csr_array] sklearn/decomposition/tests/test_online_lda.py::test_lda_empty_docs[csr_array] /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/decomposition/_lda.py:924: RuntimeWarning: invalid value encountered in scalar divide perword_bound = bound / word_cnt sklearn/ensemble/tests/test_bagging.py: 33 warnings /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/ensemble/_bagging.py:1121: RuntimeWarning: divide by zero encountered in log log_proba = np.log(self.predict_proba(X, **params)) 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/ensemble/_bagging.py:923: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/ensemble/_bagging.py:917: 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: 8 warnings sklearn/tree/tests/test_tree.py: 73 warnings sklearn/utils/tests/test_response.py: 1 warning /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/tree/_classes.py:1089: RuntimeWarning: divide by zero encountered in log return np.log(proba) sklearn/ensemble/tests/test_common.py: 8 warnings sklearn/linear_model/tests/test_common.py: 2 warnings sklearn/linear_model/tests/test_logistic.py: 1 warning sklearn/model_selection/tests/test_validation.py: 63 warnings sklearn/tests/test_multioutput.py: 1 warning sklearn/tests/test_pipeline.py: 2 warnings sklearn/utils/_repr_html/tests/test_estimator.py: 1 warning sklearn/utils/tests/test_estimator_checks.py: 2 warnings /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_logistic.py:473: ConvergenceWarning: lbfgs failed to converge after 100 iteration(s) (status=1): STOP: TOTAL NO. OF ITERATIONS REACHED LIMIT Increase the number of iterations to improve the convergence (max_iter=100). You might also want to 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/ensemble/_forest.py:860: 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_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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/base.py:1365: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/neural_network/_multilayer_perceptron.py:781: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/ensemble/_weight_boosting.py:610: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/ensemble/_weight_boosting.py:609: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/model_selection/_split.py:811: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/feature_selection/_univariate_selection.py:110: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/feature_selection/_univariate_selection.py:111: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/svm/_base.py:1250: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/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: 11 warnings /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/gaussian_process/kernels.py:450: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/gaussian_process/kernels.py:440: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/gaussian_process/kernels.py:450: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/gaussian_process/kernels.py:440: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/gaussian_process/kernels.py:440: 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_random_starts /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/gaussian_process/kernels.py:440: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/gaussian_process/kernels.py:440: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/gaussian_process/kernels.py:440: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/gaussian_process/kernels.py:450: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/gaussian_process/kernels.py:450: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/gaussian_process/kernels.py:440: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/gaussian_process/kernels.py:450: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/gaussian_process/kernels.py:355: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/gaussian_process/kernels.py:450: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/gaussian_process/_gpr.py:481: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/impute/_base.py:637: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/impute/_base.py:637: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/impute/_base.py:637: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/impute/_base.py:637: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/impute/_base.py:637: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/impute/_base.py:637: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_stochastic_gradient.py:1579: 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::test_balance_property[42-True-LogisticRegression] sklearn/linear_model/tests/test_logistic.py::test_l1_ratio_non_elasticnet sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-sag-wide-None-False] sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-sag-wide-csr_matrix-False] sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-sag-wide-csr_array-False] sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-saga-wide-None-False] sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-saga-wide-csr_matrix-False] sklearn/linear_model/tests/test_ridge.py::test_ridge_sample_weight_consistency[42-saga-wide-csr_array-False] /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/validation.py:1406: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:1714: 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/python3.14/site-packages/numpy/_core/_methods.py:134: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_base.py:312: RuntimeWarning: invalid value encountered in matmul intercept_ = y_offset - X_offset @ coef_ sklearn/linear_model/tests/test_coordinate_descent.py: 25 warnings /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/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_coordinate_descent.py::test_linear_model_cv_alphas[ElasticNetCV] sklearn/linear_model/tests/test_coordinate_descent.py::test_linear_model_cv_alphas[ElasticNetCV] sklearn/linear_model/tests/test_coordinate_descent.py::test_linear_model_cv_alphas[LassoCV] sklearn/linear_model/tests/test_coordinate_descent.py::test_linear_model_cv_alphas[LassoCV] /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/base.py:1365: UserWarning: With alpha=0, this algorithm does not converge well. You are advised to use the LinearRegression estimator return fit_method(estimator, *args, **kwargs) sklearn/linear_model/tests/test_coordinate_descent.py: 20 warnings /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: UserWarning: Coordinate descent with l1_reg=0 may lead to unexpected results and is discouraged. model = cd_fast.enet_coordinate_descent_multi_task( sklearn/linear_model/tests/test_coordinate_descent.py::test_linear_model_cv_alphas[MultiTaskLassoCV] sklearn/linear_model/tests/test_coordinate_descent.py::test_linear_model_cv_alphas[MultiTaskLassoCV] sklearn/linear_model/tests/test_coordinate_descent.py::test_linear_model_cv_alphas[MultiTaskElasticNetCV] sklearn/linear_model/tests/test_coordinate_descent.py::test_linear_model_cv_alphas[MultiTaskElasticNetCV] /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:2712: UserWarning: Coordinate descent with l1_reg=0 may lead to unexpected results and is discouraged. ) = cd_fast.enet_coordinate_descent_multi_task( sklearn/linear_model/tests/test_huber.py::test_huber_max_iter /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_huber.py:348: ConvergenceWarning: lbfgs failed to converge after 1 iteration(s) (status=1): STOP: TOTAL NO. OF ITERATIONS REACHED LIMIT Increase the number of iterations to improve the convergence (max_iter=1). You might also want to 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/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_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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_huber.py:348: ConvergenceWarning: lbfgs failed to converge after 100 iteration(s) (status=1): STOP: TOTAL NO. OF ITERATIONS REACHED LIMIT Increase the number of iterations to improve the convergence (max_iter=100). You might also want to 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_ridge.py::test_ridge_regression_unpenalized[wide-42-True-cholesky] sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_hstacked_X[wide-42-True-cholesky] sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[wide-42-True-cholesky] sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[wide-42-False-cholesky] sklearn/linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeClassifierCV-3] /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_ridge.py:252: UserWarning: Singular matrix in solving dual problem. Using least-squares solution instead. warnings.warn( sklearn/linear_model/tests/test_ridge.py::test_ridge_classifier_with_scoring[None-cv1-_accuracy_callable] /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/model_selection/_search.py:881: UserWarning: The scoring make_scorer(_accuracy_callable, response_method='predict') does not support sample_weight, which may lead to statistically incorrect results when fitting GridSearchCV(cv=KFold(n_splits=5, random_state=None, shuffle=False), estimator=RidgeClassifier(), param_grid={'alpha': array([ 0.1, 1. , 10. ])}, scoring=make_scorer(_accuracy_callable, response_method='predict')) with sample_weight. warnings.warn( sklearn/linear_model/tests/test_ridge.py::test_ridge_classifier_with_scoring[csr_matrix-cv1-_accuracy_callable] sklearn/linear_model/tests/test_ridge.py::test_ridge_classifier_with_scoring[csr_array-cv1-_accuracy_callable] /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/model_selection/_search.py:881: UserWarning: The scoring make_scorer(_accuracy_callable, response_method='predict') does not support sample_weight, which may lead to statistically incorrect results when fitting GridSearchCV(cv=KFold(n_splits=5, random_state=None, shuffle=False), estimator=RidgeClassifier(solver='sparse_cg'), param_grid={'alpha': array([ 0.1, 1. , 10. ])}, scoring=make_scorer(_accuracy_callable, response_method='predict')) with sample_weight. warnings.warn( sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_custom_scoring[None-cv1] /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/model_selection/_search.py:881: UserWarning: The scoring make_scorer(_dummy_score, response_method='predict') does not support sample_weight, which may lead to statistically incorrect results when fitting GridSearchCV(cv=KFold(n_splits=5, random_state=None, shuffle=False), estimator=RidgeClassifier(), param_grid={'alpha': array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02])}, scoring=make_scorer(_dummy_score, response_method='predict')) with sample_weight. warnings.warn( sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_custom_scoring[csr_matrix-cv1] sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_custom_scoring[csr_array-cv1] /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/model_selection/_search.py:881: UserWarning: The scoring make_scorer(_dummy_score, response_method='predict') does not support sample_weight, which may lead to statistically incorrect results when fitting GridSearchCV(cv=KFold(n_splits=5, random_state=None, shuffle=False), estimator=RidgeClassifier(solver='sparse_cg'), param_grid={'alpha': array([1.e-02, 1.e-01, 1.e+00, 1.e+01, 1.e+02])}, scoring=make_scorer(_dummy_score, response_method='predict')) with sample_weight. warnings.warn( sklearn/linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeCV-3] /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_ridge.py:250: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_ridge.py:250: LinAlgWarning: Ill-conditioned matrix (rcond=5.49293e-17): result may not be accurate. dual_coef = linalg.solve(K, y, assume_a="pos", overwrite_a=False) sklearn/linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeCV-3] /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_ridge.py:250: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/metrics/_regression.py:1283: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/model_selection/_search.py:1135: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_ridge.py:213: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/model_selection/_split.py:811: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_ridge.py:250: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_ridge.py:250: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:656: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 0.000e+00, tolerance: 0.000e+00 model = cd_fast.sparse_enet_coordinate_descent( sklearn/manifold/tests/test_isomap.py::test_transform[float64-2-None] /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/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/python3.14/site-packages/scipy/sparse/_index.py:168: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/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/cluster/tests/test_supervised.py: 10 warnings /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/metrics/cluster/_supervised.py:49: UserWarning: The number of unique classes is greater than 50% of the number of samples. `y` could represent a regression problem, not a classification problem. type_label = type_of_target(labels_true) sklearn/metrics/cluster/tests/test_supervised.py: 10 warnings /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/metrics/cluster/_supervised.py:50: UserWarning: The number of unique classes is greater than 50% of the number of samples. `y` could represent a regression problem, not a classification problem. type_pred = type_of_target(labels_pred) sklearn/metrics/tests/test_classification.py: 1 warning sklearn/metrics/tests/test_common.py: 76 warnings /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/metrics/_classification.py:1731: 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", result.shape[0]) sklearn/metrics/tests/test_classification.py: 1 warning sklearn/metrics/tests/test_common.py: 25 warnings /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/metrics/_classification.py:1731: 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", result.shape[0]) sklearn/metrics/tests/test_classification.py: 1 warning sklearn/metrics/tests/test_common.py: 75 warnings /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/metrics/_classification.py:1731: 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", result.shape[0]) 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/metrics/_classification.py:1731: 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", result.shape[0]) 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/metrics/_classification.py:1731: 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", result.shape[0]) sklearn/metrics/tests/test_classification.py: 3 warnings sklearn/metrics/tests/test_common.py: 9 warnings /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/metrics/_classification.py:1731: 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", result.shape[0]) sklearn/metrics/tests/test_classification.py::test_likelihood_ratios_warnings[params3-No samples of the positive class are present in `y_true`.] /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/metrics/_classification.py:2331: RuntimeWarning: invalid value encountered in scalar divide positive_likelihood_ratio = pos_num / pos_denom sklearn/metrics/tests/test_classification.py::test_likelihood_ratios_warnings[params3-No samples of the positive class are present in `y_true`.] /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/metrics/_classification.py:2351: RuntimeWarning: invalid value encountered in scalar divide negative_likelihood_ratio = neg_num / neg_denom sklearn/metrics/tests/test_classification.py::test_likelihood_ratios sklearn/metrics/tests/test_classification.py::test_likelihood_ratios_raise_warning_deprecation[True] sklearn/metrics/tests/test_classification.py::test_likelihood_ratios_replace_undefined_by_worst sklearn/metrics/tests/test_classification.py::test_likelihood_ratios_replace_undefined_by_0_fp[replace_undefined_by0-1.0] sklearn/metrics/tests/test_classification.py::test_likelihood_ratios_replace_undefined_by_0_fp[replace_undefined_by1-inf] sklearn/metrics/tests/test_classification.py::test_likelihood_ratios_replace_undefined_by_0_fp[replace_undefined_by2-2.0] sklearn/metrics/tests/test_classification.py::test_likelihood_ratios_replace_undefined_by_0_fp[replace_undefined_by3-nan] sklearn/metrics/tests/test_classification.py::test_likelihood_ratios_replace_undefined_by_0_fp[nan-nan] /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/_param_validation.py:218: UndefinedMetricWarning: `positive_likelihood_ratio` is ill-defined and set to `np.nan`. Use the `replace_undefined_by` param to return func(*args, **kwargs) sklearn/metrics/tests/test_classification.py::test_likelihood_ratios_replace_undefined_by_worst sklearn/metrics/tests/test_classification.py::test_likelihood_ratios_replace_undefined_by_0_tn[replace_undefined_by0-1.0] sklearn/metrics/tests/test_classification.py::test_likelihood_ratios_replace_undefined_by_0_tn[replace_undefined_by1-0.0] sklearn/metrics/tests/test_classification.py::test_likelihood_ratios_replace_undefined_by_0_tn[replace_undefined_by2-0.5] sklearn/metrics/tests/test_classification.py::test_likelihood_ratios_replace_undefined_by_0_tn[replace_undefined_by3-nan] sklearn/metrics/tests/test_classification.py::test_likelihood_ratios_replace_undefined_by_0_tn[nan-nan] /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/_param_validation.py:218: UndefinedMetricWarning: `negative_likelihood_ratio` is ill-defined and set to `np.nan`. Use the `replace_undefined_by` param to control this behavior. To suppress this warning or turn it into an error, see Python's `warnings` module and `warnings.catch_warnings()`. return func(*args, **kwargs) sklearn/metrics/tests/test_classification.py::test_matthews_corrcoef[42] /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/metrics/_classification.py:534: 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_brier_score_loss_invalid_inputs /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/metrics/_classification.py:210: UserWarning: Labels passed were ['eggs', 'spam', 'ham', 'yams']. But this function assumes labels are ordered lexicographically. Pass the ordered labels=['eggs', 'ham', 'spam', 'yams'] and ensure that the columns of y_prob correspond to this ordering. warnings.warn( sklearn/metrics/tests/test_classification.py::test_balanced_accuracy_score[y_true2-y_pred2] /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/metrics/_classification.py:2801: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/metrics/_classification.py:1784: 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_classification.py::test_d2_log_loss_score_label_order sklearn/metrics/tests/test_classification.py::test_d2_log_loss_score_label_order /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/metrics/_classification.py:210: UserWarning: Labels passed were [0, 2, 1]. But this function assumes labels are ordered lexicographically. Pass the ordered labels=[0, 1, 2] and ensure that the columns of y_prob correspond to this ordering. 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/externals/array_api_compat/numpy/_aliases.py:125: RuntimeWarning: invalid value encountered in cast return x.astype(dtype=dtype, copy=copy) 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_common.py::test_returned_value_consistency[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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/metrics/_ranking.py:2051: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/metrics/_classification.py:1731: 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", result.shape[0]) 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/metrics/_classification.py:1731: 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", result.shape[0]) sklearn/metrics/tests/test_common.py: 25 warnings /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/metrics/_classification.py:1731: 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", result.shape[0]) 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/metrics/_classification.py:1731: 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", result.shape[0]) sklearn/metrics/tests/test_common.py: 28 warnings sklearn/metrics/tests/test_score_objects.py: 4 warnings /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/metrics/_classification.py:1731: 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", result.shape[0]) 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_common.py::test_returned_value_consistency[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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/metrics/_classification.py:1731: 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", result.shape[0]) sklearn/metrics/tests/test_ranking.py::test_precision_recall_curve_drop_intermediate /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/metrics/_ranking.py:1046: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/metrics/_regression.py:947: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/metrics/_regression.py:947: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/mixture/_bayesian_mixture.py:814: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/base.py:1365: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/mixture/_base.py:275: 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_search_cv_sample_weight_equivalence[estimator1] sklearn/model_selection/tests/test_search.py::test_search_cv_sample_weight_equivalence[estimator1] sklearn/model_selection/tests/test_search.py::test_empty_cv_iterator_error sklearn/model_selection/tests/test_search.py::test_random_search_bad_cv /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/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: 10 warnings /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/model_selection/_validation.py:953: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/model_selection/_validation.py", line 942, in _score scores = scorer(estimator, X_test, y_test, **score_params) TypeError: test_unsupported_sample_weight_scorer..fake_score_func() takes 2 positional arguments but 3 were given warnings.warn( sklearn/model_selection/tests/test_search.py::test_unsupported_sample_weight_scorer sklearn/model_selection/tests/test_search.py::test_search_cv_results_none_param /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/model_selection/_search.py:1135: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/model_selection/_search.py:1135: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_stochastic_gradient.py:1380: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/model_selection/_split.py:811: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/model_selection/_split.py:811: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/model_selection/_split.py:811: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/model_selection/_split.py:1035: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/model_selection/_split.py:1035: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/model_selection/_split.py:1035: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/model_selection/_split.py:883: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/model_selection/_validation.py:1367: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/model_selection/_validation.py:1367: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/model_selection/_split.py:811: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/model_selection/_validation.py:1367: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/model_selection/_validation.py:1367: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/model_selection/_validation.py:953: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/model_selection/_validation.py", line 942, 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/neighbors/_nca.py:337: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/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/python3.14/site-packages/numpy/_core/numeric.py:476: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/metrics/pairwise.py:2462: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/metrics/pairwise.py:2462: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/metrics/pairwise.py:2462: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/metrics/pairwise.py:2462: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/metrics/pairwise.py:2462: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/metrics/pairwise.py:2462: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/metrics/pairwise.py:2462: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/manifold/_spectral_embedding.py:309: 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/python3.14/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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/extmath.py:1144: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/extmath.py:1149: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/extmath.py:1169: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/preprocessing/_data.py:2846: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/preprocessing/_data.py:2846: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/preprocessing/_data.py:2846: 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/python3.14/site-packages/numpy/lib/_nanfunctions_impl.py:1617: RuntimeWarning: All-NaN slice encountered return fnb._ureduce(a, sklearn/preprocessing/tests/test_discretization.py::test_fit_transform_n_bins_array[quantile-averaged_inverted_cdf-expected5-sample_weight5] /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/preprocessing/_discretization.py:397: 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_n_bins_array[quantile-averaged_inverted_cdf-expected5-sample_weight5] /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/preprocessing/_discretization.py:397: 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_n_bins_array[quantile-averaged_inverted_cdf-expected5-sample_weight5] /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/preprocessing/_discretization.py:397: UserWarning: Bins whose width are too small (i.e., <= 1e-8) in feature 3 are removed. Consider decreasing the number of bins. warnings.warn( sklearn/preprocessing/tests/test_discretization.py::test_kbinsdiscretizer_subsample_default sklearn/preprocessing/tests/test_discretization.py::test_kbinsdiscretizer_subsample_default /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/preprocessing/_discretization.py:397: 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_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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/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/python3.14/site-packages/numpy/_core/_methods.py:170: RuntimeWarning: overflow encountered in reduce arrmean = umr_sum(arr, axis, dtype, keepdims=True, where=where) sklearn/tests/test_calibration.py: 10 warnings /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/calibration.py:383: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/model_selection/_validation.py:1367: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/decomposition/_pca.py:584: RuntimeWarning: invalid value encountered in divide explained_variance_ = (S**2) / (n_samples - 1) sklearn/tests/test_common.py: 23 warnings /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/cluster/_bicluster.py:346: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/decomposition/_nmf.py:2314: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/kernel_approximation.py:1020: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/preprocessing/_data.py:2846: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/preprocessing/_data.py:2846: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.360e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.665e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.033e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.234e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.400e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.539e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.655e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.750e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.827e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.888e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.935e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.970e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.994e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.010e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.017e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.018e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.014e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.006e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.993e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.978e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.960e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.941e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.920e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.899e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.877e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.854e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.831e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.809e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.786e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.765e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.743e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.722e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.702e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.683e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.664e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.646e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.629e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.613e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.597e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.582e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.568e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.555e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.542e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.530e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.519e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.508e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.498e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.488e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.479e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.471e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.463e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.456e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.449e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.442e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.436e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.430e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.425e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.419e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.415e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_gram( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)] sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.410e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.406e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.402e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.398e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.395e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.392e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.389e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.386e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.383e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.381e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.379e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.377e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.375e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.373e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.371e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.369e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.368e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.366e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.365e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.364e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.363e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.362e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.361e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.360e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.359e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.358e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.357e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.356e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.242e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.824e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.152e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.256e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.317e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.349e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.358e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.348e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.323e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.286e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.239e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.185e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.125e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.062e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.996e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.928e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.860e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.792e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.724e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.658e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.593e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.469e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.353e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.299e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.247e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.197e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.150e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.105e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.062e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.022e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.984e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.948e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.914e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.881e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.851e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.823e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.796e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.770e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.747e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.724e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.703e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.684e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.648e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.632e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.617e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.602e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.589e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.577e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.565e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.554e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.544e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.534e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.526e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.517e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.509e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.502e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.495e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.489e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.483e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.477e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.472e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.467e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.463e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.459e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.455e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.451e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.448e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.444e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.441e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.439e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.436e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.434e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.431e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.429e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.427e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.425e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.424e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.422e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.421e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.419e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.418e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.417e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.416e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.415e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.360e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.665e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.033e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.234e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.400e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.539e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.655e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.750e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.827e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.888e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.935e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.970e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.994e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.010e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.017e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.018e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.014e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.006e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.993e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.978e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.960e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.941e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.920e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.899e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.877e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.854e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.831e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.809e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.786e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.765e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.743e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.722e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.702e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.683e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.664e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.646e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.629e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.613e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.597e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.582e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.568e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.555e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.542e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.530e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.519e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.508e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.498e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.488e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.479e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.471e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.463e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.456e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.449e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.442e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.436e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.430e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.425e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.419e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.415e-02, tolerance: 6.864e-03 model = cd_fast.enet_coordinate_descent_multi_task( sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)] sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)] /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.410e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.406e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.402e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.398e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.395e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.392e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.389e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.386e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.383e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.381e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.379e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.377e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.375e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.373e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.371e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.369e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.368e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.366e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.365e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.364e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.363e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.362e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.361e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.360e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.359e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.358e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.357e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.356e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.242e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.824e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.152e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.256e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.317e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.349e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.358e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.348e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.323e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.286e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.239e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.185e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.125e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.062e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.996e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.928e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.860e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.792e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.724e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.658e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.593e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.469e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.353e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.299e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.247e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.197e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.150e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.105e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.062e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.022e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.984e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.948e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.914e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.881e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.851e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.823e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.796e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.770e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.747e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.724e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.703e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.684e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.648e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.632e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.617e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.602e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.589e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.577e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.565e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.554e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.544e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.534e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.526e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.517e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.509e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.502e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.495e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.489e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.483e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.477e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.472e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.467e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.463e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.459e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.455e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.451e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.448e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.444e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.441e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.439e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.436e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.434e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.431e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.429e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.427e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.425e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.424e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.422e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.421e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.419e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.418e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.417e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.416e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.415e-02, tolerance: 6.864e-03 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/preprocessing/_data.py:2846: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_theil_sen.py:127: ConvergenceWarning: Maximum number of iterations 5 reached in spatial median for TheilSen regressor. warnings.warn( sklearn/tests/test_discriminant_analysis.py::test_qda_regularization /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/discriminant_analysis.py:1052: RuntimeWarning: invalid value encountered in dot X2 = np.dot(Xm, R * (S ** (-0.5))) sklearn/tests/test_discriminant_analysis.py::test_qda_regularization /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/semi_supervised/_self_training.py:287: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/model_selection/_validation.py:953: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/model_selection/_validation.py", line 942, in _score scores = scorer(estimator, X_test, y_test, **score_params) File "/builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/metrics/_scorer.py", line 308, in __call__ return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs) ~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/metrics/_scorer.py", line 399, in _score response_method = _check_response_method(estimator, self._response_method) File "/builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/validation.py", line 2286, 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/model_selection/_validation.py:953: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/model_selection/_validation.py", line 942, in _score scores = scorer(estimator, X_test, y_test, **score_params) File "/builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/metrics/_scorer.py", line 308, in __call__ return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs) ~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/metrics/_scorer.py", line 399, in _score response_method = _check_response_method(estimator, self._response_method) File "/builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/validation.py", line 2286, 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/tree/_classes.py:1093: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/_array_api.py:757: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/tree/tests/test_tree.py:1795: RuntimeWarning: overflow encountered in cast data = np.nan_to_num(data.astype("float32")) sklearn/tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[None] sklearn/tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[None] sklearn/tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[csc_matrix] sklearn/tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[csc_array] /usr/lib64/python3.14/site-packages/numpy/_core/fromnumeric.py:86: RuntimeWarning: invalid value encountered in reduce return ufunc.reduce(obj, axis, dtype, out, **passkwargs) sklearn/utils/tests/test_estimator_checks.py::test_check_estimator sklearn/utils/tests/test_estimator_checks.py::test_check_estimator /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/estimator_checks.py:877: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/estimator_checks.py:877: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/estimator_checks.py:877: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/estimator_checks.py:877: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/estimator_checks.py:877: 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 sklearn/utils/tests/test_estimator_checks.py::test_check_estimator sklearn/utils/tests/test_extmath.py::test_randomized_svd_sparse_warnings[dok_matrix] sklearn/utils/tests/test_extmath.py::test_randomized_svd_sparse_warnings[dok_array] /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/validation.py:1012: UserWarning: Can't check dok sparse matrix for nan or inf. array = _ensure_sparse_format( sklearn/utils/tests/test_estimator_checks.py::test_check_estimator /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/estimator_checks.py:877: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/estimator_checks.py:877: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/estimator_checks.py:877: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/estimator_checks.py:877: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/estimator_checks.py:877: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/estimator_checks.py:877: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/estimator_checks.py:877: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/estimator_checks.py:877: SkipTestWarning: Skipping check check_array_api_input for PCA because it raised SkipTest: SCIPY_ARRAY_API is not set: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/estimator_checks.py:877: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/estimator_checks.py:877: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/estimator_checks.py:877: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/estimator_checks.py:877: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/estimator_checks.py:877: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/estimator_checks.py:877: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/estimator_checks.py:877: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/estimator_checks.py:127: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/estimator_checks.py:127: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/estimator_checks.py:127: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/estimator_checks.py:127: 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-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/optimize.py:312: UserWarning: Line Search failed warnings.warn("Line Search failed") sklearn/utils/tests/test_parallel.py::test_filter_warning_propagates[loky-2] /usr/lib/python3.14/site-packages/joblib/externals/loky/backend/utils.py:63: UserWarning: Failed to kill subprocesses on this platform. Please installpsutil: https://github.com/giampaolo/psutil Details: Traceback (most recent call last): File "/usr/lib/python3.14/site-packages/joblib/externals/loky/backend/utils.py", line 60, in _kill_process_tree_without_psutil _posix_recursive_kill(process.pid) ~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^ File "/usr/lib/python3.14/site-packages/joblib/externals/loky/backend/utils.py", line 111, in _posix_recursive_kill children_pids = subprocess.check_output( ["pgrep", "-P", str(pid)], stderr=None, text=True ) File "/usr/lib64/python3.14/subprocess.py", line 472, in check_output return run(*popenargs, stdout=PIPE, timeout=timeout, check=True, ~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ **kwargs).stdout ^^^^^^^^^ File "/usr/lib64/python3.14/subprocess.py", line 554, in run with Popen(*popenargs, **kwargs) as process: ~~~~~^^^^^^^^^^^^^^^^^^^^^^ File "/usr/lib64/python3.14/subprocess.py", line 1038, in __init__ self._execute_child(args, executable, preexec_fn, close_fds, ~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ pass_fds, cwd, env, ^^^^^^^^^^^^^^^^^^^ ...<5 lines>... gid, gids, uid, umask, ^^^^^^^^^^^^^^^^^^^^^^ start_new_session, process_group) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/lib64/python3.14/subprocess.py", line 1970, in _execute_child raise child_exception_type(errno_num, err_msg, err_filename) FileNotFoundError: [Errno 2] No such file or directory: 'pgrep' warnings.warn( sklearn/utils/tests/test_parallel.py::test_filter_warning_propagates[loky-2] /usr/lib/python3.14/site-packages/_pytest/threadexception.py:82: PytestUnhandledThreadExceptionWarning: Exception in thread ExecutorManagerThread Traceback (most recent call last): File "/usr/lib/python3.14/site-packages/joblib/externals/loky/backend/utils.py", line 60, in _kill_process_tree_without_psutil _posix_recursive_kill(process.pid) ~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^ File "/usr/lib/python3.14/site-packages/joblib/externals/loky/backend/utils.py", line 111, in _posix_recursive_kill children_pids = subprocess.check_output( ["pgrep", "-P", str(pid)], stderr=None, text=True ) File "/usr/lib64/python3.14/subprocess.py", line 472, in check_output return run(*popenargs, stdout=PIPE, timeout=timeout, check=True, ~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ **kwargs).stdout ^^^^^^^^^ File "/usr/lib64/python3.14/subprocess.py", line 554, in run with Popen(*popenargs, **kwargs) as process: ~~~~~^^^^^^^^^^^^^^^^^^^^^^ File "/usr/lib64/python3.14/subprocess.py", line 1038, in __init__ self._execute_child(args, executable, preexec_fn, close_fds, ~~~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ pass_fds, cwd, env, ^^^^^^^^^^^^^^^^^^^ ...<5 lines>... gid, gids, uid, umask, ^^^^^^^^^^^^^^^^^^^^^^ start_new_session, process_group) ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/lib64/python3.14/subprocess.py", line 1970, in _execute_child raise child_exception_type(errno_num, err_msg, err_filename) FileNotFoundError: [Errno 2] No such file or directory: 'pgrep' During handling of the above exception, another exception occurred: Traceback (most recent call last): File "/usr/lib64/python3.14/threading.py", line 1081, in _bootstrap_inner self._context.run(self.run) ~~~~~~~~~~~~~~~~~^^^^^^^^^^ File "/usr/lib/python3.14/site-packages/joblib/externals/loky/process_executor.py", line 635, in run self.flag_executor_shutting_down() ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^ File "/usr/lib/python3.14/site-packages/joblib/externals/loky/process_executor.py", line 856, in flag_executor_shutting_down self.kill_workers(reason="executor shutting down") ~~~~~~~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/usr/lib/python3.14/site-packages/joblib/externals/loky/process_executor.py", line 866, in kill_workers kill_process_tree(p) ~~~~~~~~~~~~~~~~~^^^ File "/usr/lib/python3.14/site-packages/joblib/externals/loky/backend/utils.py", line 21, in kill_process_tree _kill_process_tree_without_psutil(process) ~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~^^^^^^^^^ File "/usr/lib/python3.14/site-packages/joblib/externals/loky/backend/utils.py", line 73, in _kill_process_tree_without_psutil process.kill() ~~~~~~~~~~~~^^ File "/usr/lib64/python3.14/multiprocessing/process.py", line 147, in kill self._popen.kill() ^^^^^^^^^^^^^^^^ AttributeError: 'Popen' object has no attribute 'kill' warnings.warn(pytest.PytestUnhandledThreadExceptionWarning(msg)) -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html = 32456 passed, 6334 skipped, 34 deselected, 149 xfailed, 63 xpassed, 3559 warnings in 1544.50s (0:25:44) = ~/build/BUILD/python-scikit-learn-1.7.1-build/scikit_learn-1.7.1 + popd + RPM_EC=0 ++ jobs -p + exit 0 Processing files: python3-scikit-learn-1.7.1-1.fc43.ppc64le Executing(%doc): /bin/sh -e /var/tmp/rpm-tmp.JYBWNX + umask 022 + cd /builddir/build/BUILD/python-scikit-learn-1.7.1-build + cd scikit_learn-1.7.1 + DOCDIR=/builddir/build/BUILD/python-scikit-learn-1.7.1-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-1.7.1-build/BUILDROOT/usr/share/doc/python3-scikit-learn + cp -pr /builddir/build/BUILD/python-scikit-learn-1.7.1-build/scikit_learn-1.7.1/examples /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/share/doc/python3-scikit-learn + RPM_EC=0 ++ jobs -p + exit 0 Executing(%license): /bin/sh -e /var/tmp/rpm-tmp.OOK18O + umask 022 + cd /builddir/build/BUILD/python-scikit-learn-1.7.1-build + cd scikit_learn-1.7.1 + LICENSEDIR=/builddir/build/BUILD/python-scikit-learn-1.7.1-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-1.7.1-build/BUILDROOT/usr/share/licenses/python3-scikit-learn + cp -pr /builddir/build/BUILD/python-scikit-learn-1.7.1-build/scikit_learn-1.7.1/COPYING /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/share/licenses/python3-scikit-learn + cp -pr /builddir/build/BUILD/python-scikit-learn-1.7.1-build/scikit_learn-1.7.1/sklearn/svm/src/liblinear/COPYRIGHT /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/share/licenses/python3-scikit-learn + RPM_EC=0 ++ jobs -p + exit 0 Provides: python-scikit-learn = 1.7.1-1.fc43 python-sklearn = 1.7.1-1.fc43 python3-scikit-learn = 1.7.1-1.fc43 python3-scikit-learn(ppc-64) = 1.7.1-1.fc43 python3.14-scikit-learn = 1.7.1-1.fc43 python3.14-sklearn = 1.7.1-1.fc43 python3.14dist(scikit-learn) = 1.7.1 python3dist(scikit-learn) = 1.7.1 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: /usr/bin/python3 libc.so.6()(64bit) libc.so.6(GLIBC_2.17)(64bit) libc.so.6(GLIBC_2.32)(64bit) libc.so.6(GLIBC_ABI_DT_RELR)(64bit) libgcc_s.so.1()(64bit) libgcc_s.so.1(GCC_3.0)(64bit) libgcc_s.so.1(GCC_3.3.1)(64bit) libgomp.so.1()(64bit) libgomp.so.1(GOMP_1.0)(64bit) libgomp.so.1(GOMP_4.0)(64bit) libgomp.so.1(OMP_1.0)(64bit) libgomp.so.1(OMP_3.0)(64bit) libm.so.6()(64bit) libm.so.6(GLIBC_2.17)(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_3.4.30)(64bit) python(abi) = 3.14 python3.14dist(joblib) >= 1.2 python3.14dist(numpy) >= 1.22 python3.14dist(scipy) >= 1.8 python3.14dist(threadpoolctl) >= 3.1 rtld(GNU_HASH) Obsoletes: python-sklearn < 1.7.1-1.fc43 python3-scikit_learn < 1.5.2-2 Processing files: python-scikit-learn-debugsource-1.7.1-1.fc43.ppc64le Provides: python-scikit-learn-debugsource = 1.7.1-1.fc43 python-scikit-learn-debugsource(ppc-64) = 1.7.1-1.fc43 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-1.7.1-1.fc43.ppc64le Provides: debuginfo(build-id) = 008b3edb1bcf46a7cb3154abc9fb0fe848f4fdab debuginfo(build-id) = 08a5221c55c73b448a8d3b48acaec437850a61ad debuginfo(build-id) = 0d736bf17dd81ef0176f9375318a4b37f2a85dc9 debuginfo(build-id) = 0dfb7a0c1801f71b2dc82a1a797a0ba29fbda963 debuginfo(build-id) = 10675b3d8ba2d5d372797f74d43bccca41c6cec0 debuginfo(build-id) = 125ec05e43aaf02dc02b2a583e2fcf1c4704fb0d debuginfo(build-id) = 15885a5820ca8ba3552c26184de4a438951a2bef debuginfo(build-id) = 18f86b4e65e3b10905519e2730eac7a1c4e90ab0 debuginfo(build-id) = 199eccdb160cd0789325809c6f1bba592c42b036 debuginfo(build-id) = 1e6d25c470843f76d8ddac33f97eaddc0f7df854 debuginfo(build-id) = 20aa87d0669b129cbe3eb5177efae53698fd6382 debuginfo(build-id) = 210a556fb1285f19f4cef943859477aaf1041f84 debuginfo(build-id) = 269def75a6128773a68995b89e8d9292f16ed0f2 debuginfo(build-id) = 26e4c1169afbc9aebf80239e481f3fa3888dc832 debuginfo(build-id) = 2d84d8d216940ec328195ad73be971b88806f875 debuginfo(build-id) = 2dc57bd970a5b5456e9da0776fffe16629ec68b6 debuginfo(build-id) = 34a91ee3fef4e84133fc055c07fbab834a5025ce debuginfo(build-id) = 366eb2b362e39069e35a88dc25ebeb902352ea68 debuginfo(build-id) = 3d11bed3d1d9a06d2d27b8fca310efafe7d9fc55 debuginfo(build-id) = 48a21358717c43ac9d1c8effcf6b1860400c7bd6 debuginfo(build-id) = 55033e08c131d879b4c10bfc8856056cc39c606d debuginfo(build-id) = 5f991bca3ae026959662f56e850eac4b157246af debuginfo(build-id) = 6328b05a2a9e4992bef7be0b5e1d3c2da458610e debuginfo(build-id) = 663f6239884d59de3c77d94026bc6c48ada1c89f debuginfo(build-id) = 665eaa6858794c857c07a641063870fd0b0bfad5 debuginfo(build-id) = 6776f04abe251f99be7831c7e666646881a7fd1f debuginfo(build-id) = 6a16cd842e8a032e8b1e85c58ce3df3207aa374b debuginfo(build-id) = 6af312115462662be729efac3925426d0c696aee debuginfo(build-id) = 704921432b18be790e7c5efd0a0f4378b749907a debuginfo(build-id) = 74aa0e476fb27ae2f540b4ff924bf28527aa8dcc debuginfo(build-id) = 76e4fc86990532473ab0c2a3703a94c26eb7684a debuginfo(build-id) = 79dccbf12a393814fd9cc88cc14324fe392816ec debuginfo(build-id) = 7bd3ccc2df132e502b078ef08bed5954322226a0 debuginfo(build-id) = 806be0f49750f951b9c0471621e7587ae66f4dd5 debuginfo(build-id) = 84f319326d2aa379b2564b7a2abddfc16b9a1718 debuginfo(build-id) = 878ccaf86db8fe7b54faf99159472fa59edd23a5 debuginfo(build-id) = 892e60b9f7d84873fddfb3051ee6311c8af8101b debuginfo(build-id) = 8ccceee49966354729760cd211ba4bfe9ac8867d debuginfo(build-id) = 8fbacc9e354957d56d0a4f1cf41991220bae1e32 debuginfo(build-id) = 928e043026fb9414b4bef4512eb6d2cae7582669 debuginfo(build-id) = 92c1003eeeebcb1dc3216588edddd18a2b76c0ef debuginfo(build-id) = 933ddd9facf10f546e8b27cc68984dd34323b41b debuginfo(build-id) = 9d9161d1a60a1a78bb6964b7d95ed2d4bdc3899d debuginfo(build-id) = 9e3d3ca83942101974497fd83ac5620f9bdf2790 debuginfo(build-id) = 9ec1de2b002cc50885e6bcbdba3991e0c4ed2c2b debuginfo(build-id) = a7642930e47e5d1c89e73bfdf99074caa5b8cd2f debuginfo(build-id) = abf5d9ae7fc9f9a628f808f9ed05aa2b21264def debuginfo(build-id) = add35f381de24c144a81df37c2caf54753d7ba0e debuginfo(build-id) = b38cb8d1fc2d41e3b84ef9569893f6036b02d067 debuginfo(build-id) = b544ee5ee24c66a0fad553b734865f4414a7af8b debuginfo(build-id) = bb8b514400c9f483830e8e28682632acdcb3d1ff debuginfo(build-id) = c0b83971467fd7e01d007c0efd2eba2890980d52 debuginfo(build-id) = c0d3fb14947d98c97ce3ae53df9f371cf55773cc debuginfo(build-id) = c2ecbd75c71aa309df05825230f9ec04ed98aa41 debuginfo(build-id) = cd01476fe2ac8913d9730e837e6e956990edea0d debuginfo(build-id) = d39a0609db6547c5f708327bd0478ae1b7cd4b5f debuginfo(build-id) = d84eff1ef7d17ec92fef7612a558642bada76995 debuginfo(build-id) = d8752274479ce2e456bfa8a1b8d98dcd9a96b8a4 debuginfo(build-id) = dac554eae9c02e0313ae9374732197274bd025b3 debuginfo(build-id) = db644998f460c90d9d497a06169bc437ec1eedc2 debuginfo(build-id) = dfda7c68f95acc4f77deef22e52923f610ab083e debuginfo(build-id) = e97efd9fc20cf1c56e2490d669bed496e238b609 debuginfo(build-id) = ea3d92270dae5811ee186303c65b8ae905810812 debuginfo(build-id) = f20baf7a4f4e24281e0a98045b375d2e4c0c24f6 debuginfo(build-id) = f47615f68633f42ef336aed8d60212c0b0b2d2f9 debuginfo(build-id) = f77ea60767676e9c4aa88b131c540192702a2acb debuginfo(build-id) = f9fc6c78f4a06f57fdc13b4691f95d915431c627 debuginfo(build-id) = fd75e3faabdc7358515137cc72931b1ed24f3359 python-scikit-learn-debuginfo = 1.7.1-1.fc43 python3-scikit-learn-debuginfo = 1.7.1-1.fc43 python3-scikit-learn-debuginfo(ppc-64) = 1.7.1-1.fc43 python3.14-scikit-learn-debuginfo = 1.7.1-1.fc43 Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Recommends: python-scikit-learn-debugsource(ppc-64) = 1.7.1-1.fc43 Checking for unpackaged file(s): /usr/lib/rpm/check-files /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT Wrote: /builddir/build/SRPMS/python-scikit-learn-1.7.1-1.fc43.src.rpm Wrote: /builddir/build/RPMS/python-scikit-learn-debugsource-1.7.1-1.fc43.ppc64le.rpm Wrote: /builddir/build/RPMS/python3-scikit-learn-1.7.1-1.fc43.ppc64le.rpm Wrote: /builddir/build/RPMS/python3-scikit-learn-debuginfo-1.7.1-1.fc43.ppc64le.rpm Finish: rpmbuild python-scikit-learn-1.7.1-1.fc43.src.rpm Finish: build phase for python-scikit-learn-1.7.1-1.fc43.src.rpm INFO: chroot_scan: 1 files copied to /var/lib/copr-rpmbuild/results/chroot_scan INFO: /var/lib/mock/fedora-41-ppc64le-1753924428.576737/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-1.7.1-1.fc43.src.rpm) Config(child) 43 minutes 5 seconds INFO: Results and/or logs in: /var/lib/copr-rpmbuild/results INFO: Cleaning up build root ('cleanup_on_success=True') Start: clean chroot INFO: unmounting tmpfs. Finish: clean chroot Finish: run Running RPMResults tool Package info: { "packages": [ { "name": "python3-scikit-learn", "epoch": null, "version": "1.7.1", "release": "1.fc43", "arch": "ppc64le" }, { "name": "python-scikit-learn-debugsource", "epoch": null, "version": "1.7.1", "release": "1.fc43", "arch": "ppc64le" }, { "name": "python3-scikit-learn-debuginfo", "epoch": null, "version": "1.7.1", "release": "1.fc43", "arch": "ppc64le" }, { "name": "python-scikit-learn", "epoch": null, "version": "1.7.1", "release": "1.fc43", "arch": "src" } ] } RPMResults finished