Warning: Permanently added '163.107.90.249' (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/9382776-fedora-rawhide-s390x --chroot fedora-rawhide-s390x Version: 1.3 PID: 2484 Logging PID: 2485 Task: {'allow_user_ssh': False, 'appstream': False, 'background': True, 'build_id': 9382776, 'buildroot_pkgs': [], 'chroot': 'fedora-rawhide-s390x', 'enable_net': False, 'fedora_review': False, 'git_hash': '2850bd109c58ad11719bbc3e54758249c4710342', 'git_repo': 'https://copr-dist-git.fedorainfracloud.org/git/psimovec/scipy-1.10.0/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', '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-rawhide-s390x/', 'id': 'copr_base', 'name': 'Copr repository', 'priority': None}, {'baseurl': 'http://kojipkgs.fedoraproject.org/repos/rawhide/latest/$basearch/', 'id': 'http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch', 'name': 'Additional repo http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch'}], 'sandbox': 'psimovec/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': '9382776-fedora-rawhide-s390x', '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/python-scikit-learn /var/lib/copr-rpmbuild/workspace/workdir-ecyc8cxq/python-scikit-learn --depth 500 --no-single-branch --recursive cmd: ['git', 'clone', 'https://copr-dist-git.fedorainfracloud.org/git/psimovec/scipy-1.10.0/python-scikit-learn', '/var/lib/copr-rpmbuild/workspace/workdir-ecyc8cxq/python-scikit-learn', '--depth', '500', '--no-single-branch', '--recursive'] cwd: . rc: 0 stdout: stderr: Cloning into '/var/lib/copr-rpmbuild/workspace/workdir-ecyc8cxq/python-scikit-learn'... Running: git checkout 2850bd109c58ad11719bbc3e54758249c4710342 -- cmd: ['git', 'checkout', '2850bd109c58ad11719bbc3e54758249c4710342', '--'] cwd: /var/lib/copr-rpmbuild/workspace/workdir-ecyc8cxq/python-scikit-learn rc: 0 stdout: stderr: Note: switching to '2850bd109c58ad11719bbc3e54758249c4710342'. 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 2850bd1 automatic import of python-scikit-learn Running: dist-git-client sources tail: /var/lib/copr-rpmbuild/main.log: file truncated cmd: ['dist-git-client', 'sources'] cwd: /var/lib/copr-rpmbuild/workspace/workdir-ecyc8cxq/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/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 Dload Upload Total Spent Left Speed 100 7021k 100 7021k 0 0 5018k 0 0:00:01 0:00:01 --:--:-- 5019k 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-ecyc8cxq/python-scikit-learn/python-scikit-learn.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-ecyc8cxq/python-scikit-learn --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1754577530.600594 -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-ecyc8cxq/python-scikit-learn/python-scikit-learn.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-ecyc8cxq/python-scikit-learn --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1754577530.600594 -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-ecyc8cxq/python-scikit-learn/python-scikit-learn.spec) Config(fedora-rawhide-s390x) 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-rawhide-s390x-bootstrap-1754577530.600594/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:rawhide INFO: Pulling image: registry.fedoraproject.org/fedora:rawhide INFO: Tagging container image as mock-bootstrap-14cd18fe-554a-4fd1-aa46-95575ba05654 INFO: Checking that e1a1f1621d0c4d0dbe97690e9ab0a3985b608395811c3040a9040ad0cab4d526 image matches host's architecture INFO: Copy content of container e1a1f1621d0c4d0dbe97690e9ab0a3985b608395811c3040a9040ad0cab4d526 to /var/lib/mock/fedora-rawhide-s390x-bootstrap-1754577530.600594/root INFO: mounting e1a1f1621d0c4d0dbe97690e9ab0a3985b608395811c3040a9040ad0cab4d526 with podman image mount INFO: image e1a1f1621d0c4d0dbe97690e9ab0a3985b608395811c3040a9040ad0cab4d526 as /var/lib/containers/storage/overlay/6f2aa732fb546d4b39c261896014987ad9236c720ecdb91c5b0bad057014493c/merged INFO: umounting image e1a1f1621d0c4d0dbe97690e9ab0a3985b608395811c3040a9040ad0cab4d526 (/var/lib/containers/storage/overlay/6f2aa732fb546d4b39c261896014987ad9236c720ecdb91c5b0bad057014493c/merged) with podman image umount INFO: Removing image mock-bootstrap-14cd18fe-554a-4fd1-aa46-95575ba05654 INFO: Package manager dnf5 detected and used (fallback) INFO: Not updating bootstrap chroot, bootstrap_image_ready=True Start(bootstrap): creating root cache Finish(bootstrap): creating root cache Finish(bootstrap): chroot init Start: chroot init INFO: mounting tmpfs at /var/lib/mock/fedora-rawhide-s390x-1754577530.600594/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-5.99.91-2.fc43.s390x rpm-sequoia-1.9.0-2.fc43.s390x dnf5-5.2.15.0-3.fc43.s390x dnf5-plugins-5.2.15.0-3.fc43.s390x Start: installing minimal buildroot with dnf5 Updating and loading repositories: Copr repository 100% | 192.5 KiB/s | 358.4 KiB | 00m02s Additional repo http_kojipkgs_fedorapr 100% | 3.4 MiB/s | 13.9 MiB | 00m04s fedora 100% | 3.5 MiB/s | 19.9 MiB | 00m06s Repositories loaded. Package Arch Version Repository Size Installing group/module packages: bash s390x 5.3.0-2.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 8.6 MiB bzip2 s390x 1.0.8-21.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 86.9 KiB coreutils s390x 9.7-5.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 5.7 MiB cpio s390x 2.15-6.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.1 MiB diffutils s390x 3.12-3.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.6 MiB fedora-release-common noarch 43-0.19 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 20.4 KiB findutils s390x 1:4.10.0-6.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.9 MiB gawk s390x 5.3.2-2.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.9 MiB glibc-minimal-langpack s390x 2.42-2.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 0.0 B grep s390x 3.12-2.fc43 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http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 3.4 MiB which s390x 2.23-3.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 83.2 KiB xz s390x 1:5.8.1-2.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.3 MiB Installing dependencies: add-determinism s390x 0.6.0-2.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 2.7 MiB alternatives s390x 1.33-2.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 62.0 KiB ansible-srpm-macros noarch 1-18.1.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 35.7 KiB audit-libs s390x 4.1.1-1.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 398.1 KiB binutils s390x 2.45-1.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 28.0 MiB build-reproducibility-srpm-macros noarch 0.6.0-2.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 735.0 B bzip2-libs s390x 1.0.8-21.fc43 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40.1 KiB elfutils s390x 0.193-3.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 3.0 MiB elfutils-debuginfod-client s390x 0.193-3.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 75.5 KiB elfutils-default-yama-scope noarch 0.193-3.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.8 KiB elfutils-libelf s390x 0.193-3.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.2 MiB elfutils-libs s390x 0.193-3.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 774.2 KiB fedora-gpg-keys noarch 43-0.2 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 129.0 KiB fedora-release noarch 43-0.19 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 0.0 B fedora-release-identity-basic noarch 43-0.19 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 664.0 B fedora-repos noarch 43-0.2 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 s390x 5.46-6.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 100.0 KiB file-libs s390x 5.46-6.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 11.9 MiB filesystem s390x 3.18-50.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 112.0 B filesystem-srpm-macros noarch 3.18-50.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 s390x 16.3-4.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 15.2 MiB gdbm-libs s390x 1:1.23-10.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 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3.9-2.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 208.9 KiB libsemanage s390x 3.9-2.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 312.0 KiB libsepol s390x 3.9-2.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 853.6 KiB libsmartcols s390x 2.41.1-15.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 192.2 KiB libssh s390x 0.11.2-2.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 582.4 KiB libssh-config noarch 0.11.2-2.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 277.0 B libstdc++ s390x 15.1.1-5.fc43.1 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 3.2 MiB libtasn1 s390x 4.20.0-2.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 188.1 KiB libtool-ltdl s390x 2.5.4-7.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 69.7 KiB libunistring s390x 1.1-10.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.8 MiB libusb1 s390x 1.0.29-2.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 170.6 KiB libuuid s390x 2.41.1-15.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 33.1 KiB libverto s390x 0.3.2-11.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 25.1 KiB libxcrypt s390x 4.4.38-8.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 288.2 KiB libxml2 s390x 2.12.10-3.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.9 MiB libzstd s390x 1.5.7-2.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 875.5 KiB lua-libs s390x 5.4.8-2.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 316.8 KiB lua-srpm-macros noarch 1-16.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.3 KiB lz4-libs s390x 1.10.0-3.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 201.2 KiB mpfr s390x 4.2.2-2.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 699.5 KiB ncurses-base noarch 6.5-7.20250614.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 328.1 KiB ncurses-libs s390x 6.5-7.20250614.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.0 MiB nettle s390x 3.10.1-2.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 829.7 KiB npth s390x 1.8-3.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 45.2 KiB ocaml-srpm-macros noarch 11-2.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.9 KiB openblas-srpm-macros noarch 2-20.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 112.0 B openldap s390x 2.6.10-3.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 669.3 KiB openssl-libs s390x 1:3.5.1-2.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 7.3 MiB p11-kit s390x 0.25.5-9.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 2.5 MiB p11-kit-trust s390x 0.25.5-9.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 462.9 KiB package-notes-srpm-macros noarch 0.5-14.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.6 KiB pam-libs s390x 1.7.1-3.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 122.1 KiB pcre2 s390x 10.45-1.fc43.1 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 717.0 KiB pcre2-syntax noarch 10.45-1.fc43.1 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 273.9 KiB perl-srpm-macros noarch 1-60.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 861.0 B pkgconf s390x 2.3.0-3.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 88.2 KiB pkgconf-m4 noarch 2.3.0-3.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 14.4 KiB pkgconf-pkg-config s390x 2.3.0-3.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 988.0 B popt s390x 1.19-9.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 140.5 KiB publicsuffix-list-dafsa noarch 20250616-2.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 69.1 KiB pyproject-srpm-macros noarch 1.18.3-2.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.9 KiB python-srpm-macros noarch 3.14-4.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 51.5 KiB qt5-srpm-macros noarch 5.15.17-2.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 500.0 B qt6-srpm-macros noarch 6.9.1-2.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 464.0 B readline s390x 8.3-2.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 575.3 KiB rpm s390x 5.99.91-3.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 3.0 MiB rpm-build-libs s390x 5.99.91-3.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 275.9 KiB rpm-libs s390x 5.99.91-3.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.0 MiB rpm-sequoia s390x 1.9.0-2.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 2.6 MiB rpm-sign-libs s390x 5.99.91-3.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 35.5 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 s390x 3.50.2-2.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.7 MiB systemd-libs s390x 257.7-1.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 2.3 MiB systemd-standalone-sysusers s390x 257.7-1.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 281.2 KiB tpm2-tss s390x 4.1.3-8.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.6 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 s390x 2.41.1-15.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.4 MiB xxhash-libs s390x 0.8.3-3.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 65.7 KiB xz-libs s390x 1:5.8.1-2.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 221.3 KiB zig-srpm-macros noarch 1-5.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.1 KiB zip s390x 3.0-44.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 729.6 KiB zlib-ng-compat s390x 2.2.4-3.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 109.1 KiB zstd s390x 1.5.7-2.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.8 MiB Installing groups: Buildsystem building group Transaction Summary: Installing: 169 packages Total size of inbound packages is 59 MiB. Need to download 59 MiB. After this operation, 201 MiB extra will be used (install 201 MiB, remove 0 B). [ 1/169] bzip2-0:1.0.8-21.fc43.s390x 100% | 52.2 KiB/s | 52.4 KiB | 00m01s [ 2/169] coreutils-0:9.7-5.fc43.s390x 100% | 801.3 KiB/s | 1.2 MiB | 00m02s [ 3/169] cpio-0:2.15-6.fc43.s390x 100% | 512.3 KiB/s | 290.5 KiB | 00m01s [ 4/169] bash-0:5.3.0-2.fc43.s390x 100% | 1.1 MiB/s | 1.9 MiB | 00m02s [ 5/169] fedora-release-common-0:43-0. 100% | 88.3 KiB/s | 25.4 KiB | 00m00s [ 6/169] diffutils-0:3.12-3.fc43.s390x 100% | 915.7 KiB/s | 395.6 KiB | 00m00s [ 7/169] findutils-1:4.10.0-6.fc43.s39 100% | 1.9 MiB/s | 546.8 KiB | 00m00s [ 8/169] gawk-0:5.3.2-2.fc43.s390x 100% | 4.0 MiB/s | 1.1 MiB | 00m00s [ 9/169] glibc-minimal-langpack-0:2.42 100% | 128.3 KiB/s | 37.0 KiB | 00m00s [ 10/169] grep-0:3.12-2.fc43.s390x 100% | 1.0 MiB/s | 294.1 KiB | 00m00s [ 11/169] gzip-0:1.13-4.fc43.s390x 100% | 597.4 KiB/s | 170.9 KiB | 00m00s [ 12/169] info-0:7.2-6.fc43.s390x 100% | 665.1 KiB/s | 192.9 KiB | 00m00s [ 13/169] patch-0:2.8-2.fc43.s390x 100% | 420.7 KiB/s | 119.5 KiB | 00m00s [ 14/169] redhat-rpm-config-0:343-10.fc 100% | 257.4 KiB/s | 73.1 KiB | 00m00s [ 15/169] rpm-build-0:5.99.91-3.fc43.s3 100% | 453.6 KiB/s | 131.1 KiB | 00m00s [ 16/169] sed-0:4.9-5.fc43.s390x 100% | 1.1 MiB/s | 310.7 KiB | 00m00s [ 17/169] shadow-utils-2:4.18.0-3.fc43. 100% | 4.3 MiB/s | 1.2 MiB | 00m00s [ 18/169] unzip-0:6.0-67.fc43.s390x 100% | 676.1 KiB/s | 192.7 KiB | 00m00s [ 19/169] tar-2:1.35-6.fc43.s390x 100% | 2.0 MiB/s | 865.4 KiB | 00m00s [ 20/169] util-linux-0:2.41.1-15.fc43.s 100% | 3.9 MiB/s | 1.1 MiB | 00m00s [ 21/169] which-0:2.23-3.fc43.s390x 100% | 149.8 KiB/s | 43.0 KiB | 00m00s [ 22/169] xz-1:5.8.1-2.fc43.s390x 100% | 1.9 MiB/s | 558.9 KiB | 00m00s [ 23/169] rpm-0:5.99.91-3.fc43.s390x 100% | 1.8 MiB/s | 533.1 KiB | 00m00s [ 24/169] rpm-libs-0:5.99.91-3.fc43.s39 100% | 1.4 MiB/s | 407.9 KiB | 00m00s [ 25/169] rpm-build-libs-0:5.99.91-3.fc 100% | 448.9 KiB/s | 129.3 KiB | 00m00s [ 26/169] rpm-sign-libs-0:5.99.91-3.fc4 100% | 94.5 KiB/s | 27.7 KiB | 00m00s [ 27/169] xz-libs-1:5.8.1-2.fc43.s390x 100% | 413.8 KiB/s | 117.9 KiB | 00m00s [ 28/169] glibc-0:2.42-2.fc43.s390x 100% | 4.2 MiB/s | 1.8 MiB | 00m00s [ 29/169] audit-libs-0:4.1.1-1.fc43.s39 100% | 337.0 KiB/s | 140.9 KiB | 00m00s [ 30/169] filesystem-0:3.18-50.fc43.s39 100% | 4.5 MiB/s | 1.3 MiB | 00m00s [ 31/169] libblkid-0:2.41.1-15.fc43.s39 100% | 444.5 KiB/s | 127.6 KiB | 00m00s [ 32/169] libcap-ng-0:0.8.5-6.fc43.s390 100% | 114.8 KiB/s | 32.6 KiB | 00m00s [ 33/169] libfdisk-0:2.41.1-15.fc43.s39 100% | 571.2 KiB/s | 164.5 KiB | 00m00s [ 34/169] libgcc-0:15.1.1-5.fc43.1.s390 100% | 312.7 KiB/s | 88.8 KiB | 00m00s [ 35/169] liblastlog2-0:2.41.1-15.fc43. 100% | 79.0 KiB/s | 22.4 KiB | 00m00s [ 36/169] libmount-0:2.41.1-15.fc43.s39 100% | 568.7 KiB/s | 163.2 KiB | 00m00s [ 37/169] libselinux-0:3.9-2.fc43.s390x 100% | 355.5 KiB/s | 100.6 KiB | 00m00s [ 38/169] libsmartcols-0:2.41.1-15.fc43 100% | 298.6 KiB/s | 84.8 KiB | 00m00s [ 39/169] libuuid-0:2.41.1-15.fc43.s390 100% | 91.7 KiB/s | 26.3 KiB | 00m00s [ 40/169] ncurses-libs-0:6.5-7.20250614 100% | 857.2 KiB/s | 360.0 KiB | 00m00s [ 41/169] pam-libs-0:1.7.1-3.fc43.s390x 100% | 205.7 KiB/s | 58.4 KiB | 00m00s [ 42/169] readline-0:8.3-2.fc43.s390x 100% | 838.8 KiB/s | 241.6 KiB | 00m00s [ 43/169] systemd-libs-0:257.7-1.fc43.s 100% | 2.7 MiB/s | 793.0 KiB | 00m00s [ 44/169] util-linux-core-0:2.41.1-15.f 100% | 1.8 MiB/s | 541.5 KiB | 00m00s [ 45/169] zlib-ng-compat-0:2.2.4-3.fc43 100% | 240.8 KiB/s | 66.9 KiB | 00m00s [ 46/169] bzip2-libs-0:1.0.8-21.fc43.s3 100% | 167.6 KiB/s | 47.6 KiB | 00m00s [ 47/169] libacl-0:2.3.2-4.fc43.s390x 100% | 86.9 KiB/s | 24.9 KiB | 00m00s [ 48/169] libcap-0:2.76-2.fc43.s390x 100% | 318.6 KiB/s | 90.2 KiB | 00m00s [ 49/169] libeconf-0:0.7.9-2.fc43.s390x 100% | 128.7 KiB/s | 36.5 KiB | 00m00s [ 50/169] libsemanage-0:3.9-2.fc43.s390 100% | 425.4 KiB/s | 122.5 KiB | 00m00s [ 51/169] libxcrypt-0:4.4.38-8.fc43.s39 100% | 466.3 KiB/s | 132.0 KiB | 00m00s [ 52/169] setup-0:2.15.0-26.fc43.noarch 100% | 534.3 KiB/s | 151.2 KiB | 00m00s [ 53/169] gnupg2-0:2.4.8-4.fc43.s390x 100% | 5.6 MiB/s | 1.6 MiB | 00m00s [ 54/169] ima-evm-utils-libs-0:1.6.2-6. 100% | 102.9 KiB/s | 29.0 KiB | 00m00s [ 55/169] libfsverity-0:1.6-3.fc43.s390 100% | 64.0 KiB/s | 18.2 KiB | 00m00s [ 56/169] libstdc++-0:15.1.1-5.fc43.1.s 100% | 3.4 MiB/s | 1.0 MiB | 00m00s [ 57/169] popt-0:1.19-9.fc43.s390x 100% | 217.7 KiB/s | 61.4 KiB | 00m00s [ 58/169] libzstd-0:1.5.7-2.fc43.s390x 100% | 1.2 MiB/s | 348.6 KiB | 00m00s [ 59/169] lua-libs-0:5.4.8-2.fc43.s390x 100% | 492.3 KiB/s | 141.3 KiB | 00m00s [ 60/169] sqlite-libs-0:3.50.2-2.fc43.s 100% | 2.7 MiB/s | 807.8 KiB | 00m00s [ 61/169] elfutils-libelf-0:0.193-3.fc4 100% | 739.2 KiB/s | 212.9 KiB | 00m00s [ 62/169] rpm-sequoia-0:1.9.0-2.fc43.s3 100% | 1.7 MiB/s | 947.3 KiB | 00m01s [ 63/169] elfutils-libs-0:0.193-3.fc43. 100% | 1.0 MiB/s | 289.5 KiB | 00m00s [ 64/169] file-libs-0:5.46-6.fc43.s390x 100% | 2.9 MiB/s | 854.3 KiB | 00m00s [ 65/169] libgomp-0:15.1.1-5.fc43.1.s39 100% | 1.3 MiB/s | 370.2 KiB | 00m00s [ 66/169] debugedit-0:5.2-2.fc43.s390x 100% | 284.0 KiB/s | 83.8 KiB | 00m00s [ 67/169] elfutils-0:0.193-3.fc43.s390x 100% | 2.0 MiB/s | 587.7 KiB | 00m00s [ 68/169] binutils-0:2.45-1.fc43.s390x 100% | 10.6 MiB/s | 6.1 MiB | 00m01s [ 69/169] file-0:5.46-6.fc43.s390x 100% | 173.1 KiB/s | 49.0 KiB | 00m00s [ 70/169] libarchive-0:3.8.1-3.fc43.s39 100% | 1.6 MiB/s | 452.6 KiB | 00m00s [ 71/169] pkgconf-pkg-config-0:2.3.0-3. 100% | 33.5 KiB/s | 9.5 KiB | 00m00s [ 72/169] zstd-0:1.5.7-2.fc43.s390x 100% | 1.8 MiB/s | 521.1 KiB | 00m00s [ 73/169] curl-0:8.15.0-2.fc43.s390x 100% | 837.5 KiB/s | 237.0 KiB | 00m00s [ 74/169] gpgverify-0:2.2-3.fc43.noarch 100% | 39.1 KiB/s | 11.1 KiB | 00m00s [ 75/169] glibc-gconv-extra-0:2.42-2.fc 100% | 5.3 MiB/s | 1.6 MiB | 00m00s [ 76/169] ansible-srpm-macros-0:1-18.1. 100% | 70.8 KiB/s | 19.9 KiB | 00m00s [ 77/169] build-reproducibility-srpm-ma 100% | 41.9 KiB/s | 11.8 KiB | 00m00s [ 78/169] dwz-0:0.16-2.fc43.s390x 100% | 500.8 KiB/s | 144.2 KiB | 00m00s [ 79/169] efi-srpm-macros-0:6-4.fc43.no 100% | 78.6 KiB/s | 22.4 KiB | 00m00s [ 80/169] filesystem-srpm-macros-0:3.18 100% | 93.0 KiB/s | 26.4 KiB | 00m00s [ 81/169] fonts-srpm-macros-1:2.0.5-23. 100% | 95.0 KiB/s | 27.2 KiB | 00m00s [ 82/169] forge-srpm-macros-0:0.4.0-3.f 100% | 71.5 KiB/s | 20.1 KiB | 00m00s [ 83/169] fpc-srpm-macros-0:1.3-15.fc43 100% | 28.0 KiB/s | 7.9 KiB | 00m00s [ 84/169] ghc-srpm-macros-0:1.9.2-3.fc4 100% | 30.5 KiB/s | 8.7 KiB | 00m00s [ 85/169] gnat-srpm-macros-0:6-8.fc43.n 100% | 30.2 KiB/s | 8.5 KiB | 00m00s [ 86/169] go-srpm-macros-0:3.7.0-4.fc43 100% | 99.4 KiB/s | 28.1 KiB | 00m00s [ 87/169] java-srpm-macros-0:1-7.fc43.n 100% | 28.2 KiB/s | 7.9 KiB | 00m00s [ 88/169] kernel-srpm-macros-0:1.0-27.f 100% | 31.7 KiB/s | 8.9 KiB | 00m00s [ 89/169] lua-srpm-macros-0:1-16.fc43.n 100% | 30.9 KiB/s | 8.8 KiB | 00m00s [ 90/169] ocaml-srpm-macros-0:11-2.fc43 100% | 33.0 KiB/s | 9.3 KiB | 00m00s [ 91/169] openblas-srpm-macros-0:2-20.f 100% | 27.0 KiB/s | 7.6 KiB | 00m00s [ 92/169] package-notes-srpm-macros-0:0 100% | 31.8 KiB/s | 9.0 KiB | 00m00s [ 93/169] perl-srpm-macros-0:1-60.fc43. 100% | 29.5 KiB/s | 8.3 KiB | 00m00s [ 94/169] pyproject-srpm-macros-0:1.18. 100% | 47.6 KiB/s | 13.4 KiB | 00m00s [ 95/169] python-srpm-macros-0:3.14-4.f 100% | 82.2 KiB/s | 23.3 KiB | 00m00s [ 96/169] qt5-srpm-macros-0:5.15.17-2.f 100% | 30.8 KiB/s | 8.7 KiB | 00m00s [ 97/169] qt6-srpm-macros-0:6.9.1-2.fc4 100% | 33.3 KiB/s | 9.3 KiB | 00m00s [ 98/169] rust-srpm-macros-0:26.3-5.fc4 100% | 39.7 KiB/s | 11.2 KiB | 00m00s [ 99/169] tree-sitter-srpm-macros-0:0.4 100% | 47.5 KiB/s | 13.4 KiB | 00m00s [100/169] zig-srpm-macros-0:1-5.fc43.no 100% | 30.1 KiB/s | 8.4 KiB | 00m00s [101/169] zip-0:3.0-44.fc43.s390x 100% | 977.6 KiB/s | 279.6 KiB | 00m00s [102/169] pkgconf-0:2.3.0-3.fc43.s390x 100% | 159.9 KiB/s | 45.3 KiB | 00m00s [103/169] pkgconf-m4-0:2.3.0-3.fc43.noa 100% | 49.5 KiB/s | 13.9 KiB | 00m00s [104/169] libpkgconf-0:2.3.0-3.fc43.s39 100% | 134.6 KiB/s | 38.2 KiB | 00m00s [105/169] ed-0:1.22-2.fc43.s390x 100% | 298.5 KiB/s | 84.8 KiB | 00m00s [106/169] libattr-0:2.5.2-6.fc43.s390x 100% | 62.4 KiB/s | 18.1 KiB | 00m00s [107/169] ncurses-base-0:6.5-7.20250614 100% | 224.2 KiB/s | 63.7 KiB | 00m00s [108/169] libsepol-0:3.9-2.fc43.s390x 100% | 1.2 MiB/s | 348.5 KiB | 00m00s [109/169] pcre2-0:10.45-1.fc43.1.s390x 100% | 960.5 KiB/s | 278.6 KiB | 00m00s [110/169] openssl-libs-1:3.5.1-2.fc43.s 100% | 8.0 MiB/s | 2.3 MiB | 00m00s [111/169] libxml2-0:2.12.10-3.fc43.s390 100% | 2.4 MiB/s | 703.7 KiB | 00m00s [112/169] lz4-libs-0:1.10.0-3.fc43.s390 100% | 340.0 KiB/s | 95.9 KiB | 00m00s [113/169] tpm2-tss-0:4.1.3-8.fc43.s390x 100% | 1.4 MiB/s | 421.8 KiB | 00m00s [114/169] gnupg2-verify-0:2.4.8-4.fc43. 100% | 618.3 KiB/s | 175.0 KiB | 00m00s [115/169] libassuan-0:2.5.7-4.fc43.s390 100% | 238.0 KiB/s | 67.1 KiB | 00m00s [116/169] libgcrypt-0:1.11.1-2.fc43.s39 100% | 1.9 MiB/s | 565.2 KiB | 00m00s [117/169] libgpg-error-0:1.55-2.fc43.s3 100% | 857.1 KiB/s | 242.6 KiB | 00m00s [118/169] npth-0:1.8-3.fc43.s390x 100% | 87.9 KiB/s | 24.8 KiB | 00m00s [119/169] gnupg2-dirmngr-0:2.4.8-4.fc43 100% | 1.0 MiB/s | 288.0 KiB | 00m00s [120/169] gnupg2-gpg-agent-0:2.4.8-4.fc 100% | 1.0 MiB/s | 285.2 KiB | 00m00s [121/169] gnupg2-gpgconf-0:2.4.8-4.fc43 100% | 431.0 KiB/s | 122.0 KiB | 00m00s [122/169] gnupg2-keyboxd-0:2.4.8-4.fc43 100% | 343.6 KiB/s | 97.9 KiB | 00m00s [123/169] glibc-common-0:2.42-2.fc43.s3 100% | 1.2 MiB/s | 336.7 KiB | 00m00s [124/169] gmp-1:6.3.0-4.fc43.s390x 100% | 1.1 MiB/s | 329.3 KiB | 00m00s [125/169] mpfr-0:4.2.2-2.fc43.s390x 100% | 1.0 MiB/s | 300.1 KiB | 00m00s [126/169] fedora-repos-0:43-0.2.noarch 100% | 32.8 KiB/s | 9.2 KiB | 00m00s [127/169] elfutils-default-yama-scope-0 100% | 44.1 KiB/s | 12.4 KiB | 00m00s [128/169] elfutils-debuginfod-client-0: 100% | 166.5 KiB/s | 47.3 KiB | 00m00s [129/169] coreutils-common-0:9.7-5.fc43 100% | 7.1 MiB/s | 2.1 MiB | 00m00s [130/169] add-determinism-0:0.6.0-2.fc4 100% | 3.3 MiB/s | 972.0 KiB | 00m00s [131/169] alternatives-0:1.33-2.fc43.s3 100% | 145.8 KiB/s | 41.4 KiB | 00m00s [132/169] jansson-0:2.14-3.fc43.s390x 100% | 158.1 KiB/s | 45.0 KiB | 00m00s [133/169] json-c-0:0.18-7.fc43.s390x 100% | 158.0 KiB/s | 44.6 KiB | 00m00s [134/169] libusb1-0:1.0.29-2.fc43.s390x 100% | 269.9 KiB/s | 77.2 KiB | 00m00s [135/169] pcre2-syntax-0:10.45-1.fc43.1 100% | 575.5 KiB/s | 161.7 KiB | 00m00s [136/169] ca-certificates-0:2024.2.69_v 100% | 3.2 MiB/s | 944.0 KiB | 00m00s [137/169] crypto-policies-0:20250714-3. 100% | 264.3 KiB/s | 74.8 KiB | 00m00s [138/169] libksba-0:1.6.7-4.fc43.s390x 100% | 574.5 KiB/s | 162.6 KiB | 00m00s [139/169] gnutls-0:3.8.10-3.fc43.s390x 100% | 4.5 MiB/s | 1.3 MiB | 00m00s [140/169] openldap-0:2.6.10-3.fc43.s390 100% | 919.0 KiB/s | 261.9 KiB | 00m00s [141/169] fedora-gpg-keys-0:43-0.2.noar 100% | 447.8 KiB/s | 125.8 KiB | 00m00s [142/169] fedora-repos-rawhide-0:43-0.2 100% | 31.3 KiB/s | 8.8 KiB | 00m00s [143/169] libffi-0:3.5.1-2.fc43.s390x 100% | 136.2 KiB/s | 38.7 KiB | 00m00s [144/169] p11-kit-0:0.25.5-9.fc43.s390x 100% | 1.8 MiB/s | 516.0 KiB | 00m00s [145/169] p11-kit-trust-0:0.25.5-9.fc43 100% | 502.8 KiB/s | 141.8 KiB | 00m00s [146/169] libtasn1-0:4.20.0-2.fc43.s390 100% | 275.6 KiB/s | 78.0 KiB | 00m00s [147/169] cyrus-sasl-lib-0:2.1.28-33.fc 100% | 2.8 MiB/s | 817.3 KiB | 00m00s [148/169] libevent-0:2.1.12-16.fc43.s39 100% | 915.2 KiB/s | 259.9 KiB | 00m00s [149/169] libtool-ltdl-0:2.5.4-7.fc43.s 100% | 128.6 KiB/s | 36.5 KiB | 00m00s [150/169] libidn2-0:2.3.8-2.fc43.s390x 100% | 603.0 KiB/s | 171.3 KiB | 00m00s [151/169] libunistring-0:1.1-10.fc43.s3 100% | 1.9 MiB/s | 554.6 KiB | 00m00s [152/169] nettle-0:3.10.1-2.fc43.s390x 100% | 1.5 MiB/s | 451.3 KiB | 00m00s [153/169] gdbm-libs-1:1.23-10.fc43.s390 100% | 204.2 KiB/s | 57.8 KiB | 00m00s [154/169] fedora-release-0:43-0.19.noar 100% | 51.0 KiB/s | 14.3 KiB | 00m00s [155/169] systemd-standalone-sysusers-0 100% | 479.6 KiB/s | 136.2 KiB | 00m00s [156/169] xxhash-libs-0:0.8.3-3.fc43.s3 100% | 129.2 KiB/s | 36.7 KiB | 00m00s [157/169] gdb-minimal-0:16.3-4.fc43.s39 100% | 10.7 MiB/s | 4.6 MiB | 00m00s [158/169] fedora-release-identity-basic 100% | 53.4 KiB/s | 15.1 KiB | 00m00s [159/169] libcurl-0:8.15.0-2.fc43.s390x 100% | 1.4 MiB/s | 414.3 KiB | 00m00s [160/169] krb5-libs-0:1.21.3-7.fc43.s39 100% | 2.6 MiB/s | 775.2 KiB | 00m00s [161/169] libbrotli-0:1.1.0-8.fc43.s390 100% | 1.3 MiB/s | 381.1 KiB | 00m00s [162/169] libnghttp2-0:1.66.0-2.fc43.s3 100% | 260.8 KiB/s | 74.8 KiB | 00m00s [163/169] libpsl-0:0.21.5-6.fc43.s390x 100% | 234.8 KiB/s | 65.3 KiB | 00m00s [164/169] libssh-0:0.11.2-2.fc43.s390x 100% | 787.8 KiB/s | 230.0 KiB | 00m00s [165/169] keyutils-libs-0:1.6.3-6.fc43. 100% | 112.3 KiB/s | 31.2 KiB | 00m00s [166/169] libcom_err-0:1.47.3-2.fc43.s3 100% | 92.6 KiB/s | 26.7 KiB | 00m00s [167/169] libverto-0:0.3.2-11.fc43.s390 100% | 73.8 KiB/s | 20.5 KiB | 00m00s [168/169] libssh-config-0:0.11.2-2.fc43 100% | 30.8 KiB/s | 8.9 KiB | 00m00s [169/169] publicsuffix-list-dafsa-0:202 100% | 213.5 KiB/s | 59.2 KiB | 00m00s -------------------------------------------------------------------------------- [169/169] Total 100% | 3.3 MiB/s | 59.0 MiB | 00m18s Running transaction [ 1/171] Verify package files 100% | 1.1 KiB/s | 169.0 B | 00m00s [ 2/171] Prepare transaction 100% | 3.2 KiB/s | 169.0 B | 00m00s [ 3/171] Installing libgcc-0:15.1.1-5. 100% | 166.9 MiB/s | 170.9 KiB | 00m00s [ 4/171] Installing publicsuffix-list- 100% | 0.0 B/s | 69.8 KiB | 00m00s [ 5/171] Installing libssh-config-0:0. 100% | 0.0 B/s | 816.0 B | 00m00s [ 6/171] Installing fedora-release-ide 100% | 0.0 B/s | 920.0 B | 00m00s [ 7/171] Installing fedora-repos-rawhi 100% | 0.0 B/s | 2.4 KiB | 00m00s [ 8/171] Installing fedora-gpg-keys-0: 100% | 42.9 MiB/s | 175.9 KiB | 00m00s [ 9/171] Installing fedora-repos-0:43- 100% | 0.0 B/s | 5.7 KiB | 00m00s [ 10/171] Installing fedora-release-com 100% | 24.2 MiB/s | 24.8 KiB | 00m00s [ 11/171] Installing fedora-release-0:4 100% | 15.1 KiB/s | 124.0 B | 00m00s >>> Running sysusers scriptlet: setup-0:2.15.0-26.fc43.noarch >>> Finished sysusers scriptlet: setup-0:2.15.0-26.fc43.noarch >>> Scriptlet output: >>> Creating group 'adm' with GID 4. >>> Creating group 'audio' with GID 63. >>> Creating group 'cdrom' with GID 11. >>> Creating group 'clock' with GID 103. >>> Creating group 'dialout' with GID 18. >>> Creating group 'disk' with GID 6. >>> Creating group 'floppy' with GID 19. >>> Creating group 'ftp' with GID 50. >>> Creating group 'games' with GID 20. >>> Creating group 'input' with GID 104. >>> Creating group 'kmem' with GID 9. >>> Creating group 'kvm' with GID 36. >>> Creating group 'lock' with GID 54. >>> Creating group 'lp' with GID 7. >>> Creating group 'mail' with GID 12. >>> Creating group 'man' with GID 15. >>> Creating group 'mem' with GID 8. >>> Creating group 'nobody' with GID 65534. >>> Creating group 'render' with GID 105. >>> Creating group 'root' with GID 0. >>> Creating group 'sgx' with GID 106. >>> Creating group 'sys' with GID 3. >>> Creating group 'tape' with GID 33. >>> Creating group 'tty' with GID 5. >>> Creating group 'users' with GID 100. >>> Creating group 'utmp' with GID 22. >>> Creating group 'video' with GID 39. >>> Creating group 'wheel' with GID 10. >>> Creating user 'adm' (adm) with UID 3 and GID 4. >>> Creating group 'bin' with GID 1. >>> Creating user 'bin' (bin) with UID 1 and GID 1. >>> Creating group 'daemon' with GID 2. >>> Creating user 'daemon' (daemon) with UID 2 and GID 2. >>> Creating user 'ftp' (FTP User) with UID 14 and GID 50. >>> Creating user 'games' (games) with UID 12 and GID 100. >>> Creating user 'halt' (halt) with UID 7 and GID 0. >>> Creating user 'lp' (lp) with UID 4 and GID 7. >>> Creating user 'mail' (mail) with UID 8 and GID 12. >>> Creating user 'nobody' (Kernel Overflow User) with UID 65534 and GID 65534. >>> Creating user 'operator' (operator) with UID 11 and GID 0. >>> Creating user 'root' (Super User) with UID 0 and GID 0. >>> Creating user 'shutdown' (shutdown) with UID 6 and GID 0. >>> Creating user 'sync' (sync) with UID 5 and GID 0. >>> [ 12/171] Installing setup-0:2.15.0-26. 100% | 47.6 MiB/s | 730.6 KiB | 00m00s >>> [RPM] /etc/hosts created as /etc/hosts.rpmnew [ 13/171] Installing filesystem-0:3.18- 100% | 2.4 MiB/s | 212.8 KiB | 00m00s [ 14/171] Installing pcre2-syntax-0:10. 100% | 269.9 MiB/s | 276.4 KiB | 00m00s [ 15/171] Installing coreutils-common-0 100% | 297.1 MiB/s | 11.3 MiB | 00m00s [ 16/171] Installing ncurses-base-0:6.5 100% | 86.3 MiB/s | 353.5 KiB | 00m00s [ 17/171] Installing bash-0:5.3.0-2.fc4 100% | 233.0 MiB/s | 8.6 MiB | 00m00s [ 18/171] Installing glibc-common-0:2.4 100% | 63.5 MiB/s | 1.1 MiB | 00m00s [ 19/171] Installing glibc-gconv-extra- 100% | 220.6 MiB/s | 6.8 MiB | 00m00s [ 20/171] Installing glibc-0:2.42-2.fc4 100% | 126.9 MiB/s | 5.2 MiB | 00m00s [ 21/171] Installing ncurses-libs-0:6.5 100% | 201.3 MiB/s | 1.0 MiB | 00m00s [ 22/171] Installing glibc-minimal-lang 100% | 0.0 B/s | 124.0 B | 00m00s [ 23/171] Installing zlib-ng-compat-0:2 100% | 107.4 MiB/s | 109.9 KiB | 00m00s [ 24/171] Installing bzip2-libs-0:1.0.8 100% | 0.0 B/s | 85.5 KiB | 00m00s [ 25/171] Installing libgpg-error-0:1.5 100% | 57.2 MiB/s | 936.7 KiB | 00m00s [ 26/171] Installing libstdc++-0:15.1.1 100% | 287.3 MiB/s | 3.2 MiB | 00m00s [ 27/171] Installing xz-libs-1:5.8.1-2. 100% | 217.2 MiB/s | 222.4 KiB | 00m00s [ 28/171] Installing libassuan-0:2.5.7- 100% | 161.5 MiB/s | 165.4 KiB | 00m00s [ 29/171] Installing libgcrypt-0:1.11.1 100% | 249.0 MiB/s | 1.2 MiB | 00m00s [ 30/171] Installing readline-0:8.3-2.f 100% | 282.0 MiB/s | 577.5 KiB | 00m00s [ 31/171] Installing libuuid-0:2.41.1-1 100% | 0.0 B/s | 34.3 KiB | 00m00s [ 32/171] Installing gmp-1:6.3.0-4.fc43 100% | 252.6 MiB/s | 776.1 KiB | 00m00s [ 33/171] Installing popt-0:1.19-9.fc43 100% | 71.8 MiB/s | 147.1 KiB | 00m00s [ 34/171] Installing npth-0:1.8-3.fc43. 100% | 0.0 B/s | 46.3 KiB | 00m00s [ 35/171] Installing libblkid-0:2.41.1- 100% | 276.6 MiB/s | 283.3 KiB | 00m00s [ 36/171] Installing libxcrypt-0:4.4.38 100% | 142.0 MiB/s | 290.9 KiB | 00m00s [ 37/171] Installing libzstd-0:1.5.7-2. 100% | 214.0 MiB/s | 876.7 KiB | 00m00s [ 38/171] Installing elfutils-libelf-0: 100% | 294.5 MiB/s | 1.2 MiB | 00m00s [ 39/171] Installing sqlite-libs-0:3.50 100% | 239.0 MiB/s | 1.7 MiB | 00m00s [ 40/171] Installing gnupg2-gpgconf-0:2 100% | 20.4 MiB/s | 271.5 KiB | 00m00s [ 41/171] Installing libattr-0:2.5.2-6. 100% | 0.0 B/s | 25.1 KiB | 00m00s [ 42/171] Installing libacl-0:2.3.2-4.f 100% | 0.0 B/s | 36.5 KiB | 00m00s [ 43/171] Installing libtasn1-0:4.20.0- 100% | 185.5 MiB/s | 189.9 KiB | 00m00s [ 44/171] Installing libunistring-0:1.1 100% | 252.2 MiB/s | 1.8 MiB | 00m00s [ 45/171] Installing libidn2-0:2.3.8-2. 100% | 55.7 MiB/s | 570.4 KiB | 00m00s [ 46/171] Installing crypto-policies-0: 100% | 33.6 MiB/s | 172.0 KiB | 00m00s [ 47/171] Installing dwz-0:0.16-2.fc43. 100% | 21.7 MiB/s | 311.8 KiB | 00m00s [ 48/171] Installing gnupg2-verify-0:2. 100% | 27.5 MiB/s | 365.6 KiB | 00m00s [ 49/171] Installing mpfr-0:4.2.2-2.fc4 100% | 228.2 MiB/s | 701.2 KiB | 00m00s [ 50/171] Installing gawk-0:5.3.2-2.fc4 100% | 93.7 MiB/s | 1.9 MiB | 00m00s [ 51/171] Installing libksba-0:1.6.7-4. 100% | 201.6 MiB/s | 412.9 KiB | 00m00s [ 52/171] Installing unzip-0:6.0-67.fc4 100% | 29.8 MiB/s | 397.0 KiB | 00m00s [ 53/171] Installing file-libs-0:5.46-6 100% | 494.2 MiB/s | 11.9 MiB | 00m00s [ 54/171] Installing file-0:5.46-6.fc43 100% | 8.3 MiB/s | 101.5 KiB | 00m00s [ 55/171] Installing libcap-ng-0:0.8.5- 100% | 60.8 MiB/s | 62.3 KiB | 00m00s [ 56/171] Installing audit-libs-0:4.1.1 100% | 195.7 MiB/s | 400.8 KiB | 00m00s [ 57/171] Installing libsmartcols-0:2.4 100% | 188.7 MiB/s | 193.2 KiB | 00m00s [ 58/171] Installing libeconf-0:0.7.9-2 100% | 64.8 MiB/s | 66.3 KiB | 00m00s [ 59/171] Installing pam-libs-0:1.7.1-3 100% | 121.6 MiB/s | 124.5 KiB | 00m00s [ 60/171] Installing libcap-0:2.76-2.fc 100% | 16.2 MiB/s | 216.2 KiB | 00m00s [ 61/171] Installing systemd-libs-0:257 100% | 252.0 MiB/s | 2.3 MiB | 00m00s [ 62/171] Installing lua-libs-0:5.4.8-2 100% | 310.5 MiB/s | 317.9 KiB | 00m00s [ 63/171] Installing libsepol-0:3.9-2.f 100% | 208.6 MiB/s | 854.5 KiB | 00m00s [ 64/171] Installing pcre2-0:10.45-1.fc 100% | 233.9 MiB/s | 718.4 KiB | 00m00s [ 65/171] Installing libselinux-0:3.9-2 100% | 205.2 MiB/s | 210.1 KiB | 00m00s [ 66/171] Installing grep-0:3.12-2.fc43 100% | 59.6 MiB/s | 1.0 MiB | 00m00s [ 67/171] Installing findutils-1:4.10.0 100% | 99.0 MiB/s | 1.9 MiB | 00m00s [ 68/171] Installing sed-0:4.9-5.fc43.s 100% | 53.3 MiB/s | 873.2 KiB | 00m00s [ 69/171] Installing xz-1:5.8.1-2.fc43. 100% | 74.2 MiB/s | 1.3 MiB | 00m00s [ 70/171] Installing libmount-0:2.41.1- 100% | 190.1 MiB/s | 389.2 KiB | 00m00s [ 71/171] Installing lz4-libs-0:1.10.0- 100% | 197.6 MiB/s | 202.3 KiB | 00m00s [ 72/171] Installing alternatives-0:1.3 100% | 5.2 MiB/s | 63.5 KiB | 00m00s [ 73/171] Installing json-c-0:0.18-7.fc 100% | 81.7 MiB/s | 83.6 KiB | 00m00s [ 74/171] Installing libffi-0:3.5.1-2.f 100% | 78.7 MiB/s | 80.6 KiB | 00m00s [ 75/171] Installing p11-kit-0:0.25.5-9 100% | 113.3 MiB/s | 2.5 MiB | 00m00s [ 76/171] Installing p11-kit-trust-0:0. 100% | 21.6 MiB/s | 464.5 KiB | 00m00s [ 77/171] Installing openssl-libs-1:3.5 100% | 251.9 MiB/s | 7.3 MiB | 00m00s [ 78/171] Installing coreutils-0:9.7-5. 100% | 155.3 MiB/s | 5.7 MiB | 00m00s [ 79/171] Installing ca-certificates-0: 100% | 1.7 MiB/s | 2.4 MiB | 00m01s [ 80/171] Installing gzip-0:1.13-4.fc43 100% | 26.2 MiB/s | 402.1 KiB | 00m00s [ 81/171] Installing libfsverity-0:1.6- 100% | 0.0 B/s | 25.2 KiB | 00m00s [ 82/171] Installing rpm-sequoia-0:1.9. 100% | 262.9 MiB/s | 2.6 MiB | 00m00s [ 83/171] Installing libevent-0:2.1.12- 100% | 298.8 MiB/s | 917.9 KiB | 00m00s [ 84/171] Installing zstd-0:1.5.7-2.fc4 100% | 108.3 MiB/s | 1.8 MiB | 00m00s [ 85/171] Installing util-linux-core-0: 100% | 75.2 MiB/s | 1.4 MiB | 00m00s [ 86/171] Installing tar-2:1.35-6.fc43. 100% | 137.3 MiB/s | 3.0 MiB | 00m00s [ 87/171] Installing libsemanage-0:3.9- 100% | 153.2 MiB/s | 313.8 KiB | 00m00s [ 88/171] Installing systemd-standalone 100% | 21.2 MiB/s | 281.9 KiB | 00m00s [ 89/171] Installing rpm-libs-0:5.99.91 100% | 245.3 MiB/s | 1.0 MiB | 00m00s [ 90/171] Installing libusb1-0:1.0.29-2 100% | 21.0 MiB/s | 172.3 KiB | 00m00s >>> Running sysusers scriptlet: tpm2-tss-0:4.1.3-8.fc43.s390x >>> Finished sysusers scriptlet: tpm2-tss-0:4.1.3-8.fc43.s390x >>> Scriptlet output: >>> Creating group 'tss' with GID 59. >>> Creating user 'tss' (Account used for TPM access) with UID 59 and GID 59. >>> [ 91/171] Installing tpm2-tss-0:4.1.3-8 100% | 198.5 MiB/s | 1.6 MiB | 00m00s [ 92/171] Installing ima-evm-utils-libs 100% | 56.4 MiB/s | 57.8 KiB | 00m00s [ 93/171] Installing gnupg2-gpg-agent-0 100% | 32.1 MiB/s | 722.3 KiB | 00m00s [ 94/171] Installing zip-0:3.0-44.fc43. 100% | 47.8 MiB/s | 733.5 KiB | 00m00s [ 95/171] Installing gnupg2-keyboxd-0:2 100% | 41.1 MiB/s | 210.4 KiB | 00m00s [ 96/171] Installing libpsl-0:0.21.5-6. 100% | 75.5 MiB/s | 77.3 KiB | 00m00s [ 97/171] Installing liblastlog2-0:2.41 100% | 6.9 MiB/s | 35.6 KiB | 00m00s [ 98/171] Installing libfdisk-0:2.41.1- 100% | 193.3 MiB/s | 395.9 KiB | 00m00s [ 99/171] Installing nettle-0:3.10.1-2. 100% | 203.3 MiB/s | 832.8 KiB | 00m00s [100/171] Installing gnutls-0:3.8.10-3. 100% | 271.7 MiB/s | 3.5 MiB | 00m00s [101/171] Installing libxml2-0:2.12.10- 100% | 93.0 MiB/s | 1.9 MiB | 00m00s [102/171] Installing libarchive-0:3.8.1 100% | 203.3 MiB/s | 1.0 MiB | 00m00s [103/171] Installing bzip2-0:1.0.8-21.f 100% | 7.4 MiB/s | 91.4 KiB | 00m00s [104/171] Installing add-determinism-0: 100% | 124.4 MiB/s | 2.7 MiB | 00m00s [105/171] Installing build-reproducibil 100% | 0.0 B/s | 1.0 KiB | 00m00s [106/171] Installing cpio-0:2.15-6.fc43 100% | 69.7 MiB/s | 1.1 MiB | 00m00s [107/171] Installing diffutils-0:3.12-3 100% | 88.2 MiB/s | 1.6 MiB | 00m00s [108/171] Installing libgomp-0:15.1.1-5 100% | 267.6 MiB/s | 548.1 KiB | 00m00s [109/171] Installing libpkgconf-0:2.3.0 100% | 80.9 MiB/s | 82.9 KiB | 00m00s [110/171] Installing pkgconf-0:2.3.0-3. 100% | 7.4 MiB/s | 90.7 KiB | 00m00s [111/171] Installing ed-0:1.22-2.fc43.s 100% | 12.1 MiB/s | 149.1 KiB | 00m00s [112/171] Installing patch-0:2.8-2.fc43 100% | 18.0 MiB/s | 239.8 KiB | 00m00s [113/171] Installing jansson-0:2.14-3.f 100% | 88.1 MiB/s | 90.2 KiB | 00m00s [114/171] Installing libtool-ltdl-0:2.5 100% | 69.2 MiB/s | 70.9 KiB | 00m00s [115/171] Installing gdbm-libs-1:1.23-1 100% | 124.1 MiB/s | 127.1 KiB | 00m00s [116/171] Installing cyrus-sasl-lib-0:2 100% | 112.2 MiB/s | 2.4 MiB | 00m00s [117/171] Installing openldap-0:2.6.10- 100% | 164.3 MiB/s | 673.1 KiB | 00m00s [118/171] Installing gnupg2-dirmngr-0:2 100% | 32.4 MiB/s | 664.4 KiB | 00m00s [119/171] Installing gnupg2-0:2.4.8-4.f 100% | 179.7 MiB/s | 6.6 MiB | 00m00s [120/171] Installing rpm-sign-libs-0:5. 100% | 0.0 B/s | 36.3 KiB | 00m00s [121/171] Installing gpgverify-0:2.2-3. 100% | 0.0 B/s | 9.4 KiB | 00m00s [122/171] Installing xxhash-libs-0:0.8. 100% | 65.5 MiB/s | 67.1 KiB | 00m00s [123/171] Installing libbrotli-0:1.1.0- 100% | 224.4 MiB/s | 918.9 KiB | 00m00s [124/171] Installing libnghttp2-0:1.66. 100% | 162.9 MiB/s | 166.8 KiB | 00m00s [125/171] Installing keyutils-libs-0:1. 100% | 50.3 MiB/s | 51.5 KiB | 00m00s [126/171] Installing libcom_err-0:1.47. 100% | 58.6 MiB/s | 60.0 KiB | 00m00s [127/171] Installing libverto-0:0.3.2-1 100% | 26.3 MiB/s | 26.9 KiB | 00m00s [128/171] Installing krb5-libs-0:1.21.3 100% | 241.3 MiB/s | 2.4 MiB | 00m00s [129/171] Installing libssh-0:0.11.2-2. 100% | 190.3 MiB/s | 584.5 KiB | 00m00s [130/171] Installing libcurl-0:8.15.0-2 100% | 231.5 MiB/s | 948.1 KiB | 00m00s [131/171] Installing curl-0:8.15.0-2.fc 100% | 23.4 MiB/s | 504.2 KiB | 00m00s [132/171] Installing rpm-0:5.99.91-3.fc 100% | 73.0 MiB/s | 2.5 MiB | 00m00s [133/171] Installing efi-srpm-macros-0: 100% | 40.2 MiB/s | 41.1 KiB | 00m00s [134/171] Installing java-srpm-macros-0 100% | 0.0 B/s | 1.1 KiB | 00m00s [135/171] Installing lua-srpm-macros-0: 100% | 0.0 B/s | 1.9 KiB | 00m00s [136/171] Installing tree-sitter-srpm-m 100% | 0.0 B/s | 9.3 KiB | 00m00s [137/171] Installing zig-srpm-macros-0: 100% | 0.0 B/s | 1.7 KiB | 00m00s [138/171] Installing filesystem-srpm-ma 100% | 4.8 MiB/s | 38.9 KiB | 00m00s [139/171] Installing elfutils-default-y 100% | 510.7 KiB/s | 2.0 KiB | 00m00s [140/171] Installing elfutils-libs-0:0. 100% | 189.5 MiB/s | 776.1 KiB | 00m00s [141/171] Installing elfutils-debuginfo 100% | 5.4 MiB/s | 77.8 KiB | 00m00s [142/171] Installing binutils-0:2.45-1. 100% | 262.4 MiB/s | 28.1 MiB | 00m00s [143/171] Installing elfutils-0:0.193-3 100% | 135.3 MiB/s | 3.0 MiB | 00m00s [144/171] Installing gdb-minimal-0:16.3 100% | 234.5 MiB/s | 15.2 MiB | 00m00s [145/171] Installing debugedit-0:5.2-2. 100% | 15.3 MiB/s | 204.0 KiB | 00m00s [146/171] Installing rpm-build-libs-0:5 100% | 135.1 MiB/s | 276.7 KiB | 00m00s [147/171] Installing pkgconf-m4-0:2.3.0 100% | 0.0 B/s | 14.8 KiB | 00m00s [148/171] Installing pkgconf-pkg-config 100% | 147.8 KiB/s | 1.8 KiB | 00m00s [149/171] Installing rust-srpm-macros-0 100% | 0.0 B/s | 5.6 KiB | 00m00s [150/171] Installing qt6-srpm-macros-0: 100% | 0.0 B/s | 740.0 B | 00m00s [151/171] Installing qt5-srpm-macros-0: 100% | 0.0 B/s | 776.0 B | 00m00s [152/171] Installing perl-srpm-macros-0 100% | 0.0 B/s | 1.1 KiB | 00m00s [153/171] Installing package-notes-srpm 100% | 0.0 B/s | 2.0 KiB | 00m00s [154/171] Installing openblas-srpm-macr 100% | 0.0 B/s | 392.0 B | 00m00s [155/171] Installing ocaml-srpm-macros- 100% | 0.0 B/s | 2.1 KiB | 00m00s [156/171] Installing kernel-srpm-macros 100% | 0.0 B/s | 2.3 KiB | 00m00s [157/171] Installing gnat-srpm-macros-0 100% | 0.0 B/s | 1.3 KiB | 00m00s [158/171] Installing ghc-srpm-macros-0: 100% | 0.0 B/s | 1.0 KiB | 00m00s [159/171] Installing fpc-srpm-macros-0: 100% | 0.0 B/s | 420.0 B | 00m00s [160/171] Installing ansible-srpm-macro 100% | 0.0 B/s | 36.2 KiB | 00m00s [161/171] Installing rpm-build-0:5.99.9 100% | 20.1 MiB/s | 288.3 KiB | 00m00s [162/171] Installing pyproject-srpm-mac 100% | 0.0 B/s | 2.5 KiB | 00m00s [163/171] Installing redhat-rpm-config- 100% | 92.4 MiB/s | 189.3 KiB | 00m00s [164/171] Installing forge-srpm-macros- 100% | 0.0 B/s | 40.3 KiB | 00m00s [165/171] Installing fonts-srpm-macros- 100% | 55.7 MiB/s | 57.0 KiB | 00m00s [166/171] Installing go-srpm-macros-0:3 100% | 61.3 MiB/s | 62.7 KiB | 00m00s [167/171] Installing python-srpm-macros 100% | 51.6 MiB/s | 52.8 KiB | 00m00s [168/171] Installing util-linux-0:2.41. 100% | 87.7 MiB/s | 3.4 MiB | 00m00s [169/171] Installing shadow-utils-2:4.1 100% | 118.8 MiB/s | 4.0 MiB | 00m00s [170/171] Installing which-0:2.23-3.fc4 100% | 7.0 MiB/s | 85.4 KiB | 00m00s [171/171] Installing info-0:7.2-6.fc43. 100% | 212.4 KiB/s | 397.4 KiB | 00m02s Warning: skipped OpenPGP checks for 169 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.s390x alternatives-1.33-2.fc43.s390x ansible-srpm-macros-1-18.1.fc43.noarch audit-libs-4.1.1-1.fc43.s390x bash-5.3.0-2.fc43.s390x binutils-2.45-1.fc43.s390x build-reproducibility-srpm-macros-0.6.0-2.fc43.noarch bzip2-1.0.8-21.fc43.s390x bzip2-libs-1.0.8-21.fc43.s390x ca-certificates-2024.2.69_v8.0.401-7.fc43.noarch coreutils-9.7-5.fc43.s390x coreutils-common-9.7-5.fc43.s390x cpio-2.15-6.fc43.s390x crypto-policies-20250714-3.gitcd6043a.fc43.noarch curl-8.15.0-2.fc43.s390x cyrus-sasl-lib-2.1.28-33.fc43.s390x debugedit-5.2-2.fc43.s390x diffutils-3.12-3.fc43.s390x dwz-0.16-2.fc43.s390x ed-1.22-2.fc43.s390x efi-srpm-macros-6-4.fc43.noarch elfutils-0.193-3.fc43.s390x elfutils-debuginfod-client-0.193-3.fc43.s390x elfutils-default-yama-scope-0.193-3.fc43.noarch elfutils-libelf-0.193-3.fc43.s390x elfutils-libs-0.193-3.fc43.s390x 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.s390x file-libs-5.46-6.fc43.s390x filesystem-3.18-50.fc43.s390x filesystem-srpm-macros-3.18-50.fc43.noarch findutils-4.10.0-6.fc43.s390x 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.s390x gdb-minimal-16.3-4.fc43.s390x gdbm-libs-1.23-10.fc43.s390x ghc-srpm-macros-1.9.2-3.fc43.noarch glibc-2.42-2.fc43.s390x glibc-common-2.42-2.fc43.s390x glibc-gconv-extra-2.42-2.fc43.s390x glibc-minimal-langpack-2.42-2.fc43.s390x gmp-6.3.0-4.fc43.s390x gnat-srpm-macros-6-8.fc43.noarch gnupg2-2.4.8-4.fc43.s390x gnupg2-dirmngr-2.4.8-4.fc43.s390x gnupg2-gpg-agent-2.4.8-4.fc43.s390x gnupg2-gpgconf-2.4.8-4.fc43.s390x gnupg2-keyboxd-2.4.8-4.fc43.s390x gnupg2-verify-2.4.8-4.fc43.s390x gnutls-3.8.10-3.fc43.s390x go-srpm-macros-3.7.0-4.fc43.noarch gpgverify-2.2-3.fc43.noarch grep-3.12-2.fc43.s390x gzip-1.13-4.fc43.s390x ima-evm-utils-libs-1.6.2-6.fc43.s390x info-7.2-6.fc43.s390x jansson-2.14-3.fc43.s390x java-srpm-macros-1-7.fc43.noarch json-c-0.18-7.fc43.s390x kernel-srpm-macros-1.0-27.fc43.noarch keyutils-libs-1.6.3-6.fc43.s390x krb5-libs-1.21.3-7.fc43.s390x libacl-2.3.2-4.fc43.s390x libarchive-3.8.1-3.fc43.s390x libassuan-2.5.7-4.fc43.s390x libattr-2.5.2-6.fc43.s390x libblkid-2.41.1-15.fc43.s390x libbrotli-1.1.0-8.fc43.s390x libcap-2.76-2.fc43.s390x libcap-ng-0.8.5-6.fc43.s390x libcom_err-1.47.3-2.fc43.s390x libcurl-8.15.0-2.fc43.s390x libeconf-0.7.9-2.fc43.s390x libevent-2.1.12-16.fc43.s390x libfdisk-2.41.1-15.fc43.s390x libffi-3.5.1-2.fc43.s390x libfsverity-1.6-3.fc43.s390x libgcc-15.1.1-5.fc43.1.s390x libgcrypt-1.11.1-2.fc43.s390x libgomp-15.1.1-5.fc43.1.s390x libgpg-error-1.55-2.fc43.s390x libidn2-2.3.8-2.fc43.s390x libksba-1.6.7-4.fc43.s390x liblastlog2-2.41.1-15.fc43.s390x libmount-2.41.1-15.fc43.s390x libnghttp2-1.66.0-2.fc43.s390x libpkgconf-2.3.0-3.fc43.s390x libpsl-0.21.5-6.fc43.s390x libselinux-3.9-2.fc43.s390x libsemanage-3.9-2.fc43.s390x libsepol-3.9-2.fc43.s390x libsmartcols-2.41.1-15.fc43.s390x libssh-0.11.2-2.fc43.s390x libssh-config-0.11.2-2.fc43.noarch libstdc++-15.1.1-5.fc43.1.s390x libtasn1-4.20.0-2.fc43.s390x libtool-ltdl-2.5.4-7.fc43.s390x libunistring-1.1-10.fc43.s390x libusb1-1.0.29-2.fc43.s390x libuuid-2.41.1-15.fc43.s390x libverto-0.3.2-11.fc43.s390x libxcrypt-4.4.38-8.fc43.s390x libxml2-2.12.10-3.fc43.s390x libzstd-1.5.7-2.fc43.s390x lua-libs-5.4.8-2.fc43.s390x lua-srpm-macros-1-16.fc43.noarch lz4-libs-1.10.0-3.fc43.s390x mpfr-4.2.2-2.fc43.s390x ncurses-base-6.5-7.20250614.fc43.noarch ncurses-libs-6.5-7.20250614.fc43.s390x nettle-3.10.1-2.fc43.s390x npth-1.8-3.fc43.s390x ocaml-srpm-macros-11-2.fc43.noarch openblas-srpm-macros-2-20.fc43.noarch openldap-2.6.10-3.fc43.s390x openssl-libs-3.5.1-2.fc43.s390x p11-kit-0.25.5-9.fc43.s390x p11-kit-trust-0.25.5-9.fc43.s390x package-notes-srpm-macros-0.5-14.fc43.noarch pam-libs-1.7.1-3.fc43.s390x patch-2.8-2.fc43.s390x pcre2-10.45-1.fc43.1.s390x pcre2-syntax-10.45-1.fc43.1.noarch perl-srpm-macros-1-60.fc43.noarch pkgconf-2.3.0-3.fc43.s390x pkgconf-m4-2.3.0-3.fc43.noarch pkgconf-pkg-config-2.3.0-3.fc43.s390x popt-1.19-9.fc43.s390x 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.s390x redhat-rpm-config-343-10.fc43.noarch rpm-5.99.91-3.fc43.s390x rpm-build-5.99.91-3.fc43.s390x rpm-build-libs-5.99.91-3.fc43.s390x rpm-libs-5.99.91-3.fc43.s390x rpm-sequoia-1.9.0-2.fc43.s390x rpm-sign-libs-5.99.91-3.fc43.s390x rust-srpm-macros-26.3-5.fc43.noarch sed-4.9-5.fc43.s390x setup-2.15.0-26.fc43.noarch shadow-utils-4.18.0-3.fc43.s390x sqlite-libs-3.50.2-2.fc43.s390x systemd-libs-257.7-1.fc43.s390x systemd-standalone-sysusers-257.7-1.fc43.s390x tar-1.35-6.fc43.s390x tpm2-tss-4.1.3-8.fc43.s390x tree-sitter-srpm-macros-0.4.2-1.fc43.noarch unzip-6.0-67.fc43.s390x util-linux-2.41.1-15.fc43.s390x util-linux-core-2.41.1-15.fc43.s390x which-2.23-3.fc43.s390x xxhash-libs-0.8.3-3.fc43.s390x xz-5.8.1-2.fc43.s390x xz-libs-5.8.1-2.fc43.s390x zig-srpm-macros-1-5.fc43.noarch zip-3.0-44.fc43.s390x zlib-ng-compat-2.2.4-3.fc43.s390x zstd-1.5.7-2.fc43.s390x Start: buildsrpm Start: rpmbuild -bs Building target platforms: s390x Building for target s390x 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-rawhide-s390x-1754577530.600594/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-ecyc8cxq/python-scikit-learn/python-scikit-learn.spec) Config(child) 0 minutes 53 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-rawhide-s390x) Start(bootstrap): chroot init INFO: mounting tmpfs at /var/lib/mock/fedora-rawhide-s390x-bootstrap-1754577530.600594/root. INFO: reusing tmpfs at /var/lib/mock/fedora-rawhide-s390x-bootstrap-1754577530.600594/root. INFO: calling preinit hooks INFO: enabled root cache INFO: enabled package manager cache Start(bootstrap): cleaning package manager metadata Finish(bootstrap): cleaning package manager metadata Finish(bootstrap): chroot init Start: chroot init INFO: mounting tmpfs at /var/lib/mock/fedora-rawhide-s390x-1754577530.600594/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-5.99.91-2.fc43.s390x rpm-sequoia-1.9.0-2.fc43.s390x dnf5-5.2.15.0-3.fc43.s390x dnf5-plugins-5.2.15.0-3.fc43.s390x 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: s390x Building for target s390x setting SOURCE_DATE_EPOCH=1753920000 Wrote: /builddir/build/SRPMS/python-scikit-learn-1.7.1-1.fc43.src.rpm Updating and loading repositories: Additional repo http_kojipkgs_fedorapr 100% | 5.3 KiB/s | 3.8 KiB | 00m01s Copr repository 100% | 3.0 KiB/s | 2.2 KiB | 00m01s fedora 100% | 4.7 KiB/s | 6.3 KiB | 00m01s Repositories loaded. Package Arch Version Repository Size Installing: gcc s390x 15.1.1-5.fc43.1 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 81.3 MiB gcc-c++ s390x 15.1.1-5.fc43.1 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 30.7 MiB python3-devel s390x 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 8.3.5-7.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 21.6 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 12.99-1.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 98.9 KiB annobin-plugin-gcc s390x 12.99-1.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.0 MiB cpp s390x 15.1.1-5.fc43.1 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 27.2 MiB expat s390x 2.7.1-3.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 313.7 KiB gcc-plugin-annobin s390x 15.1.1-5.fc43.1 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 56.8 KiB glibc-devel s390x 2.42-2.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 3.6 MiB kernel-headers s390x 6.16.0-65.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 6.7 MiB libasan s390x 15.1.1-5.fc43.1 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.6 MiB libatomic s390x 15.1.1-5.fc43.1 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 28.3 KiB libmpc s390x 1.3.1-8.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 160.4 KiB libstdc++-devel s390x 15.1.1-5.fc43.1 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 37.1 MiB libubsan s390x 15.1.1-5.fc43.1 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 495.6 KiB libxcrypt-devel s390x 4.4.38-8.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 30.8 KiB make s390x 1:4.4.1-11.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.9 MiB mpdecimal s390x 4.0.1-2.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 237.0 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 s390x 3.14.0~rc1-2.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 24.7 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 s390x 3.14.0~rc1-2.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 43.2 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 81 MiB. Need to download 81 MiB. After this operation, 275 MiB extra will be used (install 275 MiB, remove 0 B). [ 1/34] python3-devel-0:3.14.0~rc1-2.fc 100% | 303.6 KiB/s | 386.2 KiB | 00m01s [ 2/34] python3-joblib-0:1.5.1-4.fc43.n 100% | 1.2 MiB/s | 543.8 KiB | 00m00s [ 3/34] gcc-c++-0:15.1.1-5.fc43.1.s390x 100% | 5.8 MiB/s | 12.4 MiB | 00m02s [ 4/34] python3-pytest-0:8.3.5-7.fc43.n 100% | 4.8 MiB/s | 2.1 MiB | 00m00s [ 5/34] python3-threadpoolctl-0:3.5.0-8 100% | 158.5 KiB/s | 44.8 KiB | 00m00s [ 6/34] python3-setuptools-0:78.1.1-10. 100% | 4.5 MiB/s | 1.9 MiB | 00m00s [ 7/34] python3-0:3.14.0~rc1-2.fc43.s39 100% | 94.0 KiB/s | 27.2 KiB | 00m00s [ 8/34] python3-iniconfig-0:2.1.0-1.fc4 100% | 81.3 KiB/s | 22.7 KiB | 00m00s [ 9/34] gcc-0:15.1.1-5.fc43.1.s390x 100% | 11.0 MiB/s | 32.2 MiB | 00m03s [10/34] python3-packaging-0:25.0-4.fc43 100% | 524.4 KiB/s | 151.0 KiB | 00m00s [11/34] python3-pluggy-0:1.6.0-2.fc43.n 100% | 200.5 KiB/s | 55.9 KiB | 00m00s [12/34] python3-cloudpickle-0:3.1.1-5.f 100% | 166.3 KiB/s | 48.1 KiB | 00m00s [13/34] libmpc-0:1.3.1-8.fc43.s390x 100% | 250.9 KiB/s | 72.5 KiB | 00m00s [14/34] python3-libs-0:3.14.0~rc1-2.fc4 100% | 16.4 MiB/s | 9.4 MiB | 00m01s [15/34] libstdc++-devel-0:15.1.1-5.fc43 100% | 11.9 MiB/s | 5.1 MiB | 00m00s [16/34] glibc-devel-0:2.42-2.fc43.s390x 100% | 1.8 MiB/s | 531.2 KiB | 00m00s [17/34] libasan-0:15.1.1-5.fc43.1.s390x 100% | 1.9 MiB/s | 529.4 KiB | 00m00s [18/34] cpp-0:15.1.1-5.fc43.1.s390x 100% | 17.2 MiB/s | 10.2 MiB | 00m01s [19/34] libatomic-0:15.1.1-5.fc43.1.s39 100% | 140.2 KiB/s | 40.2 KiB | 00m00s [20/34] libubsan-0:15.1.1-5.fc43.1.s390 100% | 839.5 KiB/s | 235.9 KiB | 00m00s [21/34] make-1:4.4.1-11.fc43.s390x 100% | 2.0 MiB/s | 597.7 KiB | 00m00s [22/34] expat-0:2.7.1-3.fc43.s390x 100% | 413.1 KiB/s | 119.4 KiB | 00m00s [23/34] mpdecimal-0:4.0.1-2.fc43.s390x 100% | 378.8 KiB/s | 106.8 KiB | 00m00s [24/34] python-pip-wheel-0:25.1.1-14.fc 100% | 4.2 MiB/s | 1.2 MiB | 00m00s [25/34] tzdata-0:2025b-3.fc43.noarch 100% | 1.4 MiB/s | 429.3 KiB | 00m00s [26/34] kernel-headers-0:6.16.0-65.fc43 100% | 5.4 MiB/s | 1.5 MiB | 00m00s [27/34] libxcrypt-devel-0:4.4.38-8.fc43 100% | 102.7 KiB/s | 29.1 KiB | 00m00s [28/34] pyproject-rpm-macros-0:1.18.3-2 100% | 154.5 KiB/s | 44.3 KiB | 00m00s [29/34] python-rpm-macros-0:3.14-4.fc43 100% | 61.6 KiB/s | 17.2 KiB | 00m00s [30/34] python3-rpm-generators-0:14-13. 100% | 100.8 KiB/s | 28.5 KiB | 00m00s [31/34] python3-rpm-macros-0:3.14-4.fc4 100% | 40.9 KiB/s | 11.7 KiB | 00m00s [32/34] annobin-plugin-gcc-0:12.99-1.fc 100% | 3.4 MiB/s | 996.3 KiB | 00m00s [33/34] annobin-docs-0:12.99-1.fc43.noa 100% | 315.2 KiB/s | 89.5 KiB | 00m00s [34/34] gcc-plugin-annobin-0:15.1.1-5.f 100% | 187.2 KiB/s | 53.9 KiB | 00m00s -------------------------------------------------------------------------------- [34/34] Total 100% | 14.5 MiB/s | 81.1 MiB | 00m06s Running transaction [ 1/36] Verify package files 100% | 198.0 B/s | 34.0 B | 00m00s [ 2/36] Prepare transaction 100% | 576.0 B/s | 34.0 B | 00m00s [ 3/36] Installing python-rpm-macros-0: 100% | 0.0 B/s | 23.5 KiB | 00m00s [ 4/36] Installing libmpc-0:1.3.1-8.fc4 100% | 158.1 MiB/s | 161.9 KiB | 00m00s [ 5/36] Installing python3-rpm-macros-0 100% | 0.0 B/s | 6.8 KiB | 00m00s [ 6/36] Installing pyproject-rpm-macros 100% | 113.7 MiB/s | 116.5 KiB | 00m00s [ 7/36] Installing cpp-0:15.1.1-5.fc43. 100% | 151.2 MiB/s | 27.2 MiB | 00m00s [ 8/36] Installing annobin-docs-0:12.99 100% | 32.6 MiB/s | 100.1 KiB | 00m00s [ 9/36] Installing kernel-headers-0:6.1 100% | 108.0 MiB/s | 6.8 MiB | 00m00s [10/36] Installing glibc-devel-0:2.42-2 100% | 131.2 MiB/s | 3.7 MiB | 00m00s [11/36] Installing libxcrypt-devel-0:4. 100% | 6.5 MiB/s | 33.1 KiB | 00m00s [12/36] Installing tzdata-0:2025b-3.fc4 100% | 33.2 MiB/s | 1.9 MiB | 00m00s [13/36] Installing python-pip-wheel-0:2 100% | 311.3 MiB/s | 1.2 MiB | 00m00s [14/36] Installing mpdecimal-0:4.0.1-2. 100% | 116.5 MiB/s | 238.5 KiB | 00m00s [15/36] Installing expat-0:2.7.1-3.fc43 100% | 11.9 MiB/s | 315.8 KiB | 00m00s [16/36] Installing python3-libs-0:3.14. 100% | 169.6 MiB/s | 43.6 MiB | 00m00s [17/36] Installing python3-0:3.14.0~rc1 100% | 1.4 MiB/s | 26.5 KiB | 00m00s [18/36] Installing python3-packaging-0: 100% | 100.9 MiB/s | 620.0 KiB | 00m00s [19/36] Installing python3-rpm-generato 100% | 81.0 MiB/s | 82.9 KiB | 00m00s [20/36] Installing python3-iniconfig-0: 100% | 22.7 MiB/s | 46.5 KiB | 00m00s [21/36] Installing python3-pluggy-0:1.6 100% | 70.8 MiB/s | 217.5 KiB | 00m00s [22/36] Installing python3-cloudpickle- 100% | 65.0 MiB/s | 133.2 KiB | 00m00s [23/36] Installing make-1:4.4.1-11.fc43 100% | 64.1 MiB/s | 1.9 MiB | 00m00s [24/36] Installing libubsan-0:15.1.1-5. 100% | 121.2 MiB/s | 496.4 KiB | 00m00s [25/36] Installing libatomic-0:15.1.1-5 100% | 28.5 MiB/s | 29.2 KiB | 00m00s [26/36] Installing libasan-0:15.1.1-5.f 100% | 147.2 MiB/s | 1.6 MiB | 00m00s [27/36] Installing gcc-0:15.1.1-5.fc43. 100% | 175.7 MiB/s | 81.4 MiB | 00m00s [28/36] Installing libstdc++-devel-0:15 100% | 229.7 MiB/s | 37.2 MiB | 00m00s [29/36] Installing gcc-c++-0:15.1.1-5.f 100% | 154.3 MiB/s | 30.7 MiB | 00m00s [30/36] Installing annobin-plugin-gcc-0 100% | 61.7 MiB/s | 1.0 MiB | 00m00s [31/36] Installing gcc-plugin-annobin-0 100% | 3.6 MiB/s | 58.4 KiB | 00m00s [32/36] Installing python3-joblib-0:1.5 100% | 100.5 MiB/s | 2.3 MiB | 00m00s [33/36] Installing python3-pytest-0:8.3 100% | 217.8 MiB/s | 21.8 MiB | 00m00s [34/36] Installing python3-devel-0:3.14 100% | 79.6 MiB/s | 2.0 MiB | 00m00s [35/36] Installing python3-setuptools-0 100% | 204.9 MiB/s | 9.2 MiB | 00m00s [36/36] Installing python3-threadpoolct 100% | 1.5 MiB/s | 139.6 KiB | 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: s390x Building for target s390x setting SOURCE_DATE_EPOCH=1753920000 Executing(%mkbuilddir): /bin/sh -e /var/tmp/rpm-tmp.ysUb4U Executing(%prep): /bin/sh -e /var/tmp/rpm-tmp.CICpYQ + 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.sCiEV2 + 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 -march=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection ' + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection ' + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection -I/usr/lib64/gfortran/modules ' + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection -I/usr/lib64/gfortran/modules ' + VALAFLAGS=-g + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-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.s390x-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.s390x-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: Additional repo http_kojipkgs_fedorapr 100% | 5.4 KiB/s | 3.8 KiB | 00m01s Copr repository 100% | 3.0 KiB/s | 2.2 KiB | 00m01s fedora 100% | 5.6 KiB/s | 6.3 KiB | 00m01s Repositories loaded. Package "gcc-15.1.1-5.fc43.1.s390x" is already installed. Package "gcc-c++-15.1.1-5.fc43.1.s390x" 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.s390x" 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-8.3.5-7.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 s390x 3.1.2-2.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 18.9 MiB python3-meson-python noarch 0.18.0-4.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 326.5 KiB python3-numpy s390x 1:2.3.2-1.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 37.7 MiB python3-pip noarch 25.1.1-14.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 12.5 MiB python3-scipy s390x 1.15.3-4.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 71.7 MiB Installing dependencies: flexiblas s390x 3.4.5-4.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 50.4 KiB flexiblas-netlib s390x 3.4.5-4.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 12.5 MiB flexiblas-openblas-openmp s390x 3.4.5-4.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 39.0 KiB libgfortran s390x 15.1.1-5.fc43.1 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 2.5 MiB meson noarch 1.8.3-1.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 13.2 MiB ninja-build s390x 1.13.1-2.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 483.7 KiB openblas s390x 0.3.29-2.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 111.7 KiB openblas-openmp s390x 0.3.29-2.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 15.2 MiB patchelf s390x 0.18.0-9.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 290.8 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 s390x 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 2:9.1.1591-1.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 40.0 B Transaction Summary: Installing: 23 packages Total size of inbound packages is 44 MiB. Need to download 44 MiB. After this operation, 191 MiB extra will be used (install 191 MiB, remove 0 B). [ 1/23] python3-meson-python-0:0.18.0-4 100% | 87.2 KiB/s | 88.4 KiB | 00m01s [ 2/23] python3-cython-0:3.1.2-2.fc43.s 100% | 2.1 MiB/s | 3.9 MiB | 00m02s [ 3/23] python3-numpy-1:2.3.2-1.fc43.s3 100% | 6.2 MiB/s | 7.1 MiB | 00m01s [ 4/23] python3-pip-0:25.1.1-14.fc43.no 100% | 8.9 MiB/s | 2.6 MiB | 00m00s [ 5/23] libgfortran-0:15.1.1-5.fc43.1.s 100% | 2.2 MiB/s | 643.8 KiB | 00m00s [ 6/23] flexiblas-netlib-0:3.4.5-4.fc43 100% | 8.7 MiB/s | 3.8 MiB | 00m00s [ 7/23] python3-numpy-f2py-1:2.3.2-1.fc 100% | 1.5 MiB/s | 461.6 KiB | 00m00s [ 8/23] python3-pooch-0:1.8.2-7.fc43.no 100% | 439.0 KiB/s | 126.9 KiB | 00m00s [ 9/23] python3-scipy-0:1.15.3-4.fc43.s 100% | 5.8 MiB/s | 17.3 MiB | 00m03s [10/23] python3-platformdirs-0:4.2.2-6. 100% | 150.9 KiB/s | 43.5 KiB | 00m00s [11/23] python3-requests-0:2.32.4-3.fc4 100% | 516.6 KiB/s | 150.3 KiB | 00m00s [12/23] meson-0:1.8.3-1.fc43.noarch 100% | 7.7 MiB/s | 2.3 MiB | 00m00s [13/23] patchelf-0:0.18.0-9.fc43.s390x 100% | 451.3 KiB/s | 130.4 KiB | 00m00s [14/23] python3-pyproject-metadata-0:0. 100% | 181.2 KiB/s | 52.6 KiB | 00m00s [15/23] ninja-build-0:1.13.1-2.fc43.s39 100% | 681.0 KiB/s | 196.8 KiB | 00m00s [16/23] flexiblas-0:3.4.5-4.fc43.s390x 100% | 89.3 KiB/s | 25.9 KiB | 00m00s [17/23] flexiblas-openblas-openmp-0:3.4 100% | 59.3 KiB/s | 17.0 KiB | 00m00s [18/23] python3-charset-normalizer-0:3. 100% | 374.6 KiB/s | 108.6 KiB | 00m00s [19/23] python3-idna-0:3.10-4.fc43.noar 100% | 410.0 KiB/s | 118.5 KiB | 00m00s [20/23] python3-urllib3-0:2.4.0-5.fc43. 100% | 947.3 KiB/s | 275.7 KiB | 00m00s [21/23] vim-filesystem-2:9.1.1591-1.fc4 100% | 53.2 KiB/s | 15.3 KiB | 00m00s [22/23] openblas-0:0.3.29-2.fc43.s390x 100% | 146.4 KiB/s | 42.2 KiB | 00m00s [23/23] openblas-openmp-0:0.3.29-2.fc43 100% | 9.8 MiB/s | 4.3 MiB | 00m00s -------------------------------------------------------------------------------- [23/23] Total 100% | 10.0 MiB/s | 44.0 MiB | 00m04s Running transaction [ 1/25] Verify package files 100% | 247.0 B/s | 23.0 B | 00m00s [ 2/25] Prepare transaction 100% | 343.0 B/s | 23.0 B | 00m00s [ 3/25] Installing libgfortran-0:15.1.1 100% | 249.8 MiB/s | 2.5 MiB | 00m00s [ 4/25] Installing python3-idna-0:3.10- 100% | 239.9 MiB/s | 737.1 KiB | 00m00s [ 5/25] Installing python3-urllib3-0:2. 100% | 219.5 MiB/s | 1.1 MiB | 00m00s [ 6/25] Installing openblas-0:0.3.29-2. 100% | 110.8 MiB/s | 113.5 KiB | 00m00s [ 7/25] Installing openblas-openmp-0:0. 100% | 277.2 MiB/s | 15.2 MiB | 00m00s [ 8/25] Installing flexiblas-netlib-0:3 100% | 218.9 MiB/s | 12.5 MiB | 00m00s [ 9/25] Installing flexiblas-0:3.4.5-4. 100% | 0.0 B/s | 51.6 KiB | 00m00s [10/25] Installing flexiblas-openblas-o 100% | 13.0 MiB/s | 39.8 KiB | 00m00s [11/25] Installing python3-numpy-1:2.3. 100% | 261.7 MiB/s | 37.9 MiB | 00m00s [12/25] Installing python3-numpy-f2py-1 100% | 83.5 MiB/s | 2.2 MiB | 00m00s [13/25] Installing vim-filesystem-2:9.1 100% | 4.6 MiB/s | 4.7 KiB | 00m00s [14/25] Installing ninja-build-0:1.13.1 100% | 29.7 MiB/s | 486.8 KiB | 00m00s [15/25] Installing meson-0:1.8.3-1.fc43 100% | 223.2 MiB/s | 13.4 MiB | 00m00s [16/25] Installing python3-charset-norm 100% | 25.4 MiB/s | 364.1 KiB | 00m00s [17/25] Installing python3-requests-0:2 100% | 159.6 MiB/s | 490.2 KiB | 00m00s [18/25] Installing python3-pyproject-me 100% | 194.4 MiB/s | 199.1 KiB | 00m00s [19/25] Installing patchelf-0:0.18.0-9. 100% | 22.0 MiB/s | 292.6 KiB | 00m00s [20/25] Installing python3-platformdirs 100% | 179.7 MiB/s | 184.0 KiB | 00m00s [21/25] Installing python3-pooch-0:1.8. 100% | 90.7 MiB/s | 650.4 KiB | 00m00s [22/25] Installing python3-scipy-0:1.15 100% | 281.7 MiB/s | 72.1 MiB | 00m00s [23/25] Installing python3-meson-python 100% | 81.2 MiB/s | 332.5 KiB | 00m00s [24/25] Installing python3-pip-0:25.1.1 100% | 163.8 MiB/s | 12.8 MiB | 00m00s [25/25] Installing python3-cython-0:3.1 100% | 135.9 MiB/s | 19.0 MiB | 00m00s Warning: skipped OpenPGP checks for 23 packages from repository: http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch Complete! Building target platforms: s390x Building for target s390x setting SOURCE_DATE_EPOCH=1753920000 Executing(%generate_buildrequires): /bin/sh -e /var/tmp/rpm-tmp.ZyN3F0 + 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 -march=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection ' + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection ' + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection -I/usr/lib64/gfortran/modules ' + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection -I/usr/lib64/gfortran/modules ' + VALAFLAGS=-g + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-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.s390x-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 3.1.2) 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.s390x-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: Additional repo http_kojipkgs_fedorapr 100% | 5.4 KiB/s | 3.8 KiB | 00m01s Copr repository 100% | 3.0 KiB/s | 2.2 KiB | 00m01s fedora 100% | 3.8 KiB/s | 6.3 KiB | 00m02s Repositories loaded. Package "gcc-15.1.1-5.fc43.1.s390x" is already installed. Package "gcc-c++-15.1.1-5.fc43.1.s390x" 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.s390x" 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.s390x" is already installed. Package "python3-numpy-1:2.3.2-1.fc43.s390x" 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-8.3.5-7.fc43.noarch" is already installed. Package "python3-scipy-1.15.3-4.fc43.s390x" 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: s390x Building for target s390x setting SOURCE_DATE_EPOCH=1753920000 Executing(%generate_buildrequires): /bin/sh -e /var/tmp/rpm-tmp.6zsopL + 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 -march=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection ' + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection ' + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection -I/usr/lib64/gfortran/modules ' + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection -I/usr/lib64/gfortran/modules ' + VALAFLAGS=-g + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-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.s390x-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 3.1.2) 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.s390x-pyproject-buildrequires + rm -rfv '*.dist-info/' + RPM_EC=0 ++ jobs -p + exit 0 Executing(%build): /bin/sh -e /var/tmp/rpm-tmp.XCPsmJ + 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 -march=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection ' + export CFLAGS + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection ' + export CXXFLAGS + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection -I/usr/lib64/gfortran/modules ' + export FFLAGS + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection -I/usr/lib64/gfortran/modules ' + export FCFLAGS + VALAFLAGS=-g + export VALAFLAGS + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + export RUSTFLAGS + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-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 -march=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection ' + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection ' + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection -I/usr/lib64/gfortran/modules ' + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection -I/usr/lib64/gfortran/modules ' + VALAFLAGS=-g + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-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-o5gtdr6u -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-o5gtdr6u/meson-python-native-file.ini The Meson build system Version: 1.8.3 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-o5gtdr6u 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 3.1.2) Host machine cpu family: s390x Host machine cpu: s390x Compiler for C supports arguments -Wno-unused-but-set-variable: YES Compiler for C supports arguments -Wno-unused-function: YES Compiler for C supports arguments -Wno-conversion: YES Compiler for C supports arguments -Wno-misleading-indentation: YES Library m found: YES Program 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: 113 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-o5gtdr6u/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 [1/254] Copying file sklearn/__init__.py [2/254] Copying file sklearn/utils/__init__.py [3/254] Copying file sklearn/_loss/_loss.pxd [4/254] Copying file sklearn/utils/_cython_blas.pxd [5/254] Copying file sklearn/utils/_heap.pxd [6/254] Copying file sklearn/utils/_openmp_helpers.pxd [7/254] Copying file sklearn/utils/_random.pxd [8/254] Copying file sklearn/utils/_sorting.pxd [9/254] Copying file sklearn/utils/_typedefs.pxd [10/254] Generating sklearn/utils/_weight_vector_pxd with a custom command [11/254] Generating sklearn/utils/_seq_dataset_pxd with a custom command [12/254] Copying file sklearn/utils/_vector_sentinel.pxd [13/254] Copying file sklearn/metrics/_pairwise_distances_reduction/__init__.py [14/254] Generating sklearn/metrics/_dist_metrics_pxd with a custom command [15/254] Copying file sklearn/metrics/__init__.py [16/254] Generating sklearn/metrics/_pairwise_distances_reduction/_base_pxd with a custom command [17/254] Copying file sklearn/metrics/_pairwise_distances_reduction/_classmode.pxd [18/254] Generating sklearn/metrics/_pairwise_distances_reduction/_datasets_pair_pxd with a custom command [19/254] Generating sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors_pxd with a custom command [20/254] Generating sklearn/metrics/_pairwise_distances_reduction/_middle_term_computer_pxd with a custom command [21/254] Generating sklearn/metrics/_pairwise_distances_reduction/_argkmin_pxd with a custom command [22/254] Copying file sklearn/neighbors/__init__.py [23/254] Copying file sklearn/linear_model/__init__.py [24/254] Generating sklearn/neighbors/_binary_tree_pxi with a custom command [25/254] Generating sklearn/utils/_seq_dataset_pyx with a custom command [26/254] Generating sklearn/_loss/_loss_pyx with a custom command [27/254] Copying file sklearn/neighbors/_partition_nodes.pxd [28/254] Generating sklearn/metrics/_pairwise_distances_reduction/_datasets_pair_pyx with a custom command [29/254] Generating sklearn/utils/_weight_vector_pyx with a custom command [30/254] Generating sklearn/metrics/_dist_metrics_pyx with a custom command [31/254] Generating sklearn/metrics/_pairwise_distances_reduction/_base_pyx with a custom command [32/254] Generating sklearn/metrics/_pairwise_distances_reduction/_middle_term_computer_pyx with a custom command [33/254] Generating sklearn/metrics/_pairwise_distances_reduction/_argkmin_pyx with a custom command [34/254] Generating sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors_pyx with a custom command [35/254] Generating sklearn/metrics/_pairwise_distances_reduction/_argkmin_classmode_pyx with a custom command [36/254] Generating sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors_classmode_pyx with a custom command [37/254] Generating sklearn/linear_model/_sag_fast_pyx with a custom command [38/254] Generating sklearn/linear_model/_sgd_fast_pyx with a custom command [39/254] Generating sklearn/neighbors/_ball_tree_pyx with a custom command [40/254] Generating sklearn/neighbors/_kd_tree_pyx with a custom command [41/254] Generating 'sklearn/__check_build/_check_build.cpython-314-s390x-linux-gnu.so.p/_check_build.c' [42/254] Generating 'sklearn/_isotonic.cpython-314-s390x-linux-gnu.so.p/_isotonic.c' [43/254] Generating sklearn/_cyutility.c with a custom command [44/254] Generating 'sklearn/utils/_cython_blas.cpython-314-s390x-linux-gnu.so.p/_cython_blas.c' [45/254] Generating 'sklearn/utils/sparsefuncs_fast.cpython-314-s390x-linux-gnu.so.p/sparsefuncs_fast.c' [46/254] Generating 'sklearn/utils/arrayfuncs.cpython-314-s390x-linux-gnu.so.p/arrayfuncs.c' [47/254] Generating 'sklearn/utils/murmurhash.cpython-314-s390x-linux-gnu.so.p/murmurhash.c' [48/254] Generating 'sklearn/utils/_openmp_helpers.cpython-314-s390x-linux-gnu.so.p/_openmp_helpers.c' [49/254] Generating 'sklearn/utils/_fast_dict.cpython-314-s390x-linux-gnu.so.p/_fast_dict.cpp' [50/254] Generating 'sklearn/utils/_random.cpython-314-s390x-linux-gnu.so.p/_random.c' [51/254] Generating 'sklearn/utils/_typedefs.cpython-314-s390x-linux-gnu.so.p/_typedefs.c' [52/254] Generating 'sklearn/utils/_heap.cpython-314-s390x-linux-gnu.so.p/_heap.c' [53/254] Generating 'sklearn/utils/_sorting.cpython-314-s390x-linux-gnu.so.p/_sorting.c' [54/254] Generating 'sklearn/_loss/_loss.cpython-314-s390x-linux-gnu.so.p/_loss.c' [55/254] Generating 'sklearn/utils/_isfinite.cpython-314-s390x-linux-gnu.so.p/_isfinite.c' [56/254] Generating 'sklearn/utils/_vector_sentinel.cpython-314-s390x-linux-gnu.so.p/_vector_sentinel.cpp' [57/254] Generating 'sklearn/utils/_seq_dataset.cpython-314-s390x-linux-gnu.so.p/_seq_dataset.c' [58/254] Generating 'sklearn/utils/_weight_vector.cpython-314-s390x-linux-gnu.so.p/_weight_vector.c' [59/254] Generating 'sklearn/metrics/_pairwise_fast.cpython-314-s390x-linux-gnu.so.p/_pairwise_fast.c' [60/254] Generating 'sklearn/metrics/_pairwise_distances_reduction/_datasets_pair.cpython-314-s390x-linux-gnu.so.p/_datasets_pair.cpp' [61/254] Generating 'sklearn/metrics/_dist_metrics.cpython-314-s390x-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 [62/254] Generating 'sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-s390x-linux-gnu.so.p/_base.cpp' [63/254] Generating 'sklearn/metrics/_pairwise_distances_reduction/_middle_term_computer.cpython-314-s390x-linux-gnu.so.p/_middle_term_computer.cpp' [64/254] Generating 'sklearn/metrics/_pairwise_distances_reduction/_argkmin.cpython-314-s390x-linux-gnu.so.p/_argkmin.cpp' [65/254] Generating 'sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors.cpython-314-s390x-linux-gnu.so.p/_radius_neighbors.cpp' [66/254] Generating 'sklearn/metrics/_pairwise_distances_reduction/_argkmin_classmode.cpython-314-s390x-linux-gnu.so.p/_argkmin_classmode.cpp' [67/254] Generating 'sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors_classmode.cpython-314-s390x-linux-gnu.so.p/_radius_neighbors_classmode.cpp' [68/254] Generating 'sklearn/metrics/cluster/_expected_mutual_info_fast.cpython-314-s390x-linux-gnu.so.p/_expected_mutual_info_fast.c' [69/254] Generating 'sklearn/cluster/_dbscan_inner.cpython-314-s390x-linux-gnu.so.p/_dbscan_inner.cpp' [70/254] Generating 'sklearn/cluster/_hierarchical_fast.cpython-314-s390x-linux-gnu.so.p/_hierarchical_fast.cpp' [71/254] Generating 'sklearn/cluster/_k_means_common.cpython-314-s390x-linux-gnu.so.p/_k_means_common.c' [72/254] Generating 'sklearn/cluster/_k_means_lloyd.cpython-314-s390x-linux-gnu.so.p/_k_means_lloyd.c' [73/254] Generating 'sklearn/cluster/_k_means_minibatch.cpython-314-s390x-linux-gnu.so.p/_k_means_minibatch.c' [74/254] Generating 'sklearn/cluster/_hdbscan/_linkage.cpython-314-s390x-linux-gnu.so.p/_linkage.c' [75/254] Generating 'sklearn/cluster/_k_means_elkan.cpython-314-s390x-linux-gnu.so.p/_k_means_elkan.c' [76/254] Generating 'sklearn/cluster/_hdbscan/_tree.cpython-314-s390x-linux-gnu.so.p/_tree.c' [77/254] Generating 'sklearn/cluster/_hdbscan/_reachability.cpython-314-s390x-linux-gnu.so.p/_reachability.c' [78/254] Generating 'sklearn/datasets/_svmlight_format_fast.cpython-314-s390x-linux-gnu.so.p/_svmlight_format_fast.c' [79/254] Generating 'sklearn/decomposition/_online_lda_fast.cpython-314-s390x-linux-gnu.so.p/_online_lda_fast.c' [80/254] Generating 'sklearn/decomposition/_cdnmf_fast.cpython-314-s390x-linux-gnu.so.p/_cdnmf_fast.c' [81/254] Generating 'sklearn/ensemble/_hist_gradient_boosting/_gradient_boosting.cpython-314-s390x-linux-gnu.so.p/_gradient_boosting.c' [82/254] Generating 'sklearn/ensemble/_gradient_boosting.cpython-314-s390x-linux-gnu.so.p/_gradient_boosting.c' [83/254] Generating 'sklearn/ensemble/_hist_gradient_boosting/histogram.cpython-314-s390x-linux-gnu.so.p/histogram.c' [84/254] Generating 'sklearn/ensemble/_hist_gradient_boosting/splitting.cpython-314-s390x-linux-gnu.so.p/splitting.c' [85/254] Generating 'sklearn/ensemble/_hist_gradient_boosting/_binning.cpython-314-s390x-linux-gnu.so.p/_binning.c' [86/254] Generating 'sklearn/ensemble/_hist_gradient_boosting/_predictor.cpython-314-s390x-linux-gnu.so.p/_predictor.c' [87/254] Generating 'sklearn/ensemble/_hist_gradient_boosting/_bitset.cpython-314-s390x-linux-gnu.so.p/_bitset.c' [88/254] Generating 'sklearn/ensemble/_hist_gradient_boosting/common.cpython-314-s390x-linux-gnu.so.p/common.c' [89/254] Generating 'sklearn/feature_extraction/_hashing_fast.cpython-314-s390x-linux-gnu.so.p/_hashing_fast.cpp' [90/254] Generating 'sklearn/linear_model/_sgd_fast.cpython-314-s390x-linux-gnu.so.p/_sgd_fast.c' [91/254] Generating 'sklearn/linear_model/_cd_fast.cpython-314-s390x-linux-gnu.so.p/_cd_fast.c' [92/254] Generating 'sklearn/manifold/_utils.cpython-314-s390x-linux-gnu.so.p/_utils.c' [93/254] Generating 'sklearn/linear_model/_sag_fast.cpython-314-s390x-linux-gnu.so.p/_sag_fast.c' [94/254] Generating 'sklearn/manifold/_barnes_hut_tsne.cpython-314-s390x-linux-gnu.so.p/_barnes_hut_tsne.c' [95/254] Generating 'sklearn/neighbors/_partition_nodes.cpython-314-s390x-linux-gnu.so.p/_partition_nodes.cpp' [96/254] Generating 'sklearn/neighbors/_quad_tree.cpython-314-s390x-linux-gnu.so.p/_quad_tree.c' [97/254] Generating 'sklearn/neighbors/_ball_tree.cpython-314-s390x-linux-gnu.so.p/_ball_tree.c' warning: sklearn/neighbors/_binary_tree.pxi:1092:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:1958:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2053:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2222:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2345:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2402:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2403:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2728:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:3594:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:3689:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:3858:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:3981:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:4038:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:4039:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_ball_tree.pyx:105:4: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_ball_tree.pyx:107:4: Assigning to 'float64_t *' from 'const float64_t *' discards const qualifier warning: sklearn/neighbors/_ball_tree.pyx:308:4: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_ball_tree.pyx:310:4: Assigning to 'float32_t *' from 'const float32_t *' discards const qualifier [98/254] Generating 'sklearn/neighbors/_kd_tree.cpython-314-s390x-linux-gnu.so.p/_kd_tree.c' warning: sklearn/neighbors/_binary_tree.pxi:1092:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:1958:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2053:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2222:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2345:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2402:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2403:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2728:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:3594:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:3689:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:3858:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:3981:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:4038:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:4039:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_kd_tree.pyx:74:4: Assigning to 'float64_t *' from 'const float64_t *' discards const qualifier warning: sklearn/neighbors/_kd_tree.pyx:75:4: Assigning to 'float64_t *' from 'const float64_t *' discards const qualifier warning: sklearn/neighbors/_kd_tree.pyx:342:4: Assigning to 'float32_t *' from 'const float32_t *' discards const qualifier warning: sklearn/neighbors/_kd_tree.pyx:343:4: Assigning to 'float32_t *' from 'const float32_t *' discards const qualifier [99/254] Generating 'sklearn/svm/_newrand.cpython-314-s390x-linux-gnu.so.p/_newrand.cpp' [100/254] Generating 'sklearn/preprocessing/_target_encoder_fast.cpython-314-s390x-linux-gnu.so.p/_target_encoder_fast.cpp' [101/254] Generating 'sklearn/preprocessing/_csr_polynomial_expansion.cpython-314-s390x-linux-gnu.so.p/_csr_polynomial_expansion.c' [102/254] Generating 'sklearn/svm/_libsvm_sparse.cpython-314-s390x-linux-gnu.so.p/_libsvm_sparse.c' [103/254] Generating 'sklearn/svm/_libsvm.cpython-314-s390x-linux-gnu.so.p/_libsvm.c' [104/254] Compiling C++ object sklearn/svm/libliblinear-skl.a.p/src_liblinear_tron.cpp.o [105/254] Generating 'sklearn/svm/_liblinear.cpython-314-s390x-linux-gnu.so.p/_liblinear.c' [106/254] Compiling C++ object sklearn/svm/libliblinear-skl.a.p/src_liblinear_linear.cpp.o [107/254] Generating 'sklearn/tree/_tree.cpython-314-s390x-linux-gnu.so.p/_tree.cpp' [108/254] 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; | ^~ [109/254] Generating 'sklearn/tree/_splitter.cpython-314-s390x-linux-gnu.so.p/_splitter.c' [110/254] Generating 'sklearn/tree/_partitioner.cpython-314-s390x-linux-gnu.so.p/_partitioner.c' [111/254] Generating 'sklearn/tree/_utils.cpython-314-s390x-linux-gnu.so.p/_utils.c' [112/254] Generating 'sklearn/tree/_criterion.cpython-314-s390x-linux-gnu.so.p/_criterion.c' [113/254] Compiling C object sklearn/__check_build/_check_build.cpython-314-s390x-linux-gnu.so.p/meson-generated__check_build.c.o [114/254] Compiling C object sklearn/_cyutility.cpython-314-s390x-linux-gnu.so.p/meson-generated_..__cyutility.c.o [115/254] Compiling C object sklearn/_isotonic.cpython-314-s390x-linux-gnu.so.p/meson-generated__isotonic.c.o [116/254] Compiling C object sklearn/utils/_cython_blas.cpython-314-s390x-linux-gnu.so.p/meson-generated__cython_blas.c.o [117/254] Compiling C object sklearn/utils/arrayfuncs.cpython-314-s390x-linux-gnu.so.p/meson-generated_arrayfuncs.c.o [118/254] Compiling C object sklearn/utils/murmurhash.cpython-314-s390x-linux-gnu.so.p/meson-generated_murmurhash.c.o [119/254] Compiling C++ object sklearn/utils/murmurhash.cpython-314-s390x-linux-gnu.so.p/src_MurmurHash3.cpp.o [120/254] Compiling C object sklearn/utils/sparsefuncs_fast.cpython-314-s390x-linux-gnu.so.p/meson-generated_sparsefuncs_fast.c.o [121/254] Compiling C++ object sklearn/utils/_fast_dict.cpython-314-s390x-linux-gnu.so.p/meson-generated__fast_dict.cpp.o [122/254] Compiling C object sklearn/utils/_openmp_helpers.cpython-314-s390x-linux-gnu.so.p/meson-generated__openmp_helpers.c.o [123/254] Compiling C object sklearn/utils/_typedefs.cpython-314-s390x-linux-gnu.so.p/meson-generated__typedefs.c.o [124/254] Compiling C object sklearn/utils/_heap.cpython-314-s390x-linux-gnu.so.p/meson-generated__heap.c.o [125/254] Compiling C object sklearn/utils/_sorting.cpython-314-s390x-linux-gnu.so.p/meson-generated__sorting.c.o [126/254] Compiling C object sklearn/utils/_random.cpython-314-s390x-linux-gnu.so.p/meson-generated__random.c.o [127/254] Compiling C++ object sklearn/utils/_vector_sentinel.cpython-314-s390x-linux-gnu.so.p/meson-generated__vector_sentinel.cpp.o [128/254] Compiling C object sklearn/utils/_isfinite.cpython-314-s390x-linux-gnu.so.p/meson-generated__isfinite.c.o [129/254] Compiling C object sklearn/utils/_weight_vector.cpython-314-s390x-linux-gnu.so.p/meson-generated__weight_vector.c.o [130/254] Compiling C object sklearn/utils/_seq_dataset.cpython-314-s390x-linux-gnu.so.p/meson-generated__seq_dataset.c.o [131/254] Compiling C object sklearn/metrics/_pairwise_fast.cpython-314-s390x-linux-gnu.so.p/meson-generated__pairwise_fast.c.o [132/254] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_datasets_pair.cpython-314-s390x-linux-gnu.so.p/meson-generated__datasets_pair.cpp.o [133/254] Compiling C object sklearn/metrics/_dist_metrics.cpython-314-s390x-linux-gnu.so.p/meson-generated__dist_metrics.c.o sklearn/metrics/_dist_metrics.cpython-314-s390x-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-s390x-linux-gnu.so.p/_dist_metrics.c:13935:29: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 13935 | __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_20 * __pyx_v_Y_data.strides[0]) )) + __pyx_t_21)) )))) + (__pyx_v_i2 * __pyx_v_n_features)); | ^ sklearn/metrics/_dist_metrics.cpython-314-s390x-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-s390x-linux-gnu.so.p/_dist_metrics.c:14710:27: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 14710 | __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_17 * __pyx_v_X_data.strides[0]) )) + __pyx_t_18)) )))) + (__pyx_v_i1 * __pyx_v_n_features)); | ^ sklearn/metrics/_dist_metrics.cpython-314-s390x-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-s390x-linux-gnu.so.p/_dist_metrics.c:33437:29: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 33437 | __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_20 * __pyx_v_Y_data.strides[0]) )) + __pyx_t_21)) )))) + (__pyx_v_i2 * __pyx_v_n_features)); | ^ sklearn/metrics/_dist_metrics.cpython-314-s390x-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-s390x-linux-gnu.so.p/_dist_metrics.c:34212:27: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 34212 | __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_17 * __pyx_v_X_data.strides[0]) )) + __pyx_t_18)) )))) + (__pyx_v_i1 * __pyx_v_n_features)); | ^ [134/254] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-s390x-linux-gnu.so.p/meson-generated__base.cpp.o [135/254] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_middle_term_computer.cpython-314-s390x-linux-gnu.so.p/meson-generated__middle_term_computer.cpp.o [136/254] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_argkmin.cpython-314-s390x-linux-gnu.so.p/meson-generated__argkmin.cpp.o sklearn/metrics/_pairwise_distances_reduction/_argkmin.cpython-314-s390x-linux-gnu.so.p/_argkmin.cpp: In function ‘__pyx_f_7sklearn_7metrics_29_pairwise_distances_reduction_8_argkmin_9ArgKmin64_compute_exact_distances(__pyx_obj_7sklearn_7metrics_29_pairwise_distances_reduction_8_argkmin_ArgKmin64*) [clone ._omp_fn.0]’: sklearn/metrics/_pairwise_distances_reduction/_argkmin.cpython-314-s390x-linux-gnu.so.p/_argkmin.cpp:6738:7: warning: ‘__pyx_clineno’ may be used uninitialized [-Wmaybe-uninitialized] 6738 | int __pyx_clineno = 0; | ^~~~~~~~~~~~~ sklearn/metrics/_pairwise_distances_reduction/_argkmin.cpython-314-s390x-linux-gnu.so.p/_argkmin.cpp: In function ‘__pyx_f_7sklearn_7metrics_29_pairwise_distances_reduction_8_argkmin_9ArgKmin32_compute_exact_distances(__pyx_obj_7sklearn_7metrics_29_pairwise_distances_reduction_8_argkmin_ArgKmin32*) [clone ._omp_fn.0]’: sklearn/metrics/_pairwise_distances_reduction/_argkmin.cpython-314-s390x-linux-gnu.so.p/_argkmin.cpp:11251:7: warning: ‘__pyx_clineno’ may be used uninitialized [-Wmaybe-uninitialized] 11251 | int __pyx_clineno = 0; | ^~~~~~~~~~~~~ [137/254] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_argkmin_classmode.cpython-314-s390x-linux-gnu.so.p/meson-generated__argkmin_classmode.cpp.o [138/254] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors.cpython-314-s390x-linux-gnu.so.p/meson-generated__radius_neighbors.cpp.o sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors.cpython-314-s390x-linux-gnu.so.p/_radius_neighbors.cpp: In function ‘__pyx_f_7sklearn_7metrics_29_pairwise_distances_reduction_17_radius_neighbors_17RadiusNeighbors64_compute_exact_distances(__pyx_obj_7sklearn_7metrics_29_pairwise_distances_reduction_17_radius_neighbors_RadiusNeighbors64*) [clone ._omp_fn.0]’: sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors.cpython-314-s390x-linux-gnu.so.p/_radius_neighbors.cpp:9324:7: warning: ‘__pyx_clineno’ may be used uninitialized [-Wmaybe-uninitialized] 9324 | int __pyx_clineno = 0; | ^~~~~~~~~~~~~ sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors.cpython-314-s390x-linux-gnu.so.p/_radius_neighbors.cpp: In function ‘__pyx_f_7sklearn_7metrics_29_pairwise_distances_reduction_17_radius_neighbors_17RadiusNeighbors32_compute_exact_distances(__pyx_obj_7sklearn_7metrics_29_pairwise_distances_reduction_17_radius_neighbors_RadiusNeighbors32*) [clone ._omp_fn.0]’: sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors.cpython-314-s390x-linux-gnu.so.p/_radius_neighbors.cpp:13617:7: warning: ‘__pyx_clineno’ may be used uninitialized [-Wmaybe-uninitialized] 13617 | int __pyx_clineno = 0; | ^~~~~~~~~~~~~ [139/254] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors_classmode.cpython-314-s390x-linux-gnu.so.p/meson-generated__radius_neighbors_classmode.cpp.o [140/254] Compiling C object sklearn/metrics/cluster/_expected_mutual_info_fast.cpython-314-s390x-linux-gnu.so.p/meson-generated__expected_mutual_info_fast.c.o [141/254] Compiling C++ object sklearn/cluster/_dbscan_inner.cpython-314-s390x-linux-gnu.so.p/meson-generated__dbscan_inner.cpp.o [142/254] Compiling C object sklearn/_loss/_loss.cpython-314-s390x-linux-gnu.so.p/meson-generated__loss.c.o [143/254] Compiling C++ object sklearn/cluster/_hierarchical_fast.cpython-314-s390x-linux-gnu.so.p/meson-generated__hierarchical_fast.cpp.o [144/254] Compiling C object sklearn/cluster/_k_means_lloyd.cpython-314-s390x-linux-gnu.so.p/meson-generated__k_means_lloyd.c.o [145/254] Compiling C object sklearn/cluster/_k_means_minibatch.cpython-314-s390x-linux-gnu.so.p/meson-generated__k_means_minibatch.c.o [146/254] Compiling C object sklearn/cluster/_k_means_common.cpython-314-s390x-linux-gnu.so.p/meson-generated__k_means_common.c.o sklearn/cluster/_k_means_common.cpython-314-s390x-linux-gnu.so.p/_k_means_common.c: In function ‘__pyx_fuse_1__pyx_f_7sklearn_7cluster_15_k_means_common__inertia_sparse._omp_fn.0’: sklearn/cluster/_k_means_common.cpython-314-s390x-linux-gnu.so.p/_k_means_common.c:9904:138: warning: ‘__pyx_clineno’ may be used uninitialized [-Wmaybe-uninitialized] 9904 | __pyx_parallel_filename = __pyx_filename; __pyx_parallel_lineno = __pyx_lineno; __pyx_parallel_clineno = __pyx_clineno; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ sklearn/cluster/_k_means_common.cpython-314-s390x-linux-gnu.so.p/_k_means_common.c:9563:7: note: ‘__pyx_clineno’ was declared here 9563 | int __pyx_clineno = 0; | ^~~~~~~~~~~~~ sklearn/cluster/_k_means_common.cpython-314-s390x-linux-gnu.so.p/_k_means_common.c: In function ‘__pyx_fuse_0__pyx_f_7sklearn_7cluster_15_k_means_common__inertia_sparse._omp_fn.0’: sklearn/cluster/_k_means_common.cpython-314-s390x-linux-gnu.so.p/_k_means_common.c:9232:138: warning: ‘__pyx_clineno’ may be used uninitialized [-Wmaybe-uninitialized] 9232 | __pyx_parallel_filename = __pyx_filename; __pyx_parallel_lineno = __pyx_lineno; __pyx_parallel_clineno = __pyx_clineno; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ sklearn/cluster/_k_means_common.cpython-314-s390x-linux-gnu.so.p/_k_means_common.c:8891:7: note: ‘__pyx_clineno’ was declared here 8891 | int __pyx_clineno = 0; | ^~~~~~~~~~~~~ [147/254] Compiling C object sklearn/cluster/_hdbscan/_linkage.cpython-314-s390x-linux-gnu.so.p/meson-generated__linkage.c.o [148/254] Compiling C object sklearn/cluster/_k_means_elkan.cpython-314-s390x-linux-gnu.so.p/meson-generated__k_means_elkan.c.o sklearn/cluster/_k_means_elkan.cpython-314-s390x-linux-gnu.so.p/_k_means_elkan.c: In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_elkan_14init_bounds_sparse._omp_fn.0’: sklearn/cluster/_k_means_elkan.cpython-314-s390x-linux-gnu.so.p/_k_means_elkan.c:6583:138: warning: ‘__pyx_clineno’ may be used uninitialized [-Wmaybe-uninitialized] 6583 | __pyx_parallel_filename = __pyx_filename; __pyx_parallel_lineno = __pyx_lineno; __pyx_parallel_clineno = __pyx_clineno; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ sklearn/cluster/_k_means_elkan.cpython-314-s390x-linux-gnu.so.p/_k_means_elkan.c:6071:7: note: ‘__pyx_clineno’ was declared here 6071 | int __pyx_clineno = 0; | ^~~~~~~~~~~~~ sklearn/cluster/_k_means_elkan.cpython-314-s390x-linux-gnu.so.p/_k_means_elkan.c: In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_elkan_16init_bounds_sparse._omp_fn.0’: sklearn/cluster/_k_means_elkan.cpython-314-s390x-linux-gnu.so.p/_k_means_elkan.c:7394:138: warning: ‘__pyx_clineno’ may be used uninitialized [-Wmaybe-uninitialized] 7394 | __pyx_parallel_filename = __pyx_filename; __pyx_parallel_lineno = __pyx_lineno; __pyx_parallel_clineno = __pyx_clineno; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ sklearn/cluster/_k_means_elkan.cpython-314-s390x-linux-gnu.so.p/_k_means_elkan.c:6882:7: note: ‘__pyx_clineno’ was declared here 6882 | int __pyx_clineno = 0; | ^~~~~~~~~~~~~ [149/254] Compiling C object sklearn/cluster/_hdbscan/_reachability.cpython-314-s390x-linux-gnu.so.p/meson-generated__reachability.c.o [150/254] Compiling C object sklearn/cluster/_hdbscan/_tree.cpython-314-s390x-linux-gnu.so.p/meson-generated__tree.c.o [151/254] Compiling C object sklearn/decomposition/_online_lda_fast.cpython-314-s390x-linux-gnu.so.p/meson-generated__online_lda_fast.c.o [152/254] Compiling C object sklearn/decomposition/_cdnmf_fast.cpython-314-s390x-linux-gnu.so.p/meson-generated__cdnmf_fast.c.o [153/254] Compiling C object sklearn/ensemble/_gradient_boosting.cpython-314-s390x-linux-gnu.so.p/meson-generated__gradient_boosting.c.o [154/254] Compiling C object sklearn/ensemble/_hist_gradient_boosting/_gradient_boosting.cpython-314-s390x-linux-gnu.so.p/meson-generated__gradient_boosting.c.o [155/254] Compiling C object sklearn/datasets/_svmlight_format_fast.cpython-314-s390x-linux-gnu.so.p/meson-generated__svmlight_format_fast.c.o [156/254] Compiling C object sklearn/ensemble/_hist_gradient_boosting/histogram.cpython-314-s390x-linux-gnu.so.p/meson-generated_histogram.c.o [157/254] Compiling C object sklearn/ensemble/_hist_gradient_boosting/_binning.cpython-314-s390x-linux-gnu.so.p/meson-generated__binning.c.o [158/254] Compiling C object sklearn/ensemble/_hist_gradient_boosting/splitting.cpython-314-s390x-linux-gnu.so.p/meson-generated_splitting.c.o [159/254] Compiling C object sklearn/ensemble/_hist_gradient_boosting/_bitset.cpython-314-s390x-linux-gnu.so.p/meson-generated__bitset.c.o [160/254] Compiling C object sklearn/ensemble/_hist_gradient_boosting/_predictor.cpython-314-s390x-linux-gnu.so.p/meson-generated__predictor.c.o [161/254] Compiling C object sklearn/ensemble/_hist_gradient_boosting/common.cpython-314-s390x-linux-gnu.so.p/meson-generated_common.c.o [162/254] Compiling C++ object sklearn/feature_extraction/_hashing_fast.cpython-314-s390x-linux-gnu.so.p/meson-generated__hashing_fast.cpp.o [163/254] Compiling C object sklearn/linear_model/_sgd_fast.cpython-314-s390x-linux-gnu.so.p/meson-generated__sgd_fast.c.o [164/254] Compiling C object sklearn/linear_model/_sag_fast.cpython-314-s390x-linux-gnu.so.p/meson-generated__sag_fast.c.o [165/254] Compiling C object sklearn/manifold/_utils.cpython-314-s390x-linux-gnu.so.p/meson-generated__utils.c.o [166/254] Compiling C object sklearn/manifold/_barnes_hut_tsne.cpython-314-s390x-linux-gnu.so.p/meson-generated__barnes_hut_tsne.c.o [167/254] Compiling C object sklearn/linear_model/_cd_fast.cpython-314-s390x-linux-gnu.so.p/meson-generated__cd_fast.c.o [168/254] Compiling C++ object sklearn/neighbors/_partition_nodes.cpython-314-s390x-linux-gnu.so.p/meson-generated__partition_nodes.cpp.o [169/254] Compiling C object sklearn/neighbors/_quad_tree.cpython-314-s390x-linux-gnu.so.p/meson-generated__quad_tree.c.o [170/254] Compiling C object sklearn/neighbors/_ball_tree.cpython-314-s390x-linux-gnu.so.p/meson-generated__ball_tree.c.o sklearn/neighbors/_ball_tree.cpython-314-s390x-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-s390x-linux-gnu.so.p/_ball_tree.c:16923:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 16923 | __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-s390x-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-s390x-linux-gnu.so.p/_ball_tree.c:24328:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 24328 | __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-s390x-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-s390x-linux-gnu.so.p/_ball_tree.c:24877:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 24877 | __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-s390x-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-s390x-linux-gnu.so.p/_ball_tree.c:25782:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 25782 | __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-s390x-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-s390x-linux-gnu.so.p/_ball_tree.c:26392:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 26392 | __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-s390x-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-s390x-linux-gnu.so.p/_ball_tree.c:26795:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 26795 | __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-s390x-linux-gnu.so.p/_ball_tree.c:26805:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 26805 | __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-s390x-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-s390x-linux-gnu.so.p/_ball_tree.c:30868:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 30868 | __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-s390x-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-s390x-linux-gnu.so.p/_ball_tree.c:38282:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 38282 | __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-s390x-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-s390x-linux-gnu.so.p/_ball_tree.c:38831:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 38831 | __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-s390x-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-s390x-linux-gnu.so.p/_ball_tree.c:39736:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 39736 | __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-s390x-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-s390x-linux-gnu.so.p/_ball_tree.c:40346:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 40346 | __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-s390x-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-s390x-linux-gnu.so.p/_ball_tree.c:40749:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 40749 | __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-s390x-linux-gnu.so.p/_ball_tree.c:40759:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 40759 | __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-s390x-linux-gnu.so.p/_ball_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_init_node64’: sklearn/neighbors/_ball_tree.cpython-314-s390x-linux-gnu.so.p/_ball_tree.c:42645:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 42645 | __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-s390x-linux-gnu.so.p/_ball_tree.c:42668:20: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 42668 | __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-s390x-linux-gnu.so.p/_ball_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_init_node32’: sklearn/neighbors/_ball_tree.cpython-314-s390x-linux-gnu.so.p/_ball_tree.c:44018:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 44018 | __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-s390x-linux-gnu.so.p/_ball_tree.c:44041:20: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 44041 | __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_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-s390x-linux-gnu.so.p/_ball_tree.c:26104:19: sklearn/neighbors/_ball_tree.cpython-314-s390x-linux-gnu.so.p/_ball_tree.c:42437:52: warning: ‘__pyx_v_sample_weight’ may be used uninitialized [-Wmaybe-uninitialized] 42437 | __pyx_v_N = (__pyx_v_N + (__pyx_v_sample_weight[(__pyx_v_idx_array[__pyx_v_i])])); | ^ sklearn/neighbors/_ball_tree.cpython-314-s390x-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-s390x-linux-gnu.so.p/_ball_tree.c:25682:55: note: ‘__pyx_v_sample_weight’ was declared here 25682 | __pyx_t_7sklearn_5utils_9_typedefs_float64_t const *__pyx_v_sample_weight; | ^~~~~~~~~~~~~~~~~~~~~ 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-s390x-linux-gnu.so.p/_ball_tree.c:40058:19: sklearn/neighbors/_ball_tree.cpython-314-s390x-linux-gnu.so.p/_ball_tree.c:42378:52: warning: ‘__pyx_v_sample_weight’ may be used uninitialized [-Wmaybe-uninitialized] 42378 | __pyx_v_N = (__pyx_v_N + (__pyx_v_sample_weight[(__pyx_v_idx_array[__pyx_v_i])])); | ^ sklearn/neighbors/_ball_tree.cpython-314-s390x-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-s390x-linux-gnu.so.p/_ball_tree.c:39636:55: note: ‘__pyx_v_sample_weight’ was declared here 39636 | __pyx_t_7sklearn_5utils_9_typedefs_float32_t const *__pyx_v_sample_weight; | ^~~~~~~~~~~~~~~~~~~~~ [171/254] Compiling C object sklearn/neighbors/_kd_tree.cpython-314-s390x-linux-gnu.so.p/meson-generated__kd_tree.c.o sklearn/neighbors/_kd_tree.cpython-314-s390x-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-s390x-linux-gnu.so.p/_kd_tree.c:16877:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 16877 | __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-s390x-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-s390x-linux-gnu.so.p/_kd_tree.c:24282:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 24282 | __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-s390x-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-s390x-linux-gnu.so.p/_kd_tree.c:24831:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 24831 | __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-s390x-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-s390x-linux-gnu.so.p/_kd_tree.c:25736:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 25736 | __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-s390x-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-s390x-linux-gnu.so.p/_kd_tree.c:26346:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 26346 | __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-s390x-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-s390x-linux-gnu.so.p/_kd_tree.c:26749:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 26749 | __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-s390x-linux-gnu.so.p/_kd_tree.c:26759:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 26759 | __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-s390x-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-s390x-linux-gnu.so.p/_kd_tree.c:30822:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 30822 | __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-s390x-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-s390x-linux-gnu.so.p/_kd_tree.c:38236:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 38236 | __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-s390x-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-s390x-linux-gnu.so.p/_kd_tree.c:38785:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 38785 | __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-s390x-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-s390x-linux-gnu.so.p/_kd_tree.c:39690:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 39690 | __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-s390x-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-s390x-linux-gnu.so.p/_kd_tree.c:40300:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 40300 | __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-s390x-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-s390x-linux-gnu.so.p/_kd_tree.c:40703:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 40703 | __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-s390x-linux-gnu.so.p/_kd_tree.c:40713:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 40713 | __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-s390x-linux-gnu.so.p/_kd_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_init_node64’: sklearn/neighbors/_kd_tree.cpython-314-s390x-linux-gnu.so.p/_kd_tree.c:42597:24: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 42597 | __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-s390x-linux-gnu.so.p/_kd_tree.c:42609:24: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 42609 | __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-s390x-linux-gnu.so.p/_kd_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_init_node32’: sklearn/neighbors/_kd_tree.cpython-314-s390x-linux-gnu.so.p/_kd_tree.c:44424:24: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 44424 | __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-s390x-linux-gnu.so.p/_kd_tree.c:44436:24: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 44436 | __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-s390x-linux-gnu.so.p/_kd_tree.c:40012:19: sklearn/neighbors/_kd_tree.cpython-314-s390x-linux-gnu.so.p/_kd_tree.c:42332:52: warning: ‘__pyx_v_sample_weight’ may be used uninitialized [-Wmaybe-uninitialized] 42332 | __pyx_v_N = (__pyx_v_N + (__pyx_v_sample_weight[(__pyx_v_idx_array[__pyx_v_i])])); | ^ sklearn/neighbors/_kd_tree.cpython-314-s390x-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-s390x-linux-gnu.so.p/_kd_tree.c:39590:55: note: ‘__pyx_v_sample_weight’ was declared here 39590 | __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-s390x-linux-gnu.so.p/_kd_tree.c:26058:19: sklearn/neighbors/_kd_tree.cpython-314-s390x-linux-gnu.so.p/_kd_tree.c:42391:52: warning: ‘__pyx_v_sample_weight’ may be used uninitialized [-Wmaybe-uninitialized] 42391 | __pyx_v_N = (__pyx_v_N + (__pyx_v_sample_weight[(__pyx_v_idx_array[__pyx_v_i])])); | ^ sklearn/neighbors/_kd_tree.cpython-314-s390x-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-s390x-linux-gnu.so.p/_kd_tree.c:25636:55: note: ‘__pyx_v_sample_weight’ was declared here 25636 | __pyx_t_7sklearn_5utils_9_typedefs_float64_t const *__pyx_v_sample_weight; | ^~~~~~~~~~~~~~~~~~~~~ [172/254] Compiling C++ object sklearn/svm/_newrand.cpython-314-s390x-linux-gnu.so.p/meson-generated__newrand.cpp.o [173/254] Linking static target sklearn/svm/liblibsvm-skl.a [174/254] Compiling C object sklearn/preprocessing/_csr_polynomial_expansion.cpython-314-s390x-linux-gnu.so.p/meson-generated__csr_polynomial_expansion.c.o [175/254] Compiling C object sklearn/svm/_libsvm_sparse.cpython-314-s390x-linux-gnu.so.p/meson-generated__libsvm_sparse.c.o [176/254] Linking static target sklearn/svm/libliblinear-skl.a [177/254] Compiling C object sklearn/svm/_libsvm.cpython-314-s390x-linux-gnu.so.p/meson-generated__libsvm.c.o [178/254] Compiling C object sklearn/svm/_liblinear.cpython-314-s390x-linux-gnu.so.p/meson-generated__liblinear.c.o [179/254] Compiling C object sklearn/tree/_splitter.cpython-314-s390x-linux-gnu.so.p/meson-generated__splitter.c.o [180/254] Compiling C++ object sklearn/preprocessing/_target_encoder_fast.cpython-314-s390x-linux-gnu.so.p/meson-generated__target_encoder_fast.cpp.o [181/254] Compiling C object sklearn/tree/_partitioner.cpython-314-s390x-linux-gnu.so.p/meson-generated__partitioner.c.o [182/254] Compiling C object sklearn/tree/_criterion.cpython-314-s390x-linux-gnu.so.p/meson-generated__criterion.c.o [183/254] Compiling C object sklearn/tree/_utils.cpython-314-s390x-linux-gnu.so.p/meson-generated__utils.c.o [184/254] Generating sklearn/write_built_with_meson_file with a custom command [185/254] Linking target sklearn/_cyutility.cpython-314-s390x-linux-gnu.so [186/254] Linking target sklearn/__check_build/_check_build.cpython-314-s390x-linux-gnu.so [187/254] Compiling C++ object sklearn/tree/_tree.cpython-314-s390x-linux-gnu.so.p/meson-generated__tree.cpp.o In file included from /usr/include/c++/15/s390x-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-s390x-linux-gnu.so.p/_tree.cpp:1184: 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-s390x-linux-gnu.so.p/_tree.cpp:27790:44: /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-s390x-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-s390x-linux-gnu.so.p/_tree.cpp:26825:45: note: ‘__pyx_v_pruned_branch_node_idx’ was declared here 26825 | __pyx_t_7sklearn_5utils_9_typedefs_intp_t __pyx_v_pruned_branch_node_idx; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [188/254] Linking target sklearn/_isotonic.cpython-314-s390x-linux-gnu.so [189/254] Linking target sklearn/utils/_cython_blas.cpython-314-s390x-linux-gnu.so [190/254] Linking target sklearn/utils/arrayfuncs.cpython-314-s390x-linux-gnu.so [191/254] Linking target sklearn/utils/sparsefuncs_fast.cpython-314-s390x-linux-gnu.so [192/254] Linking target sklearn/utils/murmurhash.cpython-314-s390x-linux-gnu.so [193/254] Linking target sklearn/utils/_openmp_helpers.cpython-314-s390x-linux-gnu.so 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sklearn/metrics/cluster/_expected_mutual_info_fast.cpython-314-s390x-linux-gnu.so [215/254] Linking target sklearn/cluster/_hierarchical_fast.cpython-314-s390x-linux-gnu.so [216/254] Linking target sklearn/cluster/_k_means_lloyd.cpython-314-s390x-linux-gnu.so [217/254] Linking target sklearn/cluster/_k_means_common.cpython-314-s390x-linux-gnu.so [218/254] Linking target sklearn/cluster/_k_means_minibatch.cpython-314-s390x-linux-gnu.so [219/254] Linking target sklearn/cluster/_k_means_elkan.cpython-314-s390x-linux-gnu.so [220/254] Linking target sklearn/cluster/_hdbscan/_linkage.cpython-314-s390x-linux-gnu.so [221/254] Linking target sklearn/cluster/_hdbscan/_reachability.cpython-314-s390x-linux-gnu.so [222/254] Linking target sklearn/cluster/_hdbscan/_tree.cpython-314-s390x-linux-gnu.so [223/254] Linking target sklearn/decomposition/_online_lda_fast.cpython-314-s390x-linux-gnu.so [224/254] Linking target sklearn/decomposition/_cdnmf_fast.cpython-314-s390x-linux-gnu.so [225/254] Linking target sklearn/datasets/_svmlight_format_fast.cpython-314-s390x-linux-gnu.so [226/254] Linking target sklearn/ensemble/_hist_gradient_boosting/_gradient_boosting.cpython-314-s390x-linux-gnu.so [227/254] Linking target sklearn/ensemble/_gradient_boosting.cpython-314-s390x-linux-gnu.so [228/254] Linking target sklearn/ensemble/_hist_gradient_boosting/_binning.cpython-314-s390x-linux-gnu.so [229/254] Linking target sklearn/ensemble/_hist_gradient_boosting/histogram.cpython-314-s390x-linux-gnu.so [230/254] Linking target sklearn/ensemble/_hist_gradient_boosting/splitting.cpython-314-s390x-linux-gnu.so [231/254] Linking target sklearn/ensemble/_hist_gradient_boosting/_bitset.cpython-314-s390x-linux-gnu.so [232/254] Linking target sklearn/ensemble/_hist_gradient_boosting/common.cpython-314-s390x-linux-gnu.so [233/254] Linking target sklearn/ensemble/_hist_gradient_boosting/_predictor.cpython-314-s390x-linux-gnu.so [234/254] Linking target sklearn/feature_extraction/_hashing_fast.cpython-314-s390x-linux-gnu.so [235/254] Linking target sklearn/linear_model/_sgd_fast.cpython-314-s390x-linux-gnu.so [236/254] Linking target sklearn/linear_model/_sag_fast.cpython-314-s390x-linux-gnu.so [237/254] Linking target sklearn/manifold/_utils.cpython-314-s390x-linux-gnu.so [238/254] Linking target sklearn/manifold/_barnes_hut_tsne.cpython-314-s390x-linux-gnu.so [239/254] Linking target sklearn/linear_model/_cd_fast.cpython-314-s390x-linux-gnu.so [240/254] Linking target sklearn/neighbors/_partition_nodes.cpython-314-s390x-linux-gnu.so [241/254] Linking target sklearn/neighbors/_quad_tree.cpython-314-s390x-linux-gnu.so [242/254] Linking target sklearn/neighbors/_ball_tree.cpython-314-s390x-linux-gnu.so [243/254] Linking target sklearn/preprocessing/_csr_polynomial_expansion.cpython-314-s390x-linux-gnu.so [244/254] Linking target sklearn/svm/_newrand.cpython-314-s390x-linux-gnu.so [245/254] Linking target 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(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_s390x.whl size=32501204 sha256=80b1080f235f4d870423841c9e2aabd256a0a0ac6e563eb35727a2109f674ac7 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.S2ncgV + 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 -march=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection ' + export CFLAGS + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection ' + export CXXFLAGS + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection -I/usr/lib64/gfortran/modules ' + export FFLAGS + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection -I/usr/lib64/gfortran/modules ' + export FCFLAGS + VALAFLAGS=-g + export VALAFLAGS + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + export RUSTFLAGS + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-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_s390x.whl ++ xargs basename --multiple ++ sed -E 's/([^-]+)-([^-]+)-.+\.whl/\1==\2/' + 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_s390x.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.s390x-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.s390x-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.s390x-pyproject-ghost-distinfo ++ cut -f1 '-d ' + lines=1 + '[' 1 -ne 1 ']' + RPM_FILES_ESCAPE=4.19 + /usr/bin/python3 /usr/lib/rpm/redhat/pyproject_save_files.py --output-files /builddir/build/BUILD/python-scikit-learn-1.7.1-build/python-scikit-learn-1.7.1-1.fc43.s390x-pyproject-files --output-modules /builddir/build/BUILD/python-scikit-learn-1.7.1-build/python-scikit-learn-1.7.1-1.fc43.s390x-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.s390x-pyproject-record --prefix /usr sklearn + /usr/bin/find-debuginfo -j2 --strict-build-id -m -i --build-id-seed 1.7.1-1.fc43 --unique-debug-suffix -1.7.1-1.fc43.s390x --unique-debug-src-base python-scikit-learn-1.7.1-1.fc43.s390x --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 69 files DWARF-compressing 69 files sepdebugcrcfix: Updated 69 CRC32s, 0 CRC32s did match. 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.mesonpy-o5gtdr6u/sklearn/utils/_vector_sentinel.cpython-314-s390x-linux-gnu.so.p/_vector_sentinel.cpp: Cannot stat: No such file or directory cpio: .mesonpy-o5gtdr6u/sklearn/utils/_weight_vector.cpython-314-s390x-linux-gnu.so.p/_weight_vector.c: Cannot stat: No such file or directory cpio: .mesonpy-o5gtdr6u/sklearn/utils/arrayfuncs.cpython-314-s390x-linux-gnu.so.p/arrayfuncs.c: Cannot stat: No such file or directory cpio: .mesonpy-o5gtdr6u/sklearn/utils/murmurhash.cpython-314-s390x-linux-gnu.so.p/murmurhash.c: Cannot stat: No such file or directory cpio: .mesonpy-o5gtdr6u/sklearn/utils/sparsefuncs_fast.cpython-314-s390x-linux-gnu.so.p/sparsefuncs_fast.c: Cannot stat: No such file or directory find-debuginfo: done + /usr/lib/rpm/check-buildroot + /usr/lib/rpm/redhat/brp-ldconfig + /usr/lib/rpm/brp-compress + /usr/lib/rpm/redhat/brp-strip-lto /usr/bin/strip + /usr/lib/rpm/check-rpaths + /usr/lib/rpm/redhat/brp-mangle-shebangs mangling shebang in /usr/lib64/python3.14/site-packages/sklearn/_build_utils/version.py from /usr/bin/env python3 to #!/usr/bin/python3 + /usr/lib/rpm/brp-remove-la-files + /usr/lib/rpm/redhat/brp-python-rpm-in-distinfo + env /usr/lib/rpm/redhat/brp-python-bytecompile '' 1 0 -j2 Bytecompiling .py files below /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib/debug/usr/lib64/python3.14 using python3.14 Bytecompiling .py files below /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14 using python3.14 + /usr/lib/rpm/redhat/brp-python-hardlink + /usr/bin/add-determinism --brp -j2 /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/__pycache__/random_projection.cpython-314.opt-1.pyc: rewriting with normalized contents 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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__/__init__.cpython-314.opt-1.pyc: rewriting with normalized contents /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/__check_build/__pycache__/__init__.cpython-314.opt-1.pyc: rewriting with normalized contents /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.pyc: replacing with normalized version Scanned 268 directories and 2284 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.NQsOFo + umask 022 ~/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 + 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 -march=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection ' + export CFLAGS + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection ' + export CXXFLAGS + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection -I/usr/lib64/gfortran/modules ' + export FFLAGS + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=z13 -mtune=z14 -fasynchronous-unwind-tables -fstack-clash-protection -I/usr/lib64/gfortran/modules ' + export FCFLAGS + VALAFLAGS=-g + export VALAFLAGS + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + export RUSTFLAGS + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-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 sklearn ============================= test session starts ============================== platform linux -- Python 3.14.0rc1, pytest-8.3.5, pluggy-1.6.0 rootdir: 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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( sklearn/utils/_typedefs.pyx:21 /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/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_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: 6 warnings sklearn/tree/tests/test_tree.py: 73 warnings sklearn/utils/tests/test_response.py: 1 warning /builddir/build/BUILD/python-scikit-learn-1.7.1-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_bagging.py::test_bagging_classifier_with_missing_inputs sklearn/tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[None] sklearn/tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[None] sklearn/tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[csc_matrix] sklearn/tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[csc_array] /usr/lib64/python3.14/site-packages/numpy/_core/fromnumeric.py:86: RuntimeWarning: invalid value encountered in reduce return ufunc.reduce(obj, axis, dtype, out, **passkwargs) sklearn/ensemble/tests/test_common.py: 6 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_oob_not_computed_twice[ExtraTreesRegressor] /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/ensemble/_forest.py:611: UserWarning: Some inputs do not have OOB scores. This probably means too few trees were used to compute any reliable OOB estimates. warn( sklearn/ensemble/tests/test_forest.py::test_mse_criterion_object_segfault_smoke_test[ExtraTreesRegressor] sklearn/ensemble/tests/test_forest.py::test_mse_criterion_object_segfault_smoke_test[RandomForestRegressor] /builddir/build/BUILD/python-scikit-learn-1.7.1-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: 48 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_anisotropic_kernel /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/gaussian_process/_gpr.py:663: ConvergenceWarning: lbfgs failed to converge after 11 iteration(s) (status=2): ABNORMAL: You might also want to scale the data as shown in: https://scikit-learn.org/stable/modules/preprocessing.html _check_optimize_result("lbfgs", opt_res) sklearn/gaussian_process/tests/test_gpr.py::test_random_starts /builddir/build/BUILD/python-scikit-learn-1.7.1-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: 33 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: 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::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] /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=1.99193e-17): result may not be accurate. dual_coef = linalg.solve(K, y, assume_a="pos", overwrite_a=False) sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_hstacked_X[wide-42-True-cholesky] /builddir/build/BUILD/python-scikit-learn-1.7.1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_ridge.py:250: LinAlgWarning: Ill-conditioned matrix (rcond=7.96772e-17): result may not be accurate. dual_coef = linalg.solve(K, y, assume_a="pos", overwrite_a=False) sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[wide-42-True-cholesky] sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[wide-42-False-cholesky] sklearn/linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeClassifierCV-3] /builddir/build/BUILD/python-scikit-learn-1.7.1-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_regression_convergence_fail /usr/lib64/python3.14/site-packages/scipy/sparse/linalg/_isolve/iterative.py:404: RuntimeWarning: invalid value encountered in scalar divide beta = rho_cur / rho_prev 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=8.23939e-17): result may not be accurate. dual_coef = linalg.solve(K, y, assume_a="pos", overwrite_a=False) sklearn/linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeCV-3] /builddir/build/BUILD/python-scikit-learn-1.7.1-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_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/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/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 = 32462 passed, 6330 skipped, 34 deselected, 149 xfailed, 63 xpassed, 3557 warnings in 640.67s (0:10:40) = + popd + RPM_EC=0 ~/build/BUILD/python-scikit-learn-1.7.1-build/scikit_learn-1.7.1 Processing files: python3-scikit-learn-1.7.1-1.fc43.s390x ++ jobs -p + exit 0 Executing(%doc): /bin/sh -e /var/tmp/rpm-tmp.7iYK6f + 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.w0dxHz + 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(s390-64) = 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_2.2)(64bit) libc.so.6(GLIBC_2.3.4)(64bit) libc.so.6(GLIBC_2.32)(64bit) libc.so.6(GLIBC_2.4)(64bit) libgcc_s.so.1()(64bit) libgcc_s.so.1(GCC_3.0)(64bit) libgcc_s.so.1(GCC_3.3.1)(64bit) libgomp.so.1()(64bit) libgomp.so.1(GOMP_1.0)(64bit) libgomp.so.1(GOMP_4.0)(64bit) libgomp.so.1(OMP_1.0)(64bit) libgomp.so.1(OMP_3.0)(64bit) libm.so.6()(64bit) libm.so.6(GLIBC_2.2)(64bit) libm.so.6(GLIBC_2.23)(64bit) libm.so.6(GLIBC_2.27)(64bit) libm.so.6(GLIBC_2.29)(64bit) libstdc++.so.6()(64bit) libstdc++.so.6(CXXABI_1.3)(64bit) libstdc++.so.6(CXXABI_1.3.8)(64bit) libstdc++.so.6(CXXABI_1.3.9)(64bit) libstdc++.so.6(GLIBCXX_3.4)(64bit) libstdc++.so.6(GLIBCXX_3.4.21)(64bit) libstdc++.so.6(GLIBCXX_3.4.30)(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.s390x Provides: python-scikit-learn-debugsource = 1.7.1-1.fc43 python-scikit-learn-debugsource(s390-64) = 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.s390x Provides: debuginfo(build-id) = 0181d453433940b1c1181135352d5dfb0aba666e debuginfo(build-id) = 034380a83095336dcf47db127c71781c922cc394 debuginfo(build-id) = 04fb032704a64be3654a3264c12c5f7d5e29e844 debuginfo(build-id) = 07879c2091450c8bee937f57c7cec7a8263317eb debuginfo(build-id) = 07ad243419041a8f8e89f16ab58b0fcd795b8658 debuginfo(build-id) = 1427ba61485d5fb740281d3c9e213e8b85e1cc6b debuginfo(build-id) = 155608e26c944eb117a605aecccc9f6b284d8170 debuginfo(build-id) = 156c0b0c36c2739ed4d13224c2b5be8772ceecd0 debuginfo(build-id) = 193c1938c0a64ab5faad64eb546dc6d67285dcc9 debuginfo(build-id) = 1be981a19ed6132b38b7c837675014f6d8973ac2 debuginfo(build-id) = 1d655bc0ed4a45262326befca11339fb4ae90cfb debuginfo(build-id) = 1e7c59b11d6525316093d6716dd968331fe6bd55 debuginfo(build-id) = 1f5d00f73fd9afc990e809e2e3319dfa99b8899d debuginfo(build-id) = 20cb17bae509e7a5ab5de309923b3c45484cba43 debuginfo(build-id) = 2687b4ea4722a21e2574ecd809b46e0a490f7256 debuginfo(build-id) = 28de2fd4858141cdf819d4a1ab8b5151e02cf28e debuginfo(build-id) = 292e8a9fc973d0a13671ce9e8696ee2c7351ea8d debuginfo(build-id) = 29f565004ef95df592cb1e66a5603eb67acf98bb debuginfo(build-id) = 2a6158338cac7987490096c22e5932b3f1d4977a debuginfo(build-id) = 303c3dfd1986ea2c42a6d170125a3e6a4718d416 debuginfo(build-id) = 314c5da2efd510dd1193316c69e3df3231ccc2c9 debuginfo(build-id) = 340e4bdef428f09efe0d70168a59c99269061b35 debuginfo(build-id) = 3580d368d9c88fb4cbc43072dd8e90c63761ce09 debuginfo(build-id) = 3c0f23d7cd8734edf771f94c764021e3e4f159eb debuginfo(build-id) = 41f51c57d3194286d806fc629813f0a37f1a5766 debuginfo(build-id) = 4461882dcfd2970ed173e5bad5b14e3e73350281 debuginfo(build-id) = 479926b17fb01039a20d0a97131f8e3ebfe64fdc debuginfo(build-id) = 497e6af63bd8e49ee0bef1bde8002e889aa8c2c5 debuginfo(build-id) = 5261b3e99e7967a421f683c9a4893b4e5ede37d9 debuginfo(build-id) = 529e3e1f4568697083bca7e88207dbb03991d852 debuginfo(build-id) = 547a2c6532289134697c3060b430e70a6cfbdbbd debuginfo(build-id) = 548cde6ac57d90877c0afd8ad41094a503fc77c8 debuginfo(build-id) = 554659ffd0f3156fc17cfd5d09ffac11c4b3352c debuginfo(build-id) = 6224eeb317ec2c422abcb7470d046cf2c8f044f2 debuginfo(build-id) = 6a0056daf9e42fc99a6b011753045a7904c47881 debuginfo(build-id) = 7515d0ed0e22d3ba93a9c88d66d5e70836473cce debuginfo(build-id) = 7d641952e8b16d10dcdd3310646625486012fcd1 debuginfo(build-id) = 80866a1738c7577a31fe553f880ceed332430409 debuginfo(build-id) = 83d80b9b95dbe0612c6c10137f4a01e1c74268f7 debuginfo(build-id) = 843110d7131abad3f994228536c35616ee72a281 debuginfo(build-id) = 848c202751b463742e4cda9dfe61b845352c1355 debuginfo(build-id) = 8c5b1283d19ce764ddf7461f06d591e6306c21da debuginfo(build-id) = 8ec61ca28f47709a355e839ecf01535f3789b245 debuginfo(build-id) = 90417fae737b410dac27aa4a8e00d9a38479ef74 debuginfo(build-id) = 93c7fb6b71c27c95b2addc0712a421591b452b7c debuginfo(build-id) = 95f590420b0f3d2ba349984ce4dbe9f5e2a0ac34 debuginfo(build-id) = 9961a3b45da863225c790d73f311a4bf3932890c debuginfo(build-id) = 9dfe3cb5de151e6e829de4dcf74bec25fdc2cc5a debuginfo(build-id) = a2c4e8d2629db7423c23d4b5eab9c00df8043dd0 debuginfo(build-id) = a5f202f14a6da40d77ebf9277da40f1c6a1890a1 debuginfo(build-id) = ab87bc4295e624faf3f9cddc598be307462c99f2 debuginfo(build-id) = ae4ebf45c54004c05ced2433502a89f096881102 debuginfo(build-id) = b21de04a26b7377148d603fcfee406fdaa0581a2 debuginfo(build-id) = bbd29e9e10bd960f62871bda88476c1cf1178caf debuginfo(build-id) = c3d0e4da1dd37bee948485e08492b6dd2be932a9 debuginfo(build-id) = c4417bc86aad49c6d1ef24b1587b1225a8b4fd8c debuginfo(build-id) = c4e4913e6608f29a08f141d5cddd3fb72976030d debuginfo(build-id) = c7cff8249c5d7089258de16dcb46ba0b76c28121 debuginfo(build-id) = cded0db16c144a9ad987c1d04c7a6ec6dcde22cb debuginfo(build-id) = d83be01b417f8aab3385d9bde0ee51b601151285 debuginfo(build-id) = d84436deae070e65e50b3ae4d67db5559b1c5854 debuginfo(build-id) = dcf3813da74641f189fd9cda056d0c56b3bd5428 debuginfo(build-id) = dd0aeec75ec222df58949352b50a54441d76c314 debuginfo(build-id) = ea39446033e0ea1d85c725d0d836fe7b93d75eb1 debuginfo(build-id) = eae63cd3792c3bda4f4efef21eac40306c0a9553 debuginfo(build-id) = f4b51a2e68349afd7ee8a3806f83d388a7d0deb7 debuginfo(build-id) = f8269e09e1ed81fead7eae41dc22d493f83e52be debuginfo(build-id) = f82e31bf6877bce54b5bab1d24eab93e6911003b debuginfo(build-id) = ff46a4e17b5bc422072bf2e239cc1aefdd2a6385 python-scikit-learn-debuginfo = 1.7.1-1.fc43 python3-scikit-learn-debuginfo = 1.7.1-1.fc43 python3-scikit-learn-debuginfo(s390-64) = 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(s390-64) = 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/python3-scikit-learn-debuginfo-1.7.1-1.fc43.s390x.rpm Wrote: /builddir/build/RPMS/python-scikit-learn-debugsource-1.7.1-1.fc43.s390x.rpm Wrote: /builddir/build/RPMS/python3-scikit-learn-1.7.1-1.fc43.s390x.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-rawhide-s390x-1754577530.600594/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) 25 minutes 27 seconds INFO: Results and/or logs in: /var/lib/copr-rpmbuild/results INFO: Cleaning up build root ('cleanup_on_success=True') Start: clean chroot INFO: unmounting tmpfs. Finish: clean chroot Finish: run Running RPMResults tool Package info: { "packages": [ { "name": "python-scikit-learn-debugsource", "epoch": null, "version": "1.7.1", "release": "1.fc43", "arch": "s390x" }, { "name": "python3-scikit-learn-debuginfo", "epoch": null, "version": "1.7.1", "release": "1.fc43", "arch": "s390x" }, { "name": "python3-scikit-learn", "epoch": null, "version": "1.7.1", "release": "1.fc43", "arch": "s390x" }, { "name": "python-scikit-learn", "epoch": null, "version": "1.7.1", "release": "1.fc43", "arch": "src" } ] } RPMResults finished