Warning: Permanently added '98.88.22.187' (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/9886673-fedora-42-x86_64 --chroot fedora-42-x86_64 Version: 1.6 PID: 8643 Logging PID: 8645 Task: {'allow_user_ssh': False, 'appstream': False, 'background': True, 'build_id': 9886673, 'buildroot_pkgs': [], 'chroot': 'fedora-42-x86_64', 'enable_net': False, 'fedora_review': False, 'git_hash': '34e7724ec7c3f8575871a9ca0ecb518108477adf', 'git_repo': 'https://copr-dist-git.fedorainfracloud.org/git/psimovec/python3-scipy-1.10.1/python-scikit-learn', 'isolation': 'default', 'memory_reqs': 2048, 'package_name': 'python-scikit-learn', 'package_version': '1.8.0~rc1-1', 'project_dirname': 'python3-scipy-1.10.1', 'project_name': 'python3-scipy-1.10.1', 'project_owner': 'psimovec', 'repo_priority': None, 'repos': [{'baseurl': 'https://download.copr.fedorainfracloud.org/results/psimovec/python3-scipy-1.10.1/fedora-42-x86_64/', 'id': 'copr_base', 'name': 'Copr repository', 'priority': None}, {'baseurl': 'http://kojipkgs.fedoraproject.org/repos/rawhide/latest/$basearch/', 'id': 'http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch', 'name': 'Additional repo http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch'}], 'sandbox': 'psimovec/python3-scipy-1.10.1--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': '9886673-fedora-42-x86_64', 'timeout': 18000, 'uses_devel_repo': False, 'with_opts': [], 'without_opts': []} Running: git clone https://copr-dist-git.fedorainfracloud.org/git/psimovec/python3-scipy-1.10.1/python-scikit-learn /var/lib/copr-rpmbuild/workspace/workdir-zywvhrif/python-scikit-learn --depth 500 --no-single-branch --recursive cmd: ['git', 'clone', 'https://copr-dist-git.fedorainfracloud.org/git/psimovec/python3-scipy-1.10.1/python-scikit-learn', '/var/lib/copr-rpmbuild/workspace/workdir-zywvhrif/python-scikit-learn', '--depth', '500', '--no-single-branch', '--recursive'] cwd: . rc: 0 stdout: stderr: Cloning into '/var/lib/copr-rpmbuild/workspace/workdir-zywvhrif/python-scikit-learn'... Running: git checkout 34e7724ec7c3f8575871a9ca0ecb518108477adf -- cmd: ['git', 'checkout', '34e7724ec7c3f8575871a9ca0ecb518108477adf', '--'] cwd: /var/lib/copr-rpmbuild/workspace/workdir-zywvhrif/python-scikit-learn rc: 0 stdout: stderr: Note: switching to '34e7724ec7c3f8575871a9ca0ecb518108477adf'. 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 34e7724 automatic import of python-scikit-learn Running: dist-git-client sources cmd: ['dist-git-client', 'sources'] cwd: /var/lib/copr-rpmbuild/workspace/workdir-zywvhrif/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-1.8.0rc1.tar.gz INFO: Reading stdout from command: curl --help all INFO: Calling: curl -H Pragma: -o scikit_learn-1.8.0rc1.tar.gz --location --connect-timeout 60 --retry 3 --retry-delay 10 --remote-time --show-error --fail --retry-all-errors https://copr-dist-git.fedorainfracloud.org/repo/pkgs/psimovec/python3-scipy-1.10.1/python-scikit-learn/scikit_learn-1.8.0rc1.tar.gz/md5/7ca3b122e8c50a801c579c27484f06c7/scikit_learn-1.8.0rc1.tar.gz % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 7170k 100 7170k 0 0 235M 0 --:--:-- --:--:-- --:--:-- 241M INFO: Reading stdout from command: md5sum scikit_learn-1.8.0rc1.tar.gz tail: /var/lib/copr-rpmbuild/main.log: file truncated Running (timeout=18000): unbuffer mock --spec /var/lib/copr-rpmbuild/workspace/workdir-zywvhrif/python-scikit-learn/python-scikit-learn.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-zywvhrif/python-scikit-learn --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1765206034.077258 -r /var/lib/copr-rpmbuild/results/configs/child.cfg INFO: mock.py version 6.5 starting (python version = 3.13.7, NVR = mock-6.5-1.fc42), args: /usr/libexec/mock/mock --spec /var/lib/copr-rpmbuild/workspace/workdir-zywvhrif/python-scikit-learn/python-scikit-learn.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-zywvhrif/python-scikit-learn --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1765206034.077258 -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-zywvhrif/python-scikit-learn/python-scikit-learn.spec) Config(fedora-42-x86_64) Start: clean chroot Finish: clean chroot Mock Version: 6.5 INFO: Mock Version: 6.5 Start(bootstrap): chroot init INFO: mounting tmpfs at /var/lib/mock/fedora-42-x86_64-bootstrap-1765206034.077258/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:42 INFO: Pulling image: registry.fedoraproject.org/fedora:42 INFO: Tagging container image as mock-bootstrap-3dd1850d-4602-4387-8036-ec1dc66477b0 INFO: Checking that dad12804a84a1bcc19c8ef836d3bcc59178291f3992891a94340e28a79f70130 image matches host's architecture INFO: Copy content of container dad12804a84a1bcc19c8ef836d3bcc59178291f3992891a94340e28a79f70130 to /var/lib/mock/fedora-42-x86_64-bootstrap-1765206034.077258/root INFO: mounting dad12804a84a1bcc19c8ef836d3bcc59178291f3992891a94340e28a79f70130 with podman image mount INFO: image dad12804a84a1bcc19c8ef836d3bcc59178291f3992891a94340e28a79f70130 as /var/lib/containers/storage/overlay/393ccd681e9396a732aca31598ba53b6acacd1a00b31962c59d0e62c641cc327/merged INFO: umounting image dad12804a84a1bcc19c8ef836d3bcc59178291f3992891a94340e28a79f70130 (/var/lib/containers/storage/overlay/393ccd681e9396a732aca31598ba53b6acacd1a00b31962c59d0e62c641cc327/merged) with podman image umount INFO: Removing image mock-bootstrap-3dd1850d-4602-4387-8036-ec1dc66477b0 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-42-x86_64-1765206034.077258/root. INFO: calling preinit hooks INFO: enabled root cache INFO: enabled package manager cache Start: cleaning package manager metadata Finish: cleaning package manager metadata INFO: enabled HW Info plugin INFO: Package manager dnf5 detected and used (direct choice) INFO: Buildroot is handled by package management downloaded with a bootstrap image: rpm-4.20.1-1.fc42.x86_64 rpm-sequoia-1.7.0-5.fc42.x86_64 dnf5-5.2.17.0-1.fc42.x86_64 dnf5-plugins-5.2.17.0-1.fc42.x86_64 Start: installing minimal buildroot with dnf5 Updating and loading repositories: Copr repository 100% | 795.0 KiB/s | 291.8 KiB | 00m00s Additional repo http_kojipkgs_fedorapr 100% | 31.3 MiB/s | 14.3 MiB | 00m00s updates 100% | 11.9 MiB/s | 12.5 MiB | 00m01s fedora 100% | 16.2 MiB/s | 35.3 MiB | 00m02s Repositories loaded. 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126.8 KiB pcre2 x86_64 10.47-1.fc44 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 702.6 KiB pcre2-syntax noarch 10.47-1.fc44 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 281.9 KiB perl-srpm-macros noarch 1-60.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 861.0 B pkgconf x86_64 2.3.0-3.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 88.5 KiB pkgconf-m4 noarch 2.3.0-3.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 14.4 KiB pkgconf-pkg-config x86_64 2.3.0-3.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 989.0 B policycoreutils x86_64 3.9-5.fc44 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 683.5 KiB popt x86_64 1.19-9.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 132.8 KiB publicsuffix-list-dafsa noarch 20250616-2.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 69.1 KiB pyproject-srpm-macros noarch 1.18.6-1.fc44 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.9 KiB python-srpm-macros noarch 3.14-9.fc44 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 51.6 KiB qt5-srpm-macros noarch 5.15.18-1.fc44 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 500.0 B qt6-srpm-macros noarch 6.10.1-1.fc44 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 464.0 B readline x86_64 8.3-2.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 511.7 KiB rpm x86_64 6.0.0-1.fc44 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 3.1 MiB rpm-build-libs x86_64 6.0.0-1.fc44 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 268.4 KiB rpm-libs x86_64 6.0.0-1.fc44 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 933.8 KiB rpm-plugin-selinux x86_64 6.0.0-1.fc44 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 12.0 KiB rpm-sequoia x86_64 1.9.0-2.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 2.5 MiB rpm-sign-libs x86_64 6.0.0-1.fc44 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 39.7 KiB rust-srpm-macros noarch 28.2-1.fc44 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 5.5 KiB selinux-policy noarch 42.19-1.fc44 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 32.0 KiB selinux-policy-targeted noarch 42.19-1.fc44 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 18.7 MiB setup noarch 2.15.0-27.fc44 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 724.9 KiB sqlite-libs x86_64 3.51.0-1.fc44 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.5 MiB systemd-libs x86_64 259~rc2-2.fc44 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 2.3 MiB systemd-standalone-sysusers x86_64 259~rc2-2.fc44 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 293.7 KiB tpm2-tss x86_64 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 x86_64 2.41.2-9.fc44 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.5 MiB xxhash-libs x86_64 0.8.3-3.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 90.2 KiB xz-libs x86_64 1:5.8.1-4.fc44 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 217.8 KiB zig-srpm-macros noarch 1-5.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.1 KiB zip x86_64 3.0-44.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 694.5 KiB zlib-ng-compat x86_64 2.3.2-1.fc44 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 161.7 KiB zstd x86_64 1.5.7-3.fc44 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 506.2 KiB Installing groups: Buildsystem building group Transaction Summary: Installing: 177 packages Total size of inbound packages is 66 MiB. Need to download 66 MiB. After this operation, 219 MiB extra will be used (install 219 MiB, remove 0 B). [ 1/177] bzip2-0:1.0.8-21.fc43.x86_64 100% | 516.2 KiB/s | 51.6 KiB | 00m00s [ 2/177] cpio-0:2.15-6.fc43.x86_64 100% | 3.5 MiB/s | 286.6 KiB | 00m00s [ 3/177] coreutils-0:9.9-1.fc44.x86_64 100% | 5.7 MiB/s | 1.1 MiB | 00m00s [ 4/177] bash-0:5.3.0-2.fc43.x86_64 100% | 8.8 MiB/s | 1.8 MiB | 00m00s [ 5/177] fedora-release-common-0:44-0. 100% | 876.1 KiB/s | 24.5 KiB | 00m00s [ 6/177] findutils-1:4.10.0-6.fc43.x86 100% | 13.6 MiB/s | 541.2 KiB | 00m00s [ 7/177] diffutils-0:3.12-3.fc43.x86_6 100% | 5.4 MiB/s | 384.1 KiB | 00m00s [ 8/177] grep-0:3.12-2.fc43.x86_64 100% | 10.5 MiB/s | 289.1 KiB | 00m00s [ 9/177] glibc-minimal-langpack-0:2.42 100% | 2.2 MiB/s | 67.0 KiB | 00m00s [ 10/177] gawk-0:5.3.2-2.fc43.x86_64 100% | 19.9 MiB/s | 1.1 MiB | 00m00s [ 11/177] gzip-0:1.14-1.fc44.x86_64 100% | 5.8 MiB/s | 171.6 KiB | 00m00s [ 12/177] info-0:7.2-7.fc44.x86_64 100% | 6.4 MiB/s | 182.9 KiB | 00m00s [ 13/177] patch-0:2.8-2.fc43.x86_64 100% | 4.4 MiB/s | 113.8 KiB | 00m00s [ 14/177] sed-0:4.9-6.fc44.x86_64 100% | 12.1 MiB/s | 308.7 KiB | 00m00s [ 15/177] redhat-rpm-config-0:343-16.fc 100% | 2.5 MiB/s | 73.0 KiB | 00m00s [ 16/177] rpm-build-0:6.0.0-1.fc44.x86_ 100% | 4.5 MiB/s | 130.0 KiB | 00m00s [ 17/177] unzip-0:6.0-68.fc44.x86_64 100% | 6.4 MiB/s | 184.6 KiB | 00m00s [ 18/177] shadow-utils-2:4.18.0-7.fc44. 100% | 24.4 MiB/s | 1.2 MiB | 00m00s [ 19/177] tar-2:1.35-6.fc43.x86_64 100% | 15.1 MiB/s | 847.8 KiB | 00m00s [ 20/177] util-linux-0:2.41.2-9.fc44.x8 100% | 25.5 MiB/s | 1.1 MiB | 00m00s [ 21/177] which-0:2.23-3.fc43.x86_64 100% | 1.5 MiB/s | 41.7 KiB | 00m00s [ 22/177] xz-1:5.8.1-4.fc44.x86_64 100% | 19.4 MiB/s | 557.0 KiB | 00m00s [ 23/177] fedora-repos-0:44-0.1.noarch 100% | 336.0 KiB/s | 9.1 KiB | 00m00s [ 24/177] coreutils-common-0:9.9-1.fc44 100% | 45.2 MiB/s | 2.1 MiB | 00m00s [ 25/177] glibc-common-0:2.42.9000-14.f 100% | 11.8 MiB/s | 349.3 KiB | 00m00s [ 26/177] glibc-0:2.42.9000-14.fc44.x86 100% | 33.4 MiB/s | 2.3 MiB | 00m00s [ 27/177] gap-srpm-macros-0:2-1.fc44.no 100% | 348.2 KiB/s | 9.1 KiB | 00m00s [ 28/177] java-srpm-macros-0:1-7.fc43.n 100% | 283.7 KiB/s | 7.9 KiB | 00m00s [ 29/177] rpm-0:6.0.0-1.fc44.x86_64 100% | 19.0 MiB/s | 545.6 KiB | 00m00s [ 30/177] libblkid-0:2.41.2-9.fc44.x86_ 100% | 4.3 MiB/s | 122.7 KiB | 00m00s [ 31/177] libfdisk-0:2.41.2-9.fc44.x86_ 100% | 5.4 MiB/s | 161.2 KiB | 00m00s [ 32/177] liblastlog2-0:2.41.2-9.fc44.x 100% | 873.3 KiB/s | 22.7 KiB | 00m00s [ 33/177] libmount-0:2.41.2-9.fc44.x86_ 100% | 5.5 MiB/s | 162.1 KiB | 00m00s [ 34/177] libsmartcols-0:2.41.2-9.fc44. 100% | 2.9 MiB/s | 83.5 KiB | 00m00s [ 35/177] libuuid-0:2.41.2-9.fc44.x86_6 100% | 954.9 KiB/s | 25.8 KiB | 00m00s [ 36/177] util-linux-core-0:2.41.2-9.fc 100% | 20.1 MiB/s | 534.3 KiB | 00m00s [ 37/177] xz-libs-1:5.8.1-4.fc44.x86_64 100% | 3.9 MiB/s | 112.8 KiB | 00m00s [ 38/177] fedora-gpg-keys-0:44-0.1.noar 100% | 5.4 MiB/s | 127.7 KiB | 00m00s [ 39/177] glibc-gconv-extra-0:2.42.9000 100% | 43.7 MiB/s | 1.6 MiB | 00m00s [ 40/177] fedora-repos-rawhide-0:44-0.1 100% | 308.8 KiB/s | 8.6 KiB | 00m00s [ 41/177] rpm-libs-0:6.0.0-1.fc44.x86_6 100% | 13.5 MiB/s | 400.5 KiB | 00m00s [ 42/177] rpm-sequoia-0:1.9.0-2.fc43.x8 100% | 33.8 MiB/s | 933.3 KiB | 00m00s [ 43/177] rpm-build-libs-0:6.0.0-1.fc44 100% | 4.5 MiB/s | 127.9 KiB | 00m00s [ 44/177] rpm-sign-libs-0:6.0.0-1.fc44. 100% | 1.0 MiB/s | 28.2 KiB | 00m00s [ 45/177] filesystem-0:3.18-50.fc43.x86 100% | 36.6 MiB/s | 1.3 MiB | 00m00s [ 46/177] libgcc-0:15.2.1-4.fc44.x86_64 100% | 4.5 MiB/s | 134.1 KiB | 00m00s [ 47/177] libselinux-0:3.9-5.fc44.x86_6 100% | 3.5 MiB/s | 97.8 KiB | 00m00s [ 48/177] libsepol-0:3.9-2.fc43.x86_64 100% | 10.9 MiB/s | 345.4 KiB | 00m00s [ 49/177] libxcrypt-0:4.5.2-1.fc44.x86_ 100% | 4.8 MiB/s | 128.1 KiB | 00m00s [ 50/177] ncurses-libs-0:6.5-7.20250614 100% | 11.6 MiB/s | 332.7 KiB | 00m00s [ 51/177] ncurses-base-0:6.5-7.20250614 100% | 2.2 MiB/s | 63.7 KiB | 00m00s [ 52/177] audit-libs-0:4.1.2-2.fc44.x86 100% | 5.4 MiB/s | 138.4 KiB | 00m00s [ 53/177] systemd-libs-0:259~rc2-2.fc44 100% | 25.1 MiB/s | 821.6 KiB | 00m00s [ 54/177] libcap-ng-0:0.8.5-8.fc44.x86_ 100% | 1.1 MiB/s | 32.2 KiB | 00m00s [ 55/177] pam-libs-0:1.7.1-3.fc43.x86_6 100% | 2.1 MiB/s | 57.5 KiB | 00m00s [ 56/177] readline-0:8.3-2.fc43.x86_64 100% | 8.4 MiB/s | 224.6 KiB | 00m00s [ 57/177] zlib-ng-compat-0:2.3.2-1.fc44 100% | 3.1 MiB/s | 88.8 KiB | 00m00s [ 58/177] libacl-0:2.3.2-4.fc43.x86_64 100% | 971.2 KiB/s | 24.3 KiB | 00m00s [ 59/177] bzip2-libs-0:1.0.8-21.fc43.x8 100% | 1.5 MiB/s | 43.1 KiB | 00m00s [ 60/177] libeconf-0:0.7.9-2.fc43.x86_6 100% | 1.2 MiB/s | 35.2 KiB | 00m00s [ 61/177] libsemanage-0:3.9-4.fc44.x86_ 100% | 4.5 MiB/s | 123.5 KiB | 00m00s [ 62/177] setup-0:2.15.0-27.fc44.noarch 100% | 5.7 MiB/s | 151.3 KiB | 00m00s [ 63/177] gpgverify-0:2.2-3.fc43.noarch 100% | 427.1 KiB/s | 11.1 KiB | 00m00s [ 64/177] gnupg2-dirmngr-0:2.4.8-4.fc43 100% | 9.2 MiB/s | 274.6 KiB | 00m00s [ 65/177] gnupg2-0:2.4.8-4.fc43.x86_64 100% | 45.3 MiB/s | 1.6 MiB | 00m00s [ 66/177] gnupg2-gpgconf-0:2.4.8-4.fc43 100% | 4.2 MiB/s | 115.0 KiB | 00m00s [ 67/177] gnupg2-gpg-agent-0:2.4.8-4.fc 100% | 8.9 MiB/s | 272.9 KiB | 00m00s [ 68/177] gnupg2-keyboxd-0:2.4.8-4.fc43 100% | 3.6 MiB/s | 94.7 KiB | 00m00s [ 69/177] ima-evm-utils-libs-0:1.6.2-7. 100% | 1.1 MiB/s | 29.4 KiB | 00m00s [ 70/177] libfsverity-0:1.6-3.fc43.x86_ 100% | 689.9 KiB/s | 18.6 KiB | 00m00s [ 71/177] gnupg2-verify-0:2.4.8-4.fc43. 100% | 5.6 MiB/s | 171.2 KiB | 00m00s [ 72/177] popt-0:1.19-9.fc43.x86_64 100% | 2.0 MiB/s | 59.1 KiB | 00m00s [ 73/177] libstdc++-0:15.2.1-4.fc44.x86 100% | 25.7 MiB/s | 921.3 KiB | 00m00s [ 74/177] openssl-libs-1:3.5.4-1.fc44.x 100% | 63.9 MiB/s | 2.6 MiB | 00m00s [ 75/177] libcap-0:2.77-1.fc44.x86_64 100% | 2.9 MiB/s | 87.1 KiB | 00m00s [ 76/177] libzstd-0:1.5.7-3.fc44.x86_64 100% | 11.7 MiB/s | 359.1 KiB | 00m00s [ 77/177] lua-libs-0:5.4.8-4.fc44.x86_6 100% | 5.4 MiB/s | 133.1 KiB | 00m00s [ 78/177] sqlite-libs-0:3.51.0-1.fc44.x 100% | 24.1 MiB/s | 766.5 KiB | 00m00s [ 79/177] elfutils-libs-0:0.194-1.fc44. 100% | 10.6 MiB/s | 271.6 KiB | 00m00s [ 80/177] elfutils-libelf-0:0.194-1.fc4 100% | 6.7 MiB/s | 205.3 KiB | 00m00s [ 81/177] elfutils-0:0.194-1.fc44.x86_6 100% | 17.4 MiB/s | 570.6 KiB | 00m00s [ 82/177] file-libs-0:5.46-8.fc44.x86_6 100% | 27.7 MiB/s | 849.9 KiB | 00m00s [ 83/177] elfutils-debuginfod-client-0: 100% | 1.4 MiB/s | 46.9 KiB | 00m00s [ 84/177] file-0:5.46-8.fc44.x86_64 100% | 1.8 MiB/s | 48.8 KiB | 00m00s [ 85/177] libgomp-0:15.2.1-4.fc44.x86_6 100% | 12.2 MiB/s | 374.5 KiB | 00m00s [ 86/177] binutils-0:2.45.50-9.fc44.x86 100% | 111.2 MiB/s | 5.9 MiB | 00m00s [ 87/177] debugedit-0:5.2-3.fc44.x86_64 100% | 2.8 MiB/s | 85.6 KiB | 00m00s [ 88/177] libarchive-0:3.8.3-1.fc44.x86 100% | 14.7 MiB/s | 421.9 KiB | 00m00s [ 89/177] pkgconf-pkg-config-0:2.3.0-3. 100% | 343.2 KiB/s | 9.6 KiB | 00m00s [ 90/177] pkgconf-0:2.3.0-3.fc43.x86_64 100% | 1.7 MiB/s | 44.6 KiB | 00m00s [ 91/177] pkgconf-m4-0:2.3.0-3.fc43.noa 100% | 556.4 KiB/s | 13.9 KiB | 00m00s [ 92/177] zstd-0:1.5.7-3.fc44.x86_64 100% | 6.6 MiB/s | 189.5 KiB | 00m00s [ 93/177] libpkgconf-0:2.3.0-3.fc43.x86 100% | 1.3 MiB/s | 37.9 KiB | 00m00s [ 94/177] curl-0:8.17.0-4.fc44.x86_64 100% | 8.1 MiB/s | 232.5 KiB | 00m00s [ 95/177] ansible-srpm-macros-0:1-18.1. 100% | 737.3 KiB/s | 19.9 KiB | 00m00s [ 96/177] build-reproducibility-srpm-ma 100% | 459.2 KiB/s | 12.9 KiB | 00m00s [ 97/177] add-determinism-0:0.7.2-2.fc4 100% | 29.9 MiB/s | 887.6 KiB | 00m00s [ 98/177] efi-srpm-macros-0:6-5.fc44.no 100% | 866.4 KiB/s | 22.5 KiB | 00m00s [ 99/177] linkdupes-0:0.7.2-2.fc44.x86_ 100% | 11.6 MiB/s | 356.3 KiB | 00m00s [100/177] dwz-0:0.16-2.fc43.x86_64 100% | 4.7 MiB/s | 135.5 KiB | 00m00s [101/177] forge-srpm-macros-0:0.4.0-3.f 100% | 744.0 KiB/s | 20.1 KiB | 00m00s [102/177] fonts-srpm-macros-1:5.0.0-1.f 100% | 1.0 MiB/s | 27.3 KiB | 00m00s [103/177] filesystem-srpm-macros-0:3.18 100% | 943.3 KiB/s | 26.4 KiB | 00m00s [104/177] fpc-srpm-macros-0:1.3-15.fc43 100% | 303.5 KiB/s | 7.9 KiB | 00m00s [105/177] gnat-srpm-macros-0:6-8.fc43.n 100% | 326.4 KiB/s | 8.5 KiB | 00m00s [106/177] ghc-srpm-macros-0:1.9.2-3.fc4 100% | 323.9 KiB/s | 8.7 KiB | 00m00s [107/177] kernel-srpm-macros-0:1.0-27.f 100% | 343.1 KiB/s | 8.9 KiB | 00m00s [108/177] lua-srpm-macros-0:1-16.fc43.n 100% | 336.8 KiB/s | 8.8 KiB | 00m00s [109/177] go-srpm-macros-0:3.8.0-1.fc44 100% | 943.6 KiB/s | 28.3 KiB | 00m00s [110/177] package-notes-srpm-macros-0:0 100% | 374.4 KiB/s | 9.0 KiB | 00m00s [111/177] ocaml-srpm-macros-0:11-2.fc43 100% | 330.7 KiB/s | 9.3 KiB | 00m00s [112/177] openblas-srpm-macros-0:2-20.f 100% | 271.2 KiB/s | 7.6 KiB | 00m00s [113/177] pyproject-srpm-macros-0:1.18. 100% | 532.5 KiB/s | 13.3 KiB | 00m00s [114/177] perl-srpm-macros-0:1-60.fc43. 100% | 296.0 KiB/s | 8.3 KiB | 00m00s [115/177] python-srpm-macros-0:3.14-9.f 100% | 952.3 KiB/s | 23.8 KiB | 00m00s [116/177] qt6-srpm-macros-0:6.10.1-1.fc 100% | 374.3 KiB/s | 9.4 KiB | 00m00s [117/177] rust-srpm-macros-0:28.2-1.fc4 100% | 411.8 KiB/s | 10.7 KiB | 00m00s [118/177] qt5-srpm-macros-0:5.15.18-1.f 100% | 307.2 KiB/s | 8.6 KiB | 00m00s [119/177] zig-srpm-macros-0:1-5.fc43.no 100% | 324.4 KiB/s | 8.4 KiB | 00m00s [120/177] tree-sitter-srpm-macros-0:0.4 100% | 460.4 KiB/s | 13.4 KiB | 00m00s [121/177] zip-0:3.0-44.fc43.x86_64 100% | 9.5 MiB/s | 261.6 KiB | 00m00s [122/177] libattr-0:2.5.2-6.fc43.x86_64 100% | 686.6 KiB/s | 17.9 KiB | 00m00s [123/177] ed-0:1.22.3-1.fc44.x86_64 100% | 2.8 MiB/s | 84.1 KiB | 00m00s [124/177] ca-certificates-0:2025.2.80_v 100% | 31.7 MiB/s | 973.8 KiB | 00m00s [125/177] pcre2-syntax-0:10.47-1.fc44.n 100% | 6.4 MiB/s | 164.7 KiB | 00m00s [126/177] crypto-policies-0:20251128-1. 100% | 2.5 MiB/s | 74.7 KiB | 00m00s [127/177] pcre2-0:10.47-1.fc44.x86_64 100% | 9.0 MiB/s | 267.2 KiB | 00m00s [128/177] tpm2-tss-0:4.1.3-8.fc43.x86_6 100% | 15.2 MiB/s | 421.3 KiB | 00m00s [129/177] lz4-libs-0:1.10.0-3.fc43.x86_ 100% | 2.7 MiB/s | 78.0 KiB | 00m00s [130/177] libxml2-0:2.12.10-5.fc44.x86_ 100% | 21.8 MiB/s | 692.7 KiB | 00m00s [131/177] libassuan-0:2.5.7-4.fc43.x86_ 100% | 2.3 MiB/s | 67.4 KiB | 00m00s [132/177] libgpg-error-0:1.56-1.fc44.x8 100% | 9.0 MiB/s | 240.6 KiB | 00m00s [133/177] libgcrypt-0:1.11.2-1.fc44.x86 100% | 19.4 MiB/s | 596.1 KiB | 00m00s [134/177] libksba-0:1.6.7-4.fc43.x86_64 100% | 5.8 MiB/s | 160.4 KiB | 00m00s [135/177] npth-0:1.8-3.fc43.x86_64 100% | 884.7 KiB/s | 25.7 KiB | 00m00s [136/177] gnutls-0:3.8.11-6.fc44.x86_64 100% | 42.5 MiB/s | 1.4 MiB | 00m00s [137/177] openldap-0:2.6.10-4.fc44.x86_ 100% | 8.7 MiB/s | 259.5 KiB | 00m00s [138/177] gmp-1:6.3.0-4.fc44.x86_64 100% | 10.8 MiB/s | 319.3 KiB | 00m00s [139/177] mpfr-0:4.2.2-2.fc43.x86_64 100% | 13.6 MiB/s | 347.0 KiB | 00m00s [140/177] json-c-0:0.18-7.fc43.x86_64 100% | 1.7 MiB/s | 45.0 KiB | 00m00s [141/177] elfutils-default-yama-scope-0 100% | 442.0 KiB/s | 12.4 KiB | 00m00s [142/177] gnulib-l10n-0:20241231-1.fc44 100% | 5.2 MiB/s | 143.0 KiB | 00m00s [143/177] libffi-0:3.5.2-1.fc44.x86_64 100% | 1.4 MiB/s | 41.1 KiB | 00m00s [144/177] p11-kit-trust-0:0.25.8-1.fc44 100% | 5.1 MiB/s | 139.7 KiB | 00m00s [145/177] p11-kit-0:0.25.8-1.fc44.x86_6 100% | 16.7 MiB/s | 496.2 KiB | 00m00s [146/177] jansson-0:2.14-3.fc43.x86_64 100% | 1.8 MiB/s | 45.3 KiB | 00m00s [147/177] libusb1-0:1.0.29-4.fc44.x86_6 100% | 3.0 MiB/s | 79.9 KiB | 00m00s [148/177] alternatives-0:1.33-3.fc44.x8 100% | 1.4 MiB/s | 40.8 KiB | 00m00s [149/177] libtasn1-0:4.20.0-2.fc43.x86_ 100% | 2.5 MiB/s | 74.5 KiB | 00m00s [150/177] libevent-0:2.1.12-16.fc43.x86 100% | 9.0 MiB/s | 257.8 KiB | 00m00s [151/177] cyrus-sasl-lib-0:2.1.28-33.fc 100% | 24.3 MiB/s | 796.5 KiB | 00m00s [152/177] libtool-ltdl-0:2.5.4-8.fc44.x 100% | 1.2 MiB/s | 36.2 KiB | 00m00s [153/177] libidn2-0:2.3.8-2.fc43.x86_64 100% | 5.9 MiB/s | 168.9 KiB | 00m00s [154/177] libunistring-0:1.1-10.fc43.x8 100% | 20.4 MiB/s | 542.9 KiB | 00m00s [155/177] gdbm-libs-1:1.23-10.fc43.x86_ 100% | 2.2 MiB/s | 56.8 KiB | 00m00s [156/177] fedora-release-0:44-0.8.noarc 100% | 533.2 KiB/s | 13.3 KiB | 00m00s [157/177] nettle-0:3.10.1-2.fc43.x86_64 100% | 13.4 MiB/s | 424.2 KiB | 00m00s [158/177] systemd-standalone-sysusers-0 100% | 4.8 MiB/s | 143.1 KiB | 00m00s [159/177] xxhash-libs-0:0.8.3-3.fc43.x8 100% | 1.5 MiB/s | 38.5 KiB | 00m00s [160/177] gdb-minimal-0:16.3-6.fc44.x86 100% | 88.1 MiB/s | 4.4 MiB | 00m00s [161/177] fedora-release-identity-basic 100% | 522.2 KiB/s | 14.1 KiB | 00m00s [162/177] libcurl-0:8.17.0-4.fc44.x86_6 100% | 13.9 MiB/s | 412.5 KiB | 00m00s [163/177] libnghttp2-0:1.68.0-2.fc44.x8 100% | 2.5 MiB/s | 72.9 KiB | 00m00s [164/177] policycoreutils-0:3.9-5.fc44. 100% | 7.8 MiB/s | 190.6 KiB | 00m00s [165/177] selinux-policy-0:42.19-1.fc44 100% | 2.3 MiB/s | 65.4 KiB | 00m00s [166/177] libselinux-utils-0:3.9-5.fc44 100% | 4.1 MiB/s | 109.9 KiB | 00m00s [167/177] selinux-policy-targeted-0:42. 100% | 111.8 MiB/s | 6.6 MiB | 00m00s [168/177] rpm-plugin-selinux-0:6.0.0-1. 100% | 672.1 KiB/s | 19.5 KiB | 00m00s [169/177] libbrotli-0:1.1.0-10.fc44.x86 100% | 12.7 MiB/s | 339.1 KiB | 00m00s [170/177] krb5-libs-0:1.21.3-10.fc44.x8 100% | 22.4 MiB/s | 757.0 KiB | 00m00s [171/177] libpsl-0:0.21.5-6.fc43.x86_64 100% | 2.3 MiB/s | 65.0 KiB | 00m00s [172/177] libssh-0:0.11.3-1.fc44.x86_64 100% | 8.4 MiB/s | 232.8 KiB | 00m00s [173/177] libssh-config-0:0.11.3-1.fc44 100% | 350.4 KiB/s | 9.1 KiB | 00m00s [174/177] keyutils-libs-0:1.6.3-6.fc43. 100% | 1.1 MiB/s | 31.4 KiB | 00m00s [175/177] libcom_err-0:1.47.3-3.fc44.x8 100% | 1.0 MiB/s | 26.9 KiB | 00m00s [176/177] libverto-0:0.3.2-11.fc43.x86_ 100% | 795.2 KiB/s | 20.7 KiB | 00m00s [177/177] publicsuffix-list-dafsa-0:202 100% | 2.1 MiB/s | 59.2 KiB | 00m00s -------------------------------------------------------------------------------- [177/177] Total 100% | 33.6 MiB/s | 65.9 MiB | 00m02s Running transaction [ 1/179] Verify package files 100% | 912.0 B/s | 177.0 B | 00m00s [ 2/179] Prepare transaction 100% | 4.2 KiB/s | 177.0 B | 00m00s [ 3/179] Installing libgcc-0:15.2.1-4. 100% | 262.0 MiB/s | 268.3 KiB | 00m00s [ 4/179] Installing publicsuffix-list- 100% | 0.0 B/s | 69.8 KiB | 00m00s [ 5/179] Installing libssh-config-0:0. 100% | 0.0 B/s | 816.0 B | 00m00s [ 6/179] Installing fedora-release-ide 100% | 0.0 B/s | 920.0 B | 00m00s [ 7/179] Installing fedora-repos-rawhi 100% | 0.0 B/s | 2.4 KiB | 00m00s [ 8/179] Installing fedora-gpg-keys-0: 100% | 58.3 MiB/s | 179.0 KiB | 00m00s [ 9/179] Installing fedora-repos-0:44- 100% | 0.0 B/s | 5.7 KiB | 00m00s [ 10/179] Installing fedora-release-com 100% | 24.5 MiB/s | 25.1 KiB | 00m00s [ 11/179] Installing fedora-release-0:4 100% | 15.1 KiB/s | 124.0 B | 00m00s >>> Running sysusers scriptlet: setup-0:2.15.0-27.fc44.noarch >>> Finished sysusers scriptlet: setup-0:2.15.0-27.fc44.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. >>> [ 12/179] Installing setup-0:2.15.0-27. 100% | 59.5 MiB/s | 730.6 KiB | 00m00s >>> [RPM] /etc/hosts created as /etc/hosts.rpmnew [ 13/179] Installing filesystem-0:3.18- 100% | 3.2 MiB/s | 212.8 KiB | 00m00s [ 14/179] Installing gnulib-l10n-0:2024 100% | 215.5 MiB/s | 661.9 KiB | 00m00s [ 15/179] Installing coreutils-common-0 100% | 431.9 MiB/s | 11.2 MiB | 00m00s [ 16/179] Installing pcre2-syntax-0:10. 100% | 277.7 MiB/s | 284.3 KiB | 00m00s [ 17/179] Installing rust-srpm-macros-0 100% | 0.0 B/s | 6.4 KiB | 00m00s [ 18/179] Installing qt6-srpm-macros-0: 100% | 0.0 B/s | 740.0 B | 00m00s [ 19/179] Installing qt5-srpm-macros-0: 100% | 0.0 B/s | 776.0 B | 00m00s [ 20/179] Installing perl-srpm-macros-0 100% | 0.0 B/s | 1.1 KiB | 00m00s [ 21/179] Installing package-notes-srpm 100% | 0.0 B/s | 2.0 KiB | 00m00s [ 22/179] Installing openblas-srpm-macr 100% | 0.0 B/s | 392.0 B | 00m00s [ 23/179] Installing ocaml-srpm-macros- 100% | 0.0 B/s | 2.1 KiB | 00m00s [ 24/179] Installing kernel-srpm-macros 100% | 0.0 B/s | 2.3 KiB | 00m00s [ 25/179] Installing gnat-srpm-macros-0 100% | 0.0 B/s | 1.3 KiB | 00m00s [ 26/179] Installing ghc-srpm-macros-0: 100% | 0.0 B/s | 1.0 KiB | 00m00s [ 27/179] Installing fpc-srpm-macros-0: 100% | 0.0 B/s | 420.0 B | 00m00s [ 28/179] Installing ansible-srpm-macro 100% | 0.0 B/s | 36.2 KiB | 00m00s [ 29/179] Installing pkgconf-m4-0:2.3.0 100% | 0.0 B/s | 14.8 KiB | 00m00s [ 30/179] Installing ncurses-base-0:6.5 100% | 115.1 MiB/s | 353.5 KiB | 00m00s [ 31/179] Installing glibc-minimal-lang 100% | 0.0 B/s | 124.0 B | 00m00s [ 32/179] Installing ncurses-libs-0:6.5 100% | 310.1 MiB/s | 952.8 KiB | 00m00s [ 33/179] Installing glibc-0:2.42.9000- 100% | 244.8 MiB/s | 6.9 MiB | 00m00s [ 34/179] Installing bash-0:5.3.0-2.fc4 100% | 324.2 MiB/s | 8.4 MiB | 00m00s [ 35/179] Installing glibc-common-0:2.4 100% | 73.0 MiB/s | 1.0 MiB | 00m00s [ 36/179] Installing glibc-gconv-extra- 100% | 304.8 MiB/s | 7.3 MiB | 00m00s [ 37/179] Installing zlib-ng-compat-0:2 100% | 158.7 MiB/s | 162.5 KiB | 00m00s [ 38/179] Installing bzip2-libs-0:1.0.8 100% | 0.0 B/s | 81.7 KiB | 00m00s [ 39/179] Installing libgpg-error-0:1.5 100% | 75.1 MiB/s | 922.5 KiB | 00m00s [ 40/179] Installing libstdc++-0:15.2.1 100% | 474.0 MiB/s | 2.8 MiB | 00m00s [ 41/179] Installing libassuan-0:2.5.7- 100% | 161.7 MiB/s | 165.6 KiB | 00m00s [ 42/179] Installing libgcrypt-0:1.11.2 100% | 394.0 MiB/s | 1.6 MiB | 00m00s [ 43/179] Installing libuuid-0:2.41.2-9 100% | 0.0 B/s | 38.5 KiB | 00m00s [ 44/179] Installing xz-libs-1:5.8.1-4. 100% | 213.8 MiB/s | 218.9 KiB | 00m00s [ 45/179] Installing readline-0:8.3-2.f 100% | 501.8 MiB/s | 513.9 KiB | 00m00s [ 46/179] Installing gmp-1:6.3.0-4.fc44 100% | 399.2 MiB/s | 817.5 KiB | 00m00s [ 47/179] Installing popt-0:1.19-9.fc43 100% | 68.1 MiB/s | 139.4 KiB | 00m00s [ 48/179] Installing libzstd-0:1.5.7-3. 100% | 459.7 MiB/s | 941.6 KiB | 00m00s [ 49/179] Installing elfutils-libelf-0: 100% | 560.5 MiB/s | 1.1 MiB | 00m00s [ 50/179] Installing npth-0:1.8-3.fc43. 100% | 0.0 B/s | 50.7 KiB | 00m00s [ 51/179] Installing libblkid-0:2.41.2- 100% | 257.2 MiB/s | 263.4 KiB | 00m00s [ 52/179] Installing libsepol-0:3.9-2.f 100% | 401.8 MiB/s | 822.9 KiB | 00m00s [ 53/179] Installing libxcrypt-0:4.5.2- 100% | 281.3 MiB/s | 288.0 KiB | 00m00s [ 54/179] Installing systemd-libs-0:259 100% | 390.1 MiB/s | 2.3 MiB | 00m00s [ 55/179] Installing sqlite-libs-0:3.51 100% | 383.0 MiB/s | 1.5 MiB | 00m00s [ 56/179] Installing gnupg2-gpgconf-0:2 100% | 13.7 MiB/s | 252.0 KiB | 00m00s [ 57/179] Installing crypto-policies-0: 100% | 51.3 MiB/s | 157.7 KiB | 00m00s [ 58/179] Installing libattr-0:2.5.2-6. 100% | 0.0 B/s | 25.4 KiB | 00m00s [ 59/179] Installing libacl-0:2.3.2-4.f 100% | 0.0 B/s | 36.8 KiB | 00m00s [ 60/179] Installing pcre2-0:10.47-1.fc 100% | 343.8 MiB/s | 704.1 KiB | 00m00s [ 61/179] Installing libselinux-0:3.9-5 100% | 189.8 MiB/s | 194.4 KiB | 00m00s [ 62/179] Installing grep-0:3.12-2.fc43 100% | 71.6 MiB/s | 1.0 MiB | 00m00s [ 63/179] Installing sed-0:4.9-6.fc44.x 100% | 65.0 MiB/s | 865.5 KiB | 00m00s [ 64/179] Installing findutils-1:4.10.0 100% | 132.7 MiB/s | 1.9 MiB | 00m00s [ 65/179] Installing libtasn1-0:4.20.0- 100% | 173.9 MiB/s | 178.1 KiB | 00m00s [ 66/179] Installing libunistring-0:1.1 100% | 431.7 MiB/s | 1.7 MiB | 00m00s [ 67/179] Installing libidn2-0:2.3.8-2. 100% | 272.8 MiB/s | 558.7 KiB | 00m00s [ 68/179] Installing xz-1:5.8.1-4.fc44. 100% | 95.1 MiB/s | 1.3 MiB | 00m00s [ 69/179] Installing libmount-0:2.41.2- 100% | 365.1 MiB/s | 373.8 KiB | 00m00s [ 70/179] Installing gnupg2-verify-0:2. 100% | 31.1 MiB/s | 349.9 KiB | 00m00s [ 71/179] Installing dwz-0:0.16-2.fc43. 100% | 28.2 MiB/s | 288.5 KiB | 00m00s [ 72/179] Installing mpfr-0:4.2.2-2.fc4 100% | 407.4 MiB/s | 834.4 KiB | 00m00s [ 73/179] Installing gawk-0:5.3.2-2.fc4 100% | 129.7 MiB/s | 1.8 MiB | 00m00s [ 74/179] Installing libksba-0:1.6.7-4. 100% | 391.7 MiB/s | 401.1 KiB | 00m00s [ 75/179] Installing unzip-0:6.0-68.fc4 100% | 35.0 MiB/s | 393.8 KiB | 00m00s [ 76/179] Installing file-libs-0:5.46-8 100% | 741.1 MiB/s | 11.9 MiB | 00m00s [ 77/179] Installing file-0:5.46-8.fc44 100% | 9.9 MiB/s | 101.7 KiB | 00m00s [ 78/179] Installing diffutils-0:3.12-3 100% | 111.5 MiB/s | 1.6 MiB | 00m00s [ 79/179] Installing libsmartcols-0:2.4 100% | 177.4 MiB/s | 181.6 KiB | 00m00s [ 80/179] Installing libcap-ng-0:0.8.5- 100% | 0.0 B/s | 70.8 KiB | 00m00s [ 81/179] Installing audit-libs-0:4.1.2 100% | 372.6 MiB/s | 381.5 KiB | 00m00s [ 82/179] Installing libsemanage-0:3.9- 100% | 303.0 MiB/s | 310.2 KiB | 00m00s [ 83/179] Installing libeconf-0:0.7.9-2 100% | 0.0 B/s | 66.5 KiB | 00m00s [ 84/179] Installing pam-libs-0:1.7.1-3 100% | 126.0 MiB/s | 129.0 KiB | 00m00s [ 85/179] Installing libcap-0:2.77-1.fc 100% | 19.0 MiB/s | 214.3 KiB | 00m00s [ 86/179] Installing lua-libs-0:5.4.8-4 100% | 276.7 MiB/s | 283.3 KiB | 00m00s [ 87/179] Installing json-c-0:0.18-7.fc 100% | 0.0 B/s | 84.0 KiB | 00m00s [ 88/179] Installing libffi-0:3.5.2-1.f 100% | 83.2 MiB/s | 85.2 KiB | 00m00s [ 89/179] Installing p11-kit-0:0.25.8-1 100% | 134.7 MiB/s | 2.3 MiB | 00m00s [ 90/179] Installing alternatives-0:1.3 100% | 6.2 MiB/s | 63.8 KiB | 00m00s [ 91/179] Installing p11-kit-trust-0:0. 100% | 24.3 MiB/s | 448.3 KiB | 00m00s [ 92/179] Installing openssl-libs-1:3.5 100% | 424.3 MiB/s | 8.9 MiB | 00m00s [ 93/179] Installing coreutils-0:9.9-1. 100% | 182.9 MiB/s | 5.5 MiB | 00m00s [ 94/179] Installing ca-certificates-0: 100% | 2.3 MiB/s | 2.5 MiB | 00m01s [ 95/179] Installing gzip-0:1.14-1.fc44 100% | 32.8 MiB/s | 403.3 KiB | 00m00s [ 96/179] Installing rpm-sequoia-0:1.9. 100% | 413.1 MiB/s | 2.5 MiB | 00m00s [ 97/179] Installing libfsverity-0:1.6- 100% | 0.0 B/s | 29.5 KiB | 00m00s [ 98/179] Installing libevent-0:2.1.12- 100% | 288.7 MiB/s | 886.8 KiB | 00m00s [ 99/179] Installing util-linux-core-0: 100% | 98.6 MiB/s | 1.5 MiB | 00m00s [100/179] Installing zip-0:3.0-44.fc43. 100% | 62.0 MiB/s | 698.4 KiB | 00m00s [101/179] Installing gnupg2-keyboxd-0:2 100% | 33.0 MiB/s | 202.7 KiB | 00m00s [102/179] Installing libpsl-0:0.21.5-6. 100% | 75.7 MiB/s | 77.5 KiB | 00m00s [103/179] Installing tar-2:1.35-6.fc43. 100% | 164.3 MiB/s | 3.0 MiB | 00m00s [104/179] Installing linkdupes-0:0.7.2- 100% | 68.4 MiB/s | 840.1 KiB | 00m00s [105/179] Installing libselinux-utils-0 100% | 26.3 MiB/s | 323.4 KiB | 00m00s [106/179] Installing liblastlog2-0:2.41 100% | 5.8 MiB/s | 35.9 KiB | 00m00s [107/179] Installing libusb1-0:1.0.29-4 100% | 24.1 MiB/s | 172.9 KiB | 00m00s >>> Running sysusers scriptlet: tpm2-tss-0:4.1.3-8.fc43.x86_64 >>> Finished sysusers scriptlet: tpm2-tss-0:4.1.3-8.fc43.x86_64 >>> Scriptlet output: >>> Creating group 'tss' with GID 59. >>> Creating user 'tss' (Account used for TPM access) with UID 59 and GID 59. >>> [108/179] Installing tpm2-tss-0:4.1.3-8 100% | 314.4 MiB/s | 1.6 MiB | 00m00s [109/179] Installing gnupg2-gpg-agent-0 100% | 34.7 MiB/s | 675.4 KiB | 00m00s [110/179] Installing ima-evm-utils-libs 100% | 60.5 MiB/s | 62.0 KiB | 00m00s [111/179] Installing systemd-standalone 100% | 26.1 MiB/s | 294.2 KiB | 00m00s [112/179] Installing rpm-libs-0:6.0.0-1 100% | 304.5 MiB/s | 935.3 KiB | 00m00s [113/179] Installing libfdisk-0:2.41.2- 100% | 186.3 MiB/s | 381.5 KiB | 00m00s [114/179] Installing util-linux-0:2.41. 100% | 115.3 MiB/s | 3.6 MiB | 00m00s [115/179] Installing policycoreutils-0: 100% | 31.6 MiB/s | 711.8 KiB | 00m00s [116/179] Installing selinux-policy-0:4 100% | 1.7 MiB/s | 33.6 KiB | 00m00s [117/179] Installing selinux-policy-tar 100% | 216.1 MiB/s | 14.9 MiB | 00m00s [118/179] Installing zstd-0:1.5.7-3.fc4 100% | 38.3 MiB/s | 509.8 KiB | 00m00s [119/179] Installing nettle-0:3.10.1-2. 100% | 387.5 MiB/s | 793.7 KiB | 00m00s [120/179] Installing gnutls-0:3.8.11-6. 100% | 405.4 MiB/s | 3.6 MiB | 00m00s [121/179] Installing libxml2-0:2.12.10- 100% | 121.7 MiB/s | 1.7 MiB | 00m00s [122/179] Installing bzip2-0:1.0.8-21.f 100% | 9.7 MiB/s | 99.8 KiB | 00m00s [123/179] Installing add-determinism-0: 100% | 153.7 MiB/s | 2.3 MiB | 00m00s [124/179] Installing build-reproducibil 100% | 0.0 B/s | 1.5 KiB | 00m00s [125/179] Installing filesystem-srpm-ma 100% | 0.0 B/s | 38.9 KiB | 00m00s [126/179] Installing ed-0:1.22.3-1.fc44 100% | 14.8 MiB/s | 151.2 KiB | 00m00s [127/179] Installing patch-0:2.8-2.fc43 100% | 21.9 MiB/s | 224.3 KiB | 00m00s [128/179] Installing elfutils-default-y 100% | 340.5 KiB/s | 2.0 KiB | 00m00s [129/179] Installing elfutils-libs-0:0. 100% | 336.6 MiB/s | 689.3 KiB | 00m00s [130/179] Installing cpio-0:2.15-6.fc43 100% | 78.5 MiB/s | 1.1 MiB | 00m00s [131/179] Installing libgomp-0:15.2.1-4 100% | 530.2 MiB/s | 543.0 KiB | 00m00s [132/179] Installing libpkgconf-0:2.3.0 100% | 0.0 B/s | 79.2 KiB | 00m00s [133/179] Installing pkgconf-0:2.3.0-3. 100% | 8.9 MiB/s | 91.0 KiB | 00m00s [134/179] Installing pkgconf-pkg-config 100% | 177.3 KiB/s | 1.8 KiB | 00m00s [135/179] Installing lz4-libs-0:1.10.0- 100% | 158.6 MiB/s | 162.5 KiB | 00m00s [136/179] Installing libarchive-0:3.8.3 100% | 311.6 MiB/s | 957.2 KiB | 00m00s [137/179] Installing jansson-0:2.14-3.f 100% | 0.0 B/s | 90.5 KiB | 00m00s [138/179] Installing libtool-ltdl-0:2.5 100% | 0.0 B/s | 71.2 KiB | 00m00s [139/179] Installing gdbm-libs-1:1.23-1 100% | 128.5 MiB/s | 131.6 KiB | 00m00s [140/179] Installing cyrus-sasl-lib-0:2 100% | 153.3 MiB/s | 2.3 MiB | 00m00s [141/179] Installing openldap-0:2.6.10- 100% | 324.0 MiB/s | 663.6 KiB | 00m00s [142/179] Installing gnupg2-dirmngr-0:2 100% | 33.7 MiB/s | 621.1 KiB | 00m00s [143/179] Installing gnupg2-0:2.4.8-4.f 100% | 252.0 MiB/s | 6.6 MiB | 00m00s [144/179] Installing rpm-sign-libs-0:6. 100% | 0.0 B/s | 40.6 KiB | 00m00s [145/179] Installing rpm-build-libs-0:6 100% | 262.9 MiB/s | 269.2 KiB | 00m00s [146/179] Installing gpgverify-0:2.2-3. 100% | 0.0 B/s | 9.4 KiB | 00m00s [147/179] Installing xxhash-libs-0:0.8. 100% | 0.0 B/s | 91.6 KiB | 00m00s [148/179] Installing libnghttp2-0:1.68. 100% | 159.5 MiB/s | 163.4 KiB | 00m00s [149/179] Installing libbrotli-0:1.1.0- 100% | 272.0 MiB/s | 835.6 KiB | 00m00s [150/179] Installing keyutils-libs-0:1. 100% | 0.0 B/s | 55.7 KiB | 00m00s [151/179] Installing libcom_err-0:1.47. 100% | 0.0 B/s | 64.2 KiB | 00m00s [152/179] Installing libverto-0:0.3.2-1 100% | 0.0 B/s | 27.2 KiB | 00m00s [153/179] Installing krb5-libs-0:1.21.3 100% | 383.3 MiB/s | 2.3 MiB | 00m00s [154/179] Installing libssh-0:0.11.3-1. 100% | 277.9 MiB/s | 569.2 KiB | 00m00s [155/179] Installing libcurl-0:8.17.0-4 100% | 453.3 MiB/s | 928.4 KiB | 00m00s [156/179] Installing elfutils-debuginfo 100% | 7.7 MiB/s | 86.3 KiB | 00m00s [157/179] Installing elfutils-0:0.194-1 100% | 183.1 MiB/s | 2.9 MiB | 00m00s [158/179] Installing binutils-0:2.45.50 100% | 370.7 MiB/s | 27.1 MiB | 00m00s [159/179] Installing gdb-minimal-0:16.3 100% | 323.3 MiB/s | 13.3 MiB | 00m00s [160/179] Installing debugedit-0:5.2-3. 100% | 19.3 MiB/s | 217.3 KiB | 00m00s [161/179] Installing curl-0:8.17.0-4.fc 100% | 22.7 MiB/s | 464.7 KiB | 00m00s [162/179] Installing rpm-0:6.0.0-1.fc44 100% | 88.8 MiB/s | 2.6 MiB | 00m00s [163/179] Installing java-srpm-macros-0 100% | 0.0 B/s | 1.1 KiB | 00m00s [164/179] Installing efi-srpm-macros-0: 100% | 0.0 B/s | 41.2 KiB | 00m00s [165/179] Installing lua-srpm-macros-0: 100% | 0.0 B/s | 1.9 KiB | 00m00s [166/179] Installing tree-sitter-srpm-m 100% | 0.0 B/s | 9.3 KiB | 00m00s [167/179] Installing zig-srpm-macros-0: 100% | 0.0 B/s | 1.7 KiB | 00m00s [168/179] Installing gap-srpm-macros-0: 100% | 0.0 B/s | 2.7 KiB | 00m00s [169/179] Installing pyproject-srpm-mac 100% | 0.0 B/s | 2.5 KiB | 00m00s [170/179] Installing rpm-build-0:6.0.0- 100% | 24.1 MiB/s | 296.5 KiB | 00m00s [171/179] Installing fonts-srpm-macros- 100% | 0.0 B/s | 57.0 KiB | 00m00s [172/179] Installing forge-srpm-macros- 100% | 0.0 B/s | 40.3 KiB | 00m00s [173/179] Installing go-srpm-macros-0:3 100% | 0.0 B/s | 63.0 KiB | 00m00s [174/179] Installing python-srpm-macros 100% | 0.0 B/s | 52.9 KiB | 00m00s [175/179] Installing redhat-rpm-config- 100% | 185.4 MiB/s | 189.9 KiB | 00m00s [176/179] Installing rpm-plugin-selinux 100% | 0.0 B/s | 13.0 KiB | 00m00s [177/179] Installing which-0:2.23-3.fc4 100% | 7.6 MiB/s | 85.7 KiB | 00m00s [178/179] Installing shadow-utils-2:4.1 100% | 137.0 MiB/s | 4.0 MiB | 00m00s [179/179] Installing info-0:7.2-7.fc44. 100% | 51.9 KiB/s | 358.3 KiB | 00m07s Warning: skipped OpenPGP checks for 177 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-0.7.2-2.fc44.x86_64 alternatives-1.33-3.fc44.x86_64 ansible-srpm-macros-1-18.1.fc43.noarch audit-libs-4.1.2-2.fc44.x86_64 bash-5.3.0-2.fc43.x86_64 binutils-2.45.50-9.fc44.x86_64 build-reproducibility-srpm-macros-0.7.2-2.fc44.noarch bzip2-1.0.8-21.fc43.x86_64 bzip2-libs-1.0.8-21.fc43.x86_64 ca-certificates-2025.2.80_v9.0.304-2.fc44.noarch coreutils-9.9-1.fc44.x86_64 coreutils-common-9.9-1.fc44.x86_64 cpio-2.15-6.fc43.x86_64 crypto-policies-20251128-1.git19878fe.fc44.noarch curl-8.17.0-4.fc44.x86_64 cyrus-sasl-lib-2.1.28-33.fc44.x86_64 debugedit-5.2-3.fc44.x86_64 diffutils-3.12-3.fc43.x86_64 dwz-0.16-2.fc43.x86_64 ed-1.22.3-1.fc44.x86_64 efi-srpm-macros-6-5.fc44.noarch elfutils-0.194-1.fc44.x86_64 elfutils-debuginfod-client-0.194-1.fc44.x86_64 elfutils-default-yama-scope-0.194-1.fc44.noarch elfutils-libelf-0.194-1.fc44.x86_64 elfutils-libs-0.194-1.fc44.x86_64 fedora-gpg-keys-44-0.1.noarch fedora-release-44-0.8.noarch fedora-release-common-44-0.8.noarch fedora-release-identity-basic-44-0.8.noarch fedora-repos-44-0.1.noarch fedora-repos-rawhide-44-0.1.noarch file-5.46-8.fc44.x86_64 file-libs-5.46-8.fc44.x86_64 filesystem-3.18-50.fc43.x86_64 filesystem-srpm-macros-3.18-50.fc43.noarch findutils-4.10.0-6.fc43.x86_64 fonts-srpm-macros-5.0.0-1.fc44.noarch forge-srpm-macros-0.4.0-3.fc43.noarch fpc-srpm-macros-1.3-15.fc43.noarch gap-srpm-macros-2-1.fc44.noarch gawk-5.3.2-2.fc43.x86_64 gdb-minimal-16.3-6.fc44.x86_64 gdbm-libs-1.23-10.fc43.x86_64 ghc-srpm-macros-1.9.2-3.fc43.noarch glibc-2.42.9000-14.fc44.x86_64 glibc-common-2.42.9000-14.fc44.x86_64 glibc-gconv-extra-2.42.9000-14.fc44.x86_64 glibc-minimal-langpack-2.42.9000-14.fc44.x86_64 gmp-6.3.0-4.fc44.x86_64 gnat-srpm-macros-6-8.fc43.noarch gnulib-l10n-20241231-1.fc44.noarch gnupg2-2.4.8-4.fc43.x86_64 gnupg2-dirmngr-2.4.8-4.fc43.x86_64 gnupg2-gpg-agent-2.4.8-4.fc43.x86_64 gnupg2-gpgconf-2.4.8-4.fc43.x86_64 gnupg2-keyboxd-2.4.8-4.fc43.x86_64 gnupg2-verify-2.4.8-4.fc43.x86_64 gnutls-3.8.11-6.fc44.x86_64 go-srpm-macros-3.8.0-1.fc44.noarch gpgverify-2.2-3.fc43.noarch grep-3.12-2.fc43.x86_64 gzip-1.14-1.fc44.x86_64 ima-evm-utils-libs-1.6.2-7.fc44.x86_64 info-7.2-7.fc44.x86_64 jansson-2.14-3.fc43.x86_64 java-srpm-macros-1-7.fc43.noarch json-c-0.18-7.fc43.x86_64 kernel-srpm-macros-1.0-27.fc43.noarch keyutils-libs-1.6.3-6.fc43.x86_64 krb5-libs-1.21.3-10.fc44.x86_64 libacl-2.3.2-4.fc43.x86_64 libarchive-3.8.3-1.fc44.x86_64 libassuan-2.5.7-4.fc43.x86_64 libattr-2.5.2-6.fc43.x86_64 libblkid-2.41.2-9.fc44.x86_64 libbrotli-1.1.0-10.fc44.x86_64 libcap-2.77-1.fc44.x86_64 libcap-ng-0.8.5-8.fc44.x86_64 libcom_err-1.47.3-3.fc44.x86_64 libcurl-8.17.0-4.fc44.x86_64 libeconf-0.7.9-2.fc43.x86_64 libevent-2.1.12-16.fc43.x86_64 libfdisk-2.41.2-9.fc44.x86_64 libffi-3.5.2-1.fc44.x86_64 libfsverity-1.6-3.fc43.x86_64 libgcc-15.2.1-4.fc44.x86_64 libgcrypt-1.11.2-1.fc44.x86_64 libgomp-15.2.1-4.fc44.x86_64 libgpg-error-1.56-1.fc44.x86_64 libidn2-2.3.8-2.fc43.x86_64 libksba-1.6.7-4.fc43.x86_64 liblastlog2-2.41.2-9.fc44.x86_64 libmount-2.41.2-9.fc44.x86_64 libnghttp2-1.68.0-2.fc44.x86_64 libpkgconf-2.3.0-3.fc43.x86_64 libpsl-0.21.5-6.fc43.x86_64 libselinux-3.9-5.fc44.x86_64 libselinux-utils-3.9-5.fc44.x86_64 libsemanage-3.9-4.fc44.x86_64 libsepol-3.9-2.fc43.x86_64 libsmartcols-2.41.2-9.fc44.x86_64 libssh-0.11.3-1.fc44.x86_64 libssh-config-0.11.3-1.fc44.noarch libstdc++-15.2.1-4.fc44.x86_64 libtasn1-4.20.0-2.fc43.x86_64 libtool-ltdl-2.5.4-8.fc44.x86_64 libunistring-1.1-10.fc43.x86_64 libusb1-1.0.29-4.fc44.x86_64 libuuid-2.41.2-9.fc44.x86_64 libverto-0.3.2-11.fc43.x86_64 libxcrypt-4.5.2-1.fc44.x86_64 libxml2-2.12.10-5.fc44.x86_64 libzstd-1.5.7-3.fc44.x86_64 linkdupes-0.7.2-2.fc44.x86_64 lua-libs-5.4.8-4.fc44.x86_64 lua-srpm-macros-1-16.fc43.noarch lz4-libs-1.10.0-3.fc43.x86_64 mpfr-4.2.2-2.fc43.x86_64 ncurses-base-6.5-7.20250614.fc43.noarch ncurses-libs-6.5-7.20250614.fc43.x86_64 nettle-3.10.1-2.fc43.x86_64 npth-1.8-3.fc43.x86_64 ocaml-srpm-macros-11-2.fc43.noarch openblas-srpm-macros-2-20.fc43.noarch openldap-2.6.10-4.fc44.x86_64 openssl-libs-3.5.4-1.fc44.x86_64 p11-kit-0.25.8-1.fc44.x86_64 p11-kit-trust-0.25.8-1.fc44.x86_64 package-notes-srpm-macros-0.5-14.fc43.noarch pam-libs-1.7.1-3.fc43.x86_64 patch-2.8-2.fc43.x86_64 pcre2-10.47-1.fc44.x86_64 pcre2-syntax-10.47-1.fc44.noarch perl-srpm-macros-1-60.fc43.noarch pkgconf-2.3.0-3.fc43.x86_64 pkgconf-m4-2.3.0-3.fc43.noarch pkgconf-pkg-config-2.3.0-3.fc43.x86_64 policycoreutils-3.9-5.fc44.x86_64 popt-1.19-9.fc43.x86_64 publicsuffix-list-dafsa-20250616-2.fc43.noarch pyproject-srpm-macros-1.18.6-1.fc44.noarch python-srpm-macros-3.14-9.fc44.noarch qt5-srpm-macros-5.15.18-1.fc44.noarch qt6-srpm-macros-6.10.1-1.fc44.noarch readline-8.3-2.fc43.x86_64 redhat-rpm-config-343-16.fc44.noarch rpm-6.0.0-1.fc44.x86_64 rpm-build-6.0.0-1.fc44.x86_64 rpm-build-libs-6.0.0-1.fc44.x86_64 rpm-libs-6.0.0-1.fc44.x86_64 rpm-plugin-selinux-6.0.0-1.fc44.x86_64 rpm-sequoia-1.9.0-2.fc43.x86_64 rpm-sign-libs-6.0.0-1.fc44.x86_64 rust-srpm-macros-28.2-1.fc44.noarch sed-4.9-6.fc44.x86_64 selinux-policy-42.19-1.fc44.noarch selinux-policy-targeted-42.19-1.fc44.noarch setup-2.15.0-27.fc44.noarch shadow-utils-4.18.0-7.fc44.x86_64 sqlite-libs-3.51.0-1.fc44.x86_64 systemd-libs-259~rc2-2.fc44.x86_64 systemd-standalone-sysusers-259~rc2-2.fc44.x86_64 tar-1.35-6.fc43.x86_64 tpm2-tss-4.1.3-8.fc43.x86_64 tree-sitter-srpm-macros-0.4.2-1.fc43.noarch unzip-6.0-68.fc44.x86_64 util-linux-2.41.2-9.fc44.x86_64 util-linux-core-2.41.2-9.fc44.x86_64 which-2.23-3.fc43.x86_64 xxhash-libs-0.8.3-3.fc43.x86_64 xz-5.8.1-4.fc44.x86_64 xz-libs-5.8.1-4.fc44.x86_64 zig-srpm-macros-1-5.fc43.noarch zip-3.0-44.fc43.x86_64 zlib-ng-compat-2.3.2-1.fc44.x86_64 zstd-1.5.7-3.fc44.x86_64 Start: buildsrpm Start: rpmbuild -bs Building target platforms: x86_64 Building for target x86_64 setting SOURCE_DATE_EPOCH=1764720000 Wrote: /builddir/build/SRPMS/python-scikit-learn-1.8.0~rc1-1.fc44.src.rpm Finish: rpmbuild -bs INFO: chroot_scan: 1 files copied to /var/lib/copr-rpmbuild/results/chroot_scan INFO: /var/lib/mock/fedora-42-x86_64-1765206034.077258/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-zywvhrif/python-scikit-learn/python-scikit-learn.spec) Config(child) 0 minutes 32 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-1.8.0~rc1-1.fc44.src.rpm) Config(fedora-42-x86_64) Start(bootstrap): chroot init INFO: mounting tmpfs at /var/lib/mock/fedora-42-x86_64-bootstrap-1765206034.077258/root. INFO: reusing tmpfs at /var/lib/mock/fedora-42-x86_64-bootstrap-1765206034.077258/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-42-x86_64-1765206034.077258/root. INFO: calling preinit hooks INFO: enabled root cache Start: unpacking root cache Finish: unpacking root cache INFO: enabled package manager cache Start: cleaning package manager metadata Finish: cleaning package manager metadata INFO: enabled HW Info plugin INFO: Buildroot is handled by package management downloaded with a bootstrap image: rpm-4.20.1-1.fc42.x86_64 rpm-sequoia-1.7.0-5.fc42.x86_64 dnf5-5.2.17.0-1.fc42.x86_64 dnf5-plugins-5.2.17.0-1.fc42.x86_64 Finish: chroot init Start: build phase for python-scikit-learn-1.8.0~rc1-1.fc44.src.rpm Start: build setup for python-scikit-learn-1.8.0~rc1-1.fc44.src.rpm Building target platforms: x86_64 Building for target x86_64 setting SOURCE_DATE_EPOCH=1764720000 Wrote: /builddir/build/SRPMS/python-scikit-learn-1.8.0~rc1-1.fc44.src.rpm Updating and loading repositories: Additional repo http_kojipkgs_fedorapr 100% | 52.5 KiB/s | 3.8 KiB | 00m00s Copr repository 100% | 21.0 KiB/s | 1.5 KiB | 00m00s fedora 100% | 76.0 KiB/s | 32.5 KiB | 00m00s updates 100% | 202.3 KiB/s | 31.4 KiB | 00m00s Repositories loaded. Package Arch Version Repository Size Installing: gcc x86_64 15.2.1-4.fc44 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 111.9 MiB gcc-c++ x86_64 15.2.1-4.fc44 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 41.4 MiB python3-devel x86_64 3.14.2-1.fc44 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.9 MiB python3-joblib noarch 1.5.2-1.fc44 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 2.3 MiB python3-psutil x86_64 7.0.0-8.fc44 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.4 MiB python3-pytest noarch 8.4.2-1.fc44 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 22.5 MiB python3-setuptools noarch 80.9.0-2.fc44 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 8.6 MiB python3-threadpoolctl noarch 3.5.0-10.fc44 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 137.4 KiB Installing dependencies: annobin-docs noarch 13.03-1.fc44 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 99.2 KiB annobin-plugin-gcc x86_64 13.03-1.fc44 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 695.8 KiB cpp x86_64 15.2.1-4.fc44 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 37.9 MiB expat x86_64 2.7.3-1.fc44 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 301.1 KiB gcc-plugin-annobin x86_64 15.2.1-4.fc44 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 57.1 KiB glibc-devel x86_64 2.42.9000-14.fc44 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 2.3 MiB kernel-headers x86_64 6.18.0-65.fc44 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 6.8 MiB libmpc x86_64 1.3.1-8.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 160.6 KiB libstdc++-devel x86_64 15.2.1-4.fc44 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 37.2 MiB libxcrypt-devel x86_64 4.5.2-1.fc44 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 31.0 KiB make x86_64 1:4.4.1-11.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.8 MiB mpdecimal x86_64 4.0.1-2.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 217.2 KiB pyproject-rpm-macros noarch 1.18.6-1.fc44 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 115.6 KiB python-pip-wheel noarch 25.3-1.fc44 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.2 MiB python-rpm-macros noarch 3.14-9.fc44 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 27.6 KiB python3 x86_64 3.14.2-1.fc44 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 28.9 KiB python3-cloudpickle noarch 3.1.2-1.fc44 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 129.7 KiB python3-iniconfig noarch 2.3.0-1.fc44 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 49.3 KiB python3-libs x86_64 3.14.2-1.fc44 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 43.1 MiB python3-packaging noarch 25.0-7.fc44 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 607.4 KiB python3-pluggy noarch 1.6.0-4.fc44 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 211.0 KiB python3-pygments noarch 2.19.1-7.fc44 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 11.3 MiB python3-rpm-generators noarch 14-13.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 81.7 KiB python3-rpm-macros noarch 3.14-9.fc44 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: 33 packages Total size of inbound packages is 96 MiB. Need to download 96 MiB. After this operation, 336 MiB extra will be used (install 336 MiB, remove 0 B). [ 1/33] python3-devel-0:3.14.2-1.fc44.x 100% | 2.8 MiB/s | 387.7 KiB | 00m00s [ 2/33] python3-joblib-0:1.5.2-1.fc44.n 100% | 7.6 MiB/s | 545.5 KiB | 00m00s [ 3/33] python3-psutil-0:7.0.0-8.fc44.x 100% | 8.6 MiB/s | 255.0 KiB | 00m00s [ 4/33] python3-setuptools-0:80.9.0-2.f 100% | 22.1 MiB/s | 1.8 MiB | 00m00s [ 5/33] python3-threadpoolctl-0:3.5.0-1 100% | 1.1 MiB/s | 45.0 KiB | 00m00s [ 6/33] gcc-c++-0:15.2.1-4.fc44.x86_64 100% | 35.2 MiB/s | 15.3 MiB | 00m00s [ 7/33] libstdc++-devel-0:15.2.1-4.fc44 100% | 92.1 MiB/s | 5.2 MiB | 00m00s [ 8/33] cpp-0:15.2.1-4.fc44.x86_64 100% | 84.4 MiB/s | 12.9 MiB | 00m00s [ 9/33] gcc-0:15.2.1-4.fc44.x86_64 100% | 71.3 MiB/s | 39.7 MiB | 00m01s [10/33] python3-0:3.14.2-1.fc44.x86_64 100% | 435.0 KiB/s | 27.8 KiB | 00m00s [11/33] python3-cloudpickle-0:3.1.2-1.f 100% | 1.7 MiB/s | 48.2 KiB | 00m00s [12/33] python3-pytest-0:8.4.2-1.fc44.n 100% | 54.6 MiB/s | 2.2 MiB | 00m00s [13/33] python3-libs-0:3.14.2-1.fc44.x8 100% | 89.8 MiB/s | 9.5 MiB | 00m00s [14/33] python3-iniconfig-0:2.3.0-1.fc4 100% | 789.1 KiB/s | 26.0 KiB | 00m00s [15/33] python3-packaging-0:25.0-7.fc44 100% | 5.7 MiB/s | 151.2 KiB | 00m00s [16/33] python3-pluggy-0:1.6.0-4.fc44.n 100% | 2.0 MiB/s | 56.1 KiB | 00m00s [17/33] expat-0:2.7.3-1.fc44.x86_64 100% | 4.5 MiB/s | 119.9 KiB | 00m00s [18/33] python3-pygments-0:2.19.1-7.fc4 100% | 67.7 MiB/s | 2.5 MiB | 00m00s [19/33] mpdecimal-0:4.0.1-2.fc43.x86_64 100% | 3.1 MiB/s | 97.1 KiB | 00m00s [20/33] tzdata-0:2025b-3.fc43.noarch 100% | 13.5 MiB/s | 429.3 KiB | 00m00s [21/33] python-pip-wheel-0:25.3-1.fc44. 100% | 24.1 MiB/s | 1.1 MiB | 00m00s [22/33] libmpc-0:1.3.1-8.fc43.x86_64 100% | 2.3 MiB/s | 70.4 KiB | 00m00s [23/33] glibc-devel-0:2.42.9000-14.fc44 100% | 16.9 MiB/s | 519.4 KiB | 00m00s [24/33] make-1:4.4.1-11.fc43.x86_64 100% | 18.2 MiB/s | 578.1 KiB | 00m00s [25/33] kernel-headers-0:6.18.0-65.fc44 100% | 44.4 MiB/s | 1.6 MiB | 00m00s [26/33] libxcrypt-devel-0:4.5.2-1.fc44. 100% | 968.1 KiB/s | 30.0 KiB | 00m00s [27/33] gcc-plugin-annobin-0:15.2.1-4.f 100% | 2.0 MiB/s | 58.4 KiB | 00m00s [28/33] pyproject-rpm-macros-0:1.18.6-1 100% | 1.6 MiB/s | 44.6 KiB | 00m00s [29/33] python-rpm-macros-0:3.14-9.fc44 100% | 726.6 KiB/s | 19.6 KiB | 00m00s [30/33] python3-rpm-macros-0:3.14-9.fc4 100% | 450.6 KiB/s | 12.2 KiB | 00m00s [31/33] python3-rpm-generators-0:14-13. 100% | 1.0 MiB/s | 28.5 KiB | 00m00s [32/33] annobin-plugin-gcc-0:13.03-1.fc 100% | 21.5 MiB/s | 682.8 KiB | 00m00s [33/33] annobin-docs-0:13.03-1.fc44.noa 100% | 3.5 MiB/s | 89.4 KiB | 00m00s -------------------------------------------------------------------------------- [33/33] Total 100% | 118.0 MiB/s | 95.9 MiB | 00m01s Running transaction [ 1/35] Verify package files 100% | 127.0 B/s | 33.0 B | 00m00s [ 2/35] Prepare transaction 100% | 785.0 B/s | 33.0 B | 00m00s [ 3/35] Installing python-rpm-macros-0: 100% | 0.0 B/s | 28.5 KiB | 00m00s [ 4/35] Installing libmpc-0:1.3.1-8.fc4 100% | 158.3 MiB/s | 162.1 KiB | 00m00s [ 5/35] Installing python3-rpm-macros-0 100% | 0.0 B/s | 6.8 KiB | 00m00s [ 6/35] Installing pyproject-rpm-macros 100% | 114.8 MiB/s | 117.5 KiB | 00m00s [ 7/35] Installing cpp-0:15.2.1-4.fc44. 100% | 383.4 MiB/s | 38.0 MiB | 00m00s [ 8/35] Installing annobin-docs-0:13.03 100% | 98.0 MiB/s | 100.3 KiB | 00m00s [ 9/35] Installing kernel-headers-0:6.1 100% | 247.9 MiB/s | 6.9 MiB | 00m00s [10/35] Installing libxcrypt-devel-0:4. 100% | 32.5 MiB/s | 33.3 KiB | 00m00s [11/35] Installing glibc-devel-0:2.42.9 100% | 215.6 MiB/s | 2.4 MiB | 00m00s [12/35] Installing make-1:4.4.1-11.fc43 100% | 112.5 MiB/s | 1.8 MiB | 00m00s [13/35] Installing gcc-0:15.2.1-4.fc44. 100% | 446.2 MiB/s | 112.0 MiB | 00m00s [14/35] Installing tzdata-0:2025b-3.fc4 100% | 72.8 MiB/s | 1.9 MiB | 00m00s [15/35] Installing python-pip-wheel-0:2 100% | 602.0 MiB/s | 1.2 MiB | 00m00s [16/35] Installing mpdecimal-0:4.0.1-2. 100% | 213.7 MiB/s | 218.8 KiB | 00m00s [17/35] Installing expat-0:2.7.3-1.fc44 100% | 21.1 MiB/s | 303.2 KiB | 00m00s [18/35] Installing python3-libs-0:3.14. 100% | 384.8 MiB/s | 43.5 MiB | 00m00s [19/35] Installing python3-0:3.14.2-1.f 100% | 2.7 MiB/s | 30.6 KiB | 00m00s [20/35] Installing python3-packaging-0: 100% | 302.7 MiB/s | 619.9 KiB | 00m00s [21/35] Installing python3-rpm-generato 100% | 0.0 B/s | 82.9 KiB | 00m00s [22/35] Installing python3-cloudpickle- 100% | 130.4 MiB/s | 133.5 KiB | 00m00s [23/35] Installing python3-iniconfig-0: 100% | 52.4 MiB/s | 53.7 KiB | 00m00s [24/35] Installing python3-pluggy-0:1.6 100% | 70.8 MiB/s | 217.5 KiB | 00m00s [25/35] Installing python3-pygments-0:2 100% | 249.7 MiB/s | 11.5 MiB | 00m00s [26/35] Installing libstdc++-devel-0:15 100% | 533.0 MiB/s | 37.3 MiB | 00m00s [27/35] Installing gcc-c++-0:15.2.1-4.f 100% | 397.8 MiB/s | 41.4 MiB | 00m00s [28/35] Installing python3-pytest-0:8.4 100% | 419.9 MiB/s | 22.7 MiB | 00m00s [29/35] Installing python3-joblib-0:1.5 100% | 258.3 MiB/s | 2.3 MiB | 00m00s [30/35] Installing python3-devel-0:3.14 100% | 110.9 MiB/s | 2.0 MiB | 00m00s [31/35] Installing python3-psutil-0:7.0 100% | 279.2 MiB/s | 1.4 MiB | 00m00s [32/35] Installing python3-setuptools-0 100% | 283.5 MiB/s | 8.8 MiB | 00m00s [33/35] Installing python3-threadpoolct 100% | 136.3 MiB/s | 139.6 KiB | 00m00s [34/35] Installing gcc-plugin-annobin-0 100% | 4.8 MiB/s | 58.8 KiB | 00m00s [35/35] Installing annobin-plugin-gcc-0 100% | 6.9 MiB/s | 697.4 KiB | 00m00s Warning: skipped OpenPGP checks for 33 packages from repository: http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch Complete! Finish: build setup for python-scikit-learn-1.8.0~rc1-1.fc44.src.rpm Start: rpmbuild python-scikit-learn-1.8.0~rc1-1.fc44.src.rpm Building target platforms: x86_64 Building for target x86_64 setting SOURCE_DATE_EPOCH=1764720000 Executing(%mkbuilddir): /bin/sh -e /var/tmp/rpm-tmp.ycJhyF Executing(%prep): /bin/sh -e /var/tmp/rpm-tmp.lF7zSx + umask 022 + cd /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build + cd /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build + rm -rf scikit_learn-1.8.0rc1 + /usr/lib/rpm/rpmuncompress -x /builddir/build/SOURCES/scikit_learn-1.8.0rc1.tar.gz + STATUS=0 + '[' 0 -ne 0 ']' + cd scikit_learn-1.8.0rc1 + /usr/bin/chmod -Rf a+rX,u+w,g-w,o-w . + sed -i -e 's|numpy>=2,<2.4.0|numpy|' pyproject.toml + sed -i -e 's|cython>=3.1.2|cython>=3.0.9|' pyproject.toml + sed -i -e 's|CYTHON_MIN_VERSION = "3.1.2"|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.jQMt00 + umask 022 + cd /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build + cd scikit_learn-1.8.0rc1 + 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-1.8.0_rc1-build/.pyproject-builddir + echo -n + CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + VALAFLAGS=-g + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-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-1.8.0_rc1-build/.pyproject-builddir + RPM_TOXENV=py314 + FEDORA=44 + 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-1.8.0_rc1-build/pyproject-wheeldir --output /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/python-scikit-learn-1.8.0~rc1-1.fc44.x86_64-pyproject-buildrequires -p Handling meson-python>=0.17.1,<0.19.0 from build-system.requires Requirement not satisfied: meson-python>=0.17.1,<0.19.0 Handling cython>=3.0.9,<3.3.0 from build-system.requires Requirement not satisfied: cython>=3.0.9,<3.3.0 Handling numpy from build-system.requires Requirement not satisfied: numpy Handling scipy>=1.10.0,<1.17.0 from build-system.requires Requirement not satisfied: scipy>=1.10.0,<1.17.0 Exiting dependency generation pass: build backend + cat /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/python-scikit-learn-1.8.0~rc1-1.fc44.x86_64-pyproject-buildrequires + rm -rfv '*.dist-info/' + RPM_EC=0 ++ jobs -p + exit 0 Wrote: /builddir/build/SRPMS/python-scikit-learn-1.8.0~rc1-1.fc44.buildreqs.nosrc.rpm INFO: Going to install missing dynamic buildrequires Updating and loading repositories: Additional repo http_kojipkgs_fedorapr 100% | 53.2 KiB/s | 3.8 KiB | 00m00s Copr repository 100% | 21.3 KiB/s | 1.5 KiB | 00m00s fedora 100% | 166.0 KiB/s | 32.5 KiB | 00m00s updates 100% | 225.6 KiB/s | 31.4 KiB | 00m00s Repositories loaded. Package "gcc-15.2.1-4.fc44.x86_64" is already installed. Package "gcc-c++-15.2.1-4.fc44.x86_64" is already installed. Package "pyproject-rpm-macros-1.18.6-1.fc44.noarch" is already installed. Package "python3-devel-3.14.2-1.fc44.x86_64" is already installed. Package "python3-joblib-1.5.2-1.fc44.noarch" is already installed. Package "python3-packaging-25.0-7.fc44.noarch" is already installed. Package "python3-psutil-7.0.0-8.fc44.x86_64" is already installed. Package "python3-pytest-8.4.2-1.fc44.noarch" is already installed. Package "python3-setuptools-80.9.0-2.fc44.noarch" is already installed. Package "python3-threadpoolctl-3.5.0-10.fc44.noarch" is already installed. Package Arch Version Repository Size Installing: python3-cython x86_64 3.2.1-1.fc44 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 19.0 MiB python3-meson-python noarch 0.18.0-7.fc44 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 326.5 KiB python3-numpy x86_64 1:2.3.5-1.fc44 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 41.4 MiB python3-pip noarch 25.3-1.fc44 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 11.2 MiB python3-scipy x86_64 1.16.2-1.fc44 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 66.5 MiB Installing dependencies: flexiblas x86_64 3.5.0-1.fc44 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 38.0 KiB flexiblas-netlib x86_64 3.5.0-1.fc44 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 16.5 MiB flexiblas-openblas-openmp x86_64 3.5.0-1.fc44 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 39.2 KiB libgfortran x86_64 15.2.1-4.fc44 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 3.4 MiB libquadmath x86_64 15.2.1-4.fc44 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 317.9 KiB meson noarch 1.9.1-4.fc44 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 13.2 MiB ninja-build x86_64 1.13.1-4.fc44 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 480.7 KiB openblas x86_64 0.3.29-2.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 111.7 KiB openblas-openmp x86_64 0.3.29-2.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 43.7 MiB patchelf x86_64 0.18.0-9.fc43 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 287.6 KiB python3-charset-normalizer noarch 3.4.4-1.fc44 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 356.2 KiB python3-idna noarch 3.11-1.fc44 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 738.4 KiB python3-numpy-f2py x86_64 1:2.3.5-1.fc44 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 2.1 MiB python3-platformdirs noarch 4.4.0-2.fc44 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 182.4 KiB python3-pooch noarch 1.8.2-9.fc44 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 635.2 KiB python3-pyproject-metadata noarch 0.10.0-1.fc44 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 207.7 KiB python3-requests noarch 2.32.5-2.fc44 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 476.9 KiB python3-urllib3 noarch 2.5.0-3.fc44 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.1 MiB vim-filesystem noarch 2:9.1.1952-1.fc44 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 40.0 B Transaction Summary: Installing: 24 packages Total size of inbound packages is 46 MiB. Need to download 46 MiB. After this operation, 222 MiB extra will be used (install 222 MiB, remove 0 B). [ 1/24] python3-meson-python-0:0.18.0-7 100% | 983.1 KiB/s | 88.5 KiB | 00m00s [ 2/24] python3-cython-0:3.2.1-1.fc44.x 100% | 15.3 MiB/s | 4.0 MiB | 00m00s [ 3/24] python3-numpy-1:2.3.5-1.fc44.x8 100% | 40.6 MiB/s | 8.0 MiB | 00m00s [ 4/24] python3-scipy-0:1.16.2-1.fc44.x 100% | 50.6 MiB/s | 16.0 MiB | 00m00s [ 5/24] python3-pip-0:25.3-1.fc44.noarc 100% | 40.9 MiB/s | 2.4 MiB | 00m00s [ 6/24] meson-0:1.9.1-4.fc44.noarch 100% | 53.9 MiB/s | 2.3 MiB | 00m00s [ 7/24] python3-pyproject-metadata-0:0. 100% | 2.0 MiB/s | 55.7 KiB | 00m00s [ 8/24] python3-numpy-f2py-1:2.3.5-1.fc 100% | 16.8 MiB/s | 464.8 KiB | 00m00s [ 9/24] python3-pooch-0:1.8.2-9.fc44.no 100% | 5.2 MiB/s | 127.1 KiB | 00m00s [10/24] ninja-build-0:1.13.1-4.fc44.x86 100% | 7.4 MiB/s | 198.0 KiB | 00m00s [11/24] python3-platformdirs-0:4.4.0-2. 100% | 1.6 MiB/s | 44.2 KiB | 00m00s [12/24] python3-requests-0:2.32.5-2.fc4 100% | 5.9 MiB/s | 150.2 KiB | 00m00s [13/24] python3-charset-normalizer-0:3. 100% | 4.3 MiB/s | 109.6 KiB | 00m00s [14/24] python3-idna-0:3.11-1.fc44.noar 100% | 3.9 MiB/s | 119.3 KiB | 00m00s [15/24] python3-urllib3-0:2.5.0-3.fc44. 100% | 10.5 MiB/s | 278.6 KiB | 00m00s [16/24] flexiblas-openblas-openmp-0:3.5 100% | 690.2 KiB/s | 17.3 KiB | 00m00s [17/24] flexiblas-0:3.5.0-1.fc44.x86_64 100% | 744.6 KiB/s | 23.1 KiB | 00m00s [18/24] flexiblas-netlib-0:3.5.0-1.fc44 100% | 80.3 MiB/s | 4.5 MiB | 00m00s [19/24] libgfortran-0:15.2.1-4.fc44.x86 100% | 32.7 MiB/s | 972.3 KiB | 00m00s [20/24] patchelf-0:0.18.0-9.fc43.x86_64 100% | 3.9 MiB/s | 127.7 KiB | 00m00s [21/24] vim-filesystem-2:9.1.1952-1.fc4 100% | 591.7 KiB/s | 15.4 KiB | 00m00s [22/24] openblas-0:0.3.29-2.fc43.x86_64 100% | 1.6 MiB/s | 42.3 KiB | 00m00s [23/24] libquadmath-0:15.2.1-4.fc44.x86 100% | 6.9 MiB/s | 204.9 KiB | 00m00s [24/24] openblas-openmp-0:0.3.29-2.fc43 100% | 99.3 MiB/s | 5.4 MiB | 00m00s -------------------------------------------------------------------------------- [24/24] Total 100% | 88.0 MiB/s | 45.6 MiB | 00m01s Running transaction [ 1/26] Verify package files 100% | 193.0 B/s | 24.0 B | 00m00s [ 2/26] Prepare transaction 100% | 571.0 B/s | 24.0 B | 00m00s [ 3/26] Installing libgfortran-0:15.2.1 100% | 419.4 MiB/s | 3.4 MiB | 00m00s [ 4/26] Installing python3-idna-0:3.11- 100% | 363.7 MiB/s | 744.9 KiB | 00m00s [ 5/26] Installing python3-urllib3-0:2. 100% | 277.8 MiB/s | 1.1 MiB | 00m00s [ 6/26] Installing libquadmath-0:15.2.1 100% | 311.7 MiB/s | 319.2 KiB | 00m00s [ 7/26] Installing openblas-0:0.3.29-2. 100% | 0.0 B/s | 113.5 KiB | 00m00s [ 8/26] Installing openblas-openmp-0:0. 100% | 672.1 MiB/s | 43.7 MiB | 00m00s [ 9/26] Installing flexiblas-0:3.5.0-1. 100% | 0.0 B/s | 39.2 KiB | 00m00s [10/26] Installing flexiblas-openblas-o 100% | 0.0 B/s | 40.1 KiB | 00m00s [11/26] Installing flexiblas-netlib-0:3 100% | 375.2 MiB/s | 16.5 MiB | 00m00s [12/26] Installing python3-numpy-f2py-1 100% | 103.4 MiB/s | 2.2 MiB | 00m00s [13/26] Installing python3-numpy-1:2.3. 100% | 389.5 MiB/s | 41.7 MiB | 00m00s [14/26] Installing vim-filesystem-2:9.1 100% | 4.6 MiB/s | 4.7 KiB | 00m00s [15/26] Installing ninja-build-0:1.13.1 100% | 39.4 MiB/s | 483.8 KiB | 00m00s [16/26] Installing meson-0:1.9.1-4.fc44 100% | 296.7 MiB/s | 13.4 MiB | 00m00s [17/26] Installing patchelf-0:0.18.0-9. 100% | 25.7 MiB/s | 289.4 KiB | 00m00s [18/26] Installing python3-charset-norm 100% | 29.8 MiB/s | 366.4 KiB | 00m00s [19/26] Installing python3-requests-0:2 100% | 238.7 MiB/s | 488.9 KiB | 00m00s [20/26] Installing python3-platformdirs 100% | 184.4 MiB/s | 188.8 KiB | 00m00s [21/26] Installing python3-pooch-0:1.8. 100% | 211.7 MiB/s | 650.4 KiB | 00m00s [22/26] Installing python3-pyproject-me 100% | 207.9 MiB/s | 212.9 KiB | 00m00s [23/26] Installing python3-meson-python 100% | 81.2 MiB/s | 332.5 KiB | 00m00s [24/26] Installing python3-scipy-0:1.16 100% | 413.2 MiB/s | 66.9 MiB | 00m00s [25/26] Installing python3-pip-0:25.3-1 100% | 205.1 MiB/s | 11.5 MiB | 00m00s [26/26] Installing python3-cython-0:3.2 100% | 204.1 MiB/s | 19.2 MiB | 00m00s Warning: skipped OpenPGP checks for 24 packages from repository: http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch Complete! Building target platforms: x86_64 Building for target x86_64 setting SOURCE_DATE_EPOCH=1764720000 Executing(%generate_buildrequires): /bin/sh -e /var/tmp/rpm-tmp.35KB5G + umask 022 + cd /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build + cd scikit_learn-1.8.0rc1 + 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-1.8.0_rc1-build/.pyproject-builddir + echo -n + CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + VALAFLAGS=-g + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-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-1.8.0_rc1-build/.pyproject-builddir + RPM_TOXENV=py314 + FEDORA=44 + 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-1.8.0_rc1-build/pyproject-wheeldir --output /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/python-scikit-learn-1.8.0~rc1-1.fc44.x86_64-pyproject-buildrequires -p Handling meson-python>=0.17.1,<0.19.0 from build-system.requires Requirement satisfied: meson-python>=0.17.1,<0.19.0 (installed: meson-python 0.18.0) Handling cython>=3.0.9,<3.3.0 from build-system.requires Requirement satisfied: cython>=3.0.9,<3.3.0 (installed: cython 3.2.1) Handling numpy from build-system.requires Requirement satisfied: numpy (installed: numpy 2.3.5) Handling scipy>=1.10.0,<1.17.0 from build-system.requires Requirement satisfied: scipy>=1.10.0,<1.17.0 (installed: scipy 1.16.2) Handling numpy>=1.24.1 from pyproject.toml generated metadata: [dependencies] (scikit-learn) Requirement satisfied: numpy>=1.24.1 (installed: numpy 2.3.5) Handling scipy>=1.10.0 from pyproject.toml generated metadata: [dependencies] (scikit-learn) Requirement satisfied: scipy>=1.10.0 (installed: scipy 1.16.2) Handling joblib>=1.3.0 from pyproject.toml generated metadata: [dependencies] (scikit-learn) Requirement satisfied: joblib>=1.3.0 (installed: joblib 1.5.2) Handling threadpoolctl>=3.2.0 from pyproject.toml generated metadata: [dependencies] (scikit-learn) Requirement satisfied: threadpoolctl>=3.2.0 (installed: threadpoolctl 3.5.0) Handling numpy>=1.24.1 from pyproject.toml generated metadata: [optional-dependencies] build (scikit-learn) Ignoring alien requirement: numpy>=1.24.1 Handling scipy>=1.10.0 from pyproject.toml generated metadata: [optional-dependencies] build (scikit-learn) Ignoring alien requirement: scipy>=1.10.0 Handling cython>=3.0.9 from pyproject.toml generated metadata: [optional-dependencies] build (scikit-learn) Ignoring alien requirement: cython>=3.0.9 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>=1.24.1 from pyproject.toml generated metadata: [optional-dependencies] install (scikit-learn) Ignoring alien requirement: numpy>=1.24.1 Handling scipy>=1.10.0 from pyproject.toml generated metadata: [optional-dependencies] install (scikit-learn) Ignoring alien requirement: scipy>=1.10.0 Handling joblib>=1.3.0 from pyproject.toml generated metadata: [optional-dependencies] install (scikit-learn) Ignoring alien requirement: joblib>=1.3.0 Handling threadpoolctl>=3.2.0 from pyproject.toml generated metadata: [optional-dependencies] install (scikit-learn) Ignoring alien requirement: threadpoolctl>=3.2.0 Handling matplotlib>=3.6.1 from pyproject.toml generated metadata: [optional-dependencies] benchmark (scikit-learn) Ignoring alien requirement: matplotlib>=3.6.1 Handling pandas>=1.5.0 from pyproject.toml generated metadata: [optional-dependencies] benchmark (scikit-learn) Ignoring alien requirement: pandas>=1.5.0 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>=3.6.1 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: matplotlib>=3.6.1 Handling scikit-image>=0.22.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: scikit-image>=0.22.0 Handling pandas>=1.5.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: pandas>=1.5.0 Handling seaborn>=0.13.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: seaborn>=0.13.0 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>=10.1.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: Pillow>=10.1.0 Handling pooch>=1.8.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: pooch>=1.8.0 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>=5.18.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: plotly>=5.18.0 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>=0.6.0 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>=3.6.1 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn) Ignoring alien requirement: matplotlib>=3.6.1 Handling scikit-image>=0.22.0 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn) Ignoring alien requirement: scikit-image>=0.22.0 Handling pandas>=1.5.0 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn) Ignoring alien requirement: pandas>=1.5.0 Handling seaborn>=0.13.0 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn) Ignoring alien requirement: seaborn>=0.13.0 Handling pooch>=1.8.0 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn) Ignoring alien requirement: pooch>=1.8.0 Handling plotly>=5.18.0 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn) Ignoring alien requirement: plotly>=5.18.0 Handling matplotlib>=3.6.1 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: matplotlib>=3.6.1 Handling pandas>=1.5.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: pandas>=1.5.0 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>=5.0.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: pyamg>=5.0.0 Handling polars>=0.20.30 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: polars>=0.20.30 Handling pyarrow>=12.0.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: pyarrow>=12.0.0 Handling numpydoc>=1.2.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: numpydoc>=1.2.0 Handling pooch>=1.8.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: pooch>=1.8.0 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-1.8.0_rc1-build/python-scikit-learn-1.8.0~rc1-1.fc44.x86_64-pyproject-buildrequires + rm -rfv '*.dist-info/' + RPM_EC=0 ++ jobs -p + exit 0 Wrote: /builddir/build/SRPMS/python-scikit-learn-1.8.0~rc1-1.fc44.buildreqs.nosrc.rpm INFO: Going to install missing dynamic buildrequires Updating and loading repositories: Additional repo http_kojipkgs_fedorapr 100% | 58.9 KiB/s | 3.8 KiB | 00m00s Copr repository 100% | 23.6 KiB/s | 1.5 KiB | 00m00s fedora 100% | 119.2 KiB/s | 32.5 KiB | 00m00s updates 100% | 245.0 KiB/s | 31.4 KiB | 00m00s Repositories loaded. Nothing to do. Package "gcc-15.2.1-4.fc44.x86_64" is already installed. Package "gcc-c++-15.2.1-4.fc44.x86_64" is already installed. Package "pyproject-rpm-macros-1.18.6-1.fc44.noarch" is already installed. Package "python3-devel-3.14.2-1.fc44.x86_64" is already installed. Package "python3-joblib-1.5.2-1.fc44.noarch" is already installed. Package "python3-joblib-1.5.2-1.fc44.noarch" is already installed. Package "python3-numpy-1:2.3.5-1.fc44.x86_64" is already installed. Package "python3-numpy-1:2.3.5-1.fc44.x86_64" is already installed. Package "python3-packaging-25.0-7.fc44.noarch" is already installed. Package "python3-pip-25.3-1.fc44.noarch" is already installed. Package "python3-psutil-7.0.0-8.fc44.x86_64" is already installed. Package "python3-pytest-8.4.2-1.fc44.noarch" is already installed. Package "python3-scipy-1.16.2-1.fc44.x86_64" is already installed. Package "python3-setuptools-80.9.0-2.fc44.noarch" is already installed. Package "python3-threadpoolctl-3.5.0-10.fc44.noarch" is already installed. Package "python3-threadpoolctl-3.5.0-10.fc44.noarch" is already installed. Building target platforms: x86_64 Building for target x86_64 setting SOURCE_DATE_EPOCH=1764720000 Executing(%generate_buildrequires): /bin/sh -e /var/tmp/rpm-tmp.XoVc7a + umask 022 + cd /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build + cd scikit_learn-1.8.0rc1 + 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-1.8.0_rc1-build/.pyproject-builddir + echo -n + CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + VALAFLAGS=-g + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-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-1.8.0_rc1-build/.pyproject-builddir + RPM_TOXENV=py314 + FEDORA=44 + 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-1.8.0_rc1-build/pyproject-wheeldir --output /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/python-scikit-learn-1.8.0~rc1-1.fc44.x86_64-pyproject-buildrequires -p Handling meson-python>=0.17.1,<0.19.0 from build-system.requires Requirement satisfied: meson-python>=0.17.1,<0.19.0 (installed: meson-python 0.18.0) Handling cython>=3.0.9,<3.3.0 from build-system.requires Requirement satisfied: cython>=3.0.9,<3.3.0 (installed: cython 3.2.1) Handling numpy from build-system.requires Requirement satisfied: numpy (installed: numpy 2.3.5) Handling scipy>=1.10.0,<1.17.0 from build-system.requires Requirement satisfied: scipy>=1.10.0,<1.17.0 (installed: scipy 1.16.2) Handling numpy>=1.24.1 from pyproject.toml generated metadata: [dependencies] (scikit-learn) Requirement satisfied: numpy>=1.24.1 (installed: numpy 2.3.5) Handling scipy>=1.10.0 from pyproject.toml generated metadata: [dependencies] (scikit-learn) Requirement satisfied: scipy>=1.10.0 (installed: scipy 1.16.2) Handling joblib>=1.3.0 from pyproject.toml generated metadata: [dependencies] (scikit-learn) Requirement satisfied: joblib>=1.3.0 (installed: joblib 1.5.2) Handling threadpoolctl>=3.2.0 from pyproject.toml generated metadata: [dependencies] (scikit-learn) Requirement satisfied: threadpoolctl>=3.2.0 (installed: threadpoolctl 3.5.0) Handling numpy>=1.24.1 from pyproject.toml generated metadata: [optional-dependencies] build (scikit-learn) Ignoring alien requirement: numpy>=1.24.1 Handling scipy>=1.10.0 from pyproject.toml generated metadata: [optional-dependencies] build (scikit-learn) Ignoring alien requirement: scipy>=1.10.0 Handling cython>=3.0.9 from pyproject.toml generated metadata: [optional-dependencies] build (scikit-learn) Ignoring alien requirement: cython>=3.0.9 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>=1.24.1 from pyproject.toml generated metadata: [optional-dependencies] install (scikit-learn) Ignoring alien requirement: numpy>=1.24.1 Handling scipy>=1.10.0 from pyproject.toml generated metadata: [optional-dependencies] install (scikit-learn) Ignoring alien requirement: scipy>=1.10.0 Handling joblib>=1.3.0 from pyproject.toml generated metadata: [optional-dependencies] install (scikit-learn) Ignoring alien requirement: joblib>=1.3.0 Handling threadpoolctl>=3.2.0 from pyproject.toml generated metadata: [optional-dependencies] install (scikit-learn) Ignoring alien requirement: threadpoolctl>=3.2.0 Handling matplotlib>=3.6.1 from pyproject.toml generated metadata: [optional-dependencies] benchmark (scikit-learn) Ignoring alien requirement: matplotlib>=3.6.1 Handling pandas>=1.5.0 from pyproject.toml generated metadata: [optional-dependencies] benchmark (scikit-learn) Ignoring alien requirement: pandas>=1.5.0 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>=3.6.1 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: matplotlib>=3.6.1 Handling scikit-image>=0.22.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: scikit-image>=0.22.0 Handling pandas>=1.5.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: pandas>=1.5.0 Handling seaborn>=0.13.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: seaborn>=0.13.0 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>=10.1.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: Pillow>=10.1.0 Handling pooch>=1.8.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: pooch>=1.8.0 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>=5.18.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn) Ignoring alien requirement: plotly>=5.18.0 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>=0.6.0 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>=3.6.1 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn) Ignoring alien requirement: matplotlib>=3.6.1 Handling scikit-image>=0.22.0 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn) Ignoring alien requirement: scikit-image>=0.22.0 Handling pandas>=1.5.0 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn) Ignoring alien requirement: pandas>=1.5.0 Handling seaborn>=0.13.0 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn) Ignoring alien requirement: seaborn>=0.13.0 Handling pooch>=1.8.0 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn) Ignoring alien requirement: pooch>=1.8.0 Handling plotly>=5.18.0 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn) Ignoring alien requirement: plotly>=5.18.0 Handling matplotlib>=3.6.1 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: matplotlib>=3.6.1 Handling pandas>=1.5.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: pandas>=1.5.0 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>=5.0.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: pyamg>=5.0.0 Handling polars>=0.20.30 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: polars>=0.20.30 Handling pyarrow>=12.0.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: pyarrow>=12.0.0 Handling numpydoc>=1.2.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: numpydoc>=1.2.0 Handling pooch>=1.8.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn) Ignoring alien requirement: pooch>=1.8.0 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-1.8.0_rc1-build/python-scikit-learn-1.8.0~rc1-1.fc44.x86_64-pyproject-buildrequires + rm -rfv '*.dist-info/' + RPM_EC=0 ++ jobs -p + exit 0 Executing(%build): /bin/sh -e /var/tmp/rpm-tmp.oXwlUh + umask 022 + cd /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build + CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CFLAGS + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CXXFLAGS + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FFLAGS + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FCFLAGS + VALAFLAGS=-g + export VALAFLAGS + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + export RUSTFLAGS + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-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-1.8.0rc1 + mkdir -p /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/.pyproject-builddir + CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + VALAFLAGS=-g + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-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-1.8.0_rc1-build/.pyproject-builddir + /usr/bin/python3 -Bs /usr/lib/rpm/redhat/pyproject_wheel.py /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/pyproject-wheeldir Processing /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/scikit_learn-1.8.0rc1 Preparing metadata (pyproject.toml): started Running command Preparing metadata (pyproject.toml) + meson setup /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/scikit_learn-1.8.0rc1 /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/scikit_learn-1.8.0rc1/.mesonpy-3hwhxdf7 -Dbuildtype=release -Db_ndebug=if-release -Db_vscrt=md --native-file=/builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/scikit_learn-1.8.0rc1/.mesonpy-3hwhxdf7/meson-python-native-file.ini The Meson build system Version: 1.9.1 Source dir: /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/scikit_learn-1.8.0rc1 Build dir: /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/scikit_learn-1.8.0rc1/.mesonpy-3hwhxdf7 Build type: native build Project name: scikit-learn Project version: 1.8.0rc1 C compiler for the host machine: gcc (gcc 15.2.1 "gcc (GCC) 15.2.1 20251111 (Red Hat 15.2.1-4)") C linker for the host machine: gcc ld.bfd 2.45.50.20251124 C++ compiler for the host machine: g++ (gcc 15.2.1 "g++ (GCC) 15.2.1 20251111 (Red Hat 15.2.1-4)") C++ linker for the host machine: g++ ld.bfd 2.45.50.20251124 Cython compiler for the host machine: cython (cython 3.2.1) Host machine cpu family: x86_64 Host machine cpu: x86_64 Compiler for C supports arguments -Wno-unused-but-set-variable: YES Compiler for C supports arguments -Wno-unused-function: YES Compiler for C supports arguments -Wno-conversion: YES Compiler for C supports arguments -Wno-misleading-indentation: YES Library m found: YES Program sklearn/_build_utils/tempita.py found: YES (/usr/bin/python3 /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/scikit_learn-1.8.0rc1/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: 112 scikit-learn 1.8.0rc1 User defined options Native files: /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/scikit_learn-1.8.0rc1/.mesonpy-3hwhxdf7/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 [1/253] Copying file sklearn/_loss/_loss.pxd [2/253] Copying file sklearn/__init__.py [3/253] Copying file sklearn/utils/_openmp_helpers.pxd [4/253] Copying file sklearn/utils/_cython_blas.pxd [5/253] Copying file sklearn/utils/__init__.py [6/253] Copying file sklearn/utils/_heap.pxd [7/253] Copying file sklearn/utils/_random.pxd [8/253] Copying file sklearn/utils/_sorting.pxd [9/253] Copying file sklearn/utils/_typedefs.pxd [10/253] Copying file sklearn/utils/_vector_sentinel.pxd [11/253] Generating sklearn/metrics/_dist_metrics_pxd with a custom command [12/253] Generating sklearn/utils/_weight_vector_pxd with a custom command [13/253] Copying file sklearn/metrics/_pairwise_distances_reduction/__init__.py [14/253] Generating sklearn/utils/_seq_dataset_pxd with a custom command [15/253] Copying file sklearn/metrics/__init__.py [16/253] Copying file sklearn/metrics/_pairwise_distances_reduction/_classmode.pxd [17/253] Generating sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors_pxd with a custom command [18/253] Generating sklearn/metrics/_pairwise_distances_reduction/_datasets_pair_pxd with a custom command [19/253] Generating sklearn/metrics/_pairwise_distances_reduction/_base_pxd with a custom command [20/253] Copying file sklearn/linear_model/__init__.py [21/253] Generating sklearn/metrics/_pairwise_distances_reduction/_argkmin_pxd with a custom command [22/253] Generating sklearn/metrics/_pairwise_distances_reduction/_middle_term_computer_pxd with a custom command [23/253] Copying file sklearn/neighbors/_partition_nodes.pxd [24/253] Generating sklearn/utils/_weight_vector_pyx with a custom command [25/253] Generating sklearn/neighbors/_binary_tree_pxi with a custom command [26/253] Generating sklearn/_loss/_loss_pyx with a custom command [27/253] Copying file sklearn/neighbors/__init__.py [28/253] Generating sklearn/utils/_seq_dataset_pyx with a custom command [29/253] Generating sklearn/metrics/_pairwise_distances_reduction/_datasets_pair_pyx with a custom command [30/253] Generating sklearn/metrics/_dist_metrics_pyx with a custom command [31/253] Generating sklearn/metrics/_pairwise_distances_reduction/_base_pyx with a custom command [32/253] Generating sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors_pyx with a custom command [33/253] Generating sklearn/metrics/_pairwise_distances_reduction/_argkmin_pyx with a custom command [34/253] Generating sklearn/metrics/_pairwise_distances_reduction/_middle_term_computer_pyx with a custom command [35/253] Generating sklearn/linear_model/_sgd_fast_pyx with a custom command [36/253] Generating sklearn/linear_model/_sag_fast_pyx with a custom command [37/253] Generating sklearn/metrics/_pairwise_distances_reduction/_argkmin_classmode_pyx with a custom command [38/253] Generating sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors_classmode_pyx with a custom command [39/253] Generating sklearn/neighbors/_ball_tree_pyx with a custom command [40/253] Generating sklearn/neighbors/_kd_tree_pyx with a custom command [41/253] Generating 'sklearn/__check_build/_check_build.cpython-314-x86_64-linux-gnu.so.p/_check_build.c' [42/253] Generating 'sklearn/_isotonic.cpython-314-x86_64-linux-gnu.so.p/_isotonic.c' [43/253] Generating sklearn/_cyutility.c with a custom command [44/253] Generating 'sklearn/utils/_cython_blas.cpython-314-x86_64-linux-gnu.so.p/_cython_blas.c' [45/253] Generating 'sklearn/utils/murmurhash.cpython-314-x86_64-linux-gnu.so.p/murmurhash.c' [46/253] Generating 'sklearn/utils/arrayfuncs.cpython-314-x86_64-linux-gnu.so.p/arrayfuncs.c' [47/253] Generating 'sklearn/utils/sparsefuncs_fast.cpython-314-x86_64-linux-gnu.so.p/sparsefuncs_fast.c' [48/253] Generating 'sklearn/utils/_openmp_helpers.cpython-314-x86_64-linux-gnu.so.p/_openmp_helpers.c' [49/253] Generating 'sklearn/utils/_fast_dict.cpython-314-x86_64-linux-gnu.so.p/_fast_dict.cpp' [50/253] Generating 'sklearn/utils/_heap.cpython-314-x86_64-linux-gnu.so.p/_heap.c' [51/253] Generating 'sklearn/utils/_typedefs.cpython-314-x86_64-linux-gnu.so.p/_typedefs.c' [52/253] Generating 'sklearn/utils/_random.cpython-314-x86_64-linux-gnu.so.p/_random.c' [53/253] Generating 'sklearn/utils/_sorting.cpython-314-x86_64-linux-gnu.so.p/_sorting.c' [54/253] Generating 'sklearn/utils/_vector_sentinel.cpython-314-x86_64-linux-gnu.so.p/_vector_sentinel.cpp' [55/253] Generating 'sklearn/utils/_isfinite.cpython-314-x86_64-linux-gnu.so.p/_isfinite.c' [56/253] Generating 'sklearn/utils/_weight_vector.cpython-314-x86_64-linux-gnu.so.p/_weight_vector.c' [57/253] Generating 'sklearn/utils/_seq_dataset.cpython-314-x86_64-linux-gnu.so.p/_seq_dataset.c' [58/253] Generating 'sklearn/metrics/_pairwise_fast.cpython-314-x86_64-linux-gnu.so.p/_pairwise_fast.c' [59/253] Generating 'sklearn/_loss/_loss.cpython-314-x86_64-linux-gnu.so.p/_loss.c' [60/253] Generating 'sklearn/metrics/_pairwise_distances_reduction/_datasets_pair.cpython-314-x86_64-linux-gnu.so.p/_datasets_pair.cpp' [61/253] Generating 'sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-x86_64-linux-gnu.so.p/_base.cpp' [62/253] Generating 'sklearn/metrics/_pairwise_distances_reduction/_middle_term_computer.cpython-314-x86_64-linux-gnu.so.p/_middle_term_computer.cpp' [63/253] Generating 'sklearn/metrics/_dist_metrics.cpython-314-x86_64-linux-gnu.so.p/_dist_metrics.c' [64/253] Generating 'sklearn/metrics/_pairwise_distances_reduction/_argkmin.cpython-314-x86_64-linux-gnu.so.p/_argkmin.cpp' [65/253] Generating 'sklearn/metrics/cluster/_expected_mutual_info_fast.cpython-314-x86_64-linux-gnu.so.p/_expected_mutual_info_fast.c' [66/253] Generating 'sklearn/metrics/_pairwise_distances_reduction/_argkmin_classmode.cpython-314-x86_64-linux-gnu.so.p/_argkmin_classmode.cpp' [67/253] Generating 'sklearn/cluster/_dbscan_inner.cpython-314-x86_64-linux-gnu.so.p/_dbscan_inner.cpp' [68/253] Generating 'sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors_classmode.cpython-314-x86_64-linux-gnu.so.p/_radius_neighbors_classmode.cpp' [69/253] Generating 'sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors.cpython-314-x86_64-linux-gnu.so.p/_radius_neighbors.cpp' [70/253] Generating 'sklearn/cluster/_hierarchical_fast.cpython-314-x86_64-linux-gnu.so.p/_hierarchical_fast.cpp' [71/253] Generating 'sklearn/cluster/_k_means_lloyd.cpython-314-x86_64-linux-gnu.so.p/_k_means_lloyd.c' [72/253] Generating 'sklearn/cluster/_k_means_minibatch.cpython-314-x86_64-linux-gnu.so.p/_k_means_minibatch.c' [73/253] Generating 'sklearn/cluster/_k_means_common.cpython-314-x86_64-linux-gnu.so.p/_k_means_common.c' [74/253] Generating 'sklearn/cluster/_k_means_elkan.cpython-314-x86_64-linux-gnu.so.p/_k_means_elkan.c' [75/253] Generating 'sklearn/cluster/_hdbscan/_linkage.cpython-314-x86_64-linux-gnu.so.p/_linkage.c' [76/253] Generating 'sklearn/cluster/_hdbscan/_reachability.cpython-314-x86_64-linux-gnu.so.p/_reachability.c' [77/253] Generating 'sklearn/decomposition/_cdnmf_fast.cpython-314-x86_64-linux-gnu.so.p/_cdnmf_fast.c' [78/253] Generating 'sklearn/decomposition/_online_lda_fast.cpython-314-x86_64-linux-gnu.so.p/_online_lda_fast.c' [79/253] Generating 'sklearn/cluster/_hdbscan/_tree.cpython-314-x86_64-linux-gnu.so.p/_tree.c' [80/253] Generating 'sklearn/ensemble/_hist_gradient_boosting/_gradient_boosting.cpython-314-x86_64-linux-gnu.so.p/_gradient_boosting.c' [81/253] Generating 'sklearn/ensemble/_gradient_boosting.cpython-314-x86_64-linux-gnu.so.p/_gradient_boosting.c' [82/253] Generating 'sklearn/datasets/_svmlight_format_fast.cpython-314-x86_64-linux-gnu.so.p/_svmlight_format_fast.c' [83/253] Generating 'sklearn/ensemble/_hist_gradient_boosting/_binning.cpython-314-x86_64-linux-gnu.so.p/_binning.c' [84/253] Generating 'sklearn/ensemble/_hist_gradient_boosting/histogram.cpython-314-x86_64-linux-gnu.so.p/histogram.c' [85/253] Generating 'sklearn/ensemble/_hist_gradient_boosting/splitting.cpython-314-x86_64-linux-gnu.so.p/splitting.c' [86/253] Generating 'sklearn/ensemble/_hist_gradient_boosting/_predictor.cpython-314-x86_64-linux-gnu.so.p/_predictor.c' [87/253] Generating 'sklearn/ensemble/_hist_gradient_boosting/_bitset.cpython-314-x86_64-linux-gnu.so.p/_bitset.c' [88/253] Generating 'sklearn/ensemble/_hist_gradient_boosting/common.cpython-314-x86_64-linux-gnu.so.p/common.c' [89/253] Generating 'sklearn/feature_extraction/_hashing_fast.cpython-314-x86_64-linux-gnu.so.p/_hashing_fast.cpp' [90/253] Generating 'sklearn/linear_model/_sgd_fast.cpython-314-x86_64-linux-gnu.so.p/_sgd_fast.c' [91/253] Generating 'sklearn/manifold/_utils.cpython-314-x86_64-linux-gnu.so.p/_utils.c' [92/253] Generating 'sklearn/linear_model/_sag_fast.cpython-314-x86_64-linux-gnu.so.p/_sag_fast.c' [93/253] Generating 'sklearn/manifold/_barnes_hut_tsne.cpython-314-x86_64-linux-gnu.so.p/_barnes_hut_tsne.c' [94/253] Generating 'sklearn/linear_model/_cd_fast.cpython-314-x86_64-linux-gnu.so.p/_cd_fast.c' [95/253] Generating 'sklearn/neighbors/_partition_nodes.cpython-314-x86_64-linux-gnu.so.p/_partition_nodes.cpp' [96/253] Generating 'sklearn/preprocessing/_csr_polynomial_expansion.cpython-314-x86_64-linux-gnu.so.p/_csr_polynomial_expansion.c' [97/253] Generating 'sklearn/preprocessing/_target_encoder_fast.cpython-314-x86_64-linux-gnu.so.p/_target_encoder_fast.cpp' [98/253] Generating 'sklearn/svm/_newrand.cpython-314-x86_64-linux-gnu.so.p/_newrand.cpp' [99/253] Generating 'sklearn/neighbors/_ball_tree.cpython-314-x86_64-linux-gnu.so.p/_ball_tree.c' warning: sklearn/neighbors/_binary_tree.pxi:1091:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:1957:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2052:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2221:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2344:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2401:8: 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:2726:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:3592:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:3687:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:3856:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:3979:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:4036:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:4037:8: 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:310:4: Assigning to 'float32_t *' from 'const float32_t *' discards const qualifier [100/253] Generating 'sklearn/neighbors/_quad_tree.cpython-314-x86_64-linux-gnu.so.p/_quad_tree.c' [101/253] Compiling C++ object sklearn/svm/libliblinear-skl.a.p/src_liblinear_tron.cpp.o [102/253] Generating 'sklearn/neighbors/_kd_tree.cpython-314-x86_64-linux-gnu.so.p/_kd_tree.c' warning: sklearn/neighbors/_binary_tree.pxi:1091:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:1957:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2052:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2221:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2344:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:2401:8: 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:2726:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:3592:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:3687:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:3856:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:3979:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:4036:8: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier warning: sklearn/neighbors/_binary_tree.pxi:4037:8: 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 [103/253] Generating 'sklearn/svm/_libsvm_sparse.cpython-314-x86_64-linux-gnu.so.p/_libsvm_sparse.c' [104/253] Generating 'sklearn/svm/_libsvm.cpython-314-x86_64-linux-gnu.so.p/_libsvm.c' [105/253] Generating 'sklearn/svm/_liblinear.cpython-314-x86_64-linux-gnu.so.p/_liblinear.c' [106/253] Generating 'sklearn/tree/_splitter.cpython-314-x86_64-linux-gnu.so.p/_splitter.c' [107/253] Compiling C++ object sklearn/svm/libliblinear-skl.a.p/src_liblinear_linear.cpp.o [108/253] Generating 'sklearn/tree/_partitioner.cpython-314-x86_64-linux-gnu.so.p/_partitioner.c' [109/253] Generating 'sklearn/tree/_criterion.cpython-314-x86_64-linux-gnu.so.p/_criterion.c' [110/253] Generating 'sklearn/tree/_tree.cpython-314-x86_64-linux-gnu.so.p/_tree.cpp' [111/253] 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.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; | ^~ ../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; | ^~ 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.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; | ^~ ../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; | ^~ [112/253] Generating 'sklearn/tree/_utils.cpython-314-x86_64-linux-gnu.so.p/_utils.c' [113/253] Compiling C object sklearn/__check_build/_check_build.cpython-314-x86_64-linux-gnu.so.p/meson-generated__check_build.c.o [114/253] Compiling C object sklearn/_isotonic.cpython-314-x86_64-linux-gnu.so.p/meson-generated__isotonic.c.o [115/253] Compiling C object sklearn/_cyutility.cpython-314-x86_64-linux-gnu.so.p/meson-generated_..__cyutility.c.o [116/253] Compiling C++ object sklearn/utils/murmurhash.cpython-314-x86_64-linux-gnu.so.p/src_MurmurHash3.cpp.o [117/253] Compiling C object sklearn/utils/arrayfuncs.cpython-314-x86_64-linux-gnu.so.p/meson-generated_arrayfuncs.c.o [118/253] Compiling C object sklearn/utils/_openmp_helpers.cpython-314-x86_64-linux-gnu.so.p/meson-generated__openmp_helpers.c.o [119/253] Compiling C object sklearn/utils/murmurhash.cpython-314-x86_64-linux-gnu.so.p/meson-generated_murmurhash.c.o [120/253] Compiling C object sklearn/utils/_cython_blas.cpython-314-x86_64-linux-gnu.so.p/meson-generated__cython_blas.c.o [121/253] Compiling C object sklearn/utils/_heap.cpython-314-x86_64-linux-gnu.so.p/meson-generated__heap.c.o [122/253] Compiling C object sklearn/utils/_sorting.cpython-314-x86_64-linux-gnu.so.p/meson-generated__sorting.c.o [123/253] Compiling C++ object sklearn/utils/_fast_dict.cpython-314-x86_64-linux-gnu.so.p/meson-generated__fast_dict.cpp.o [124/253] Compiling C object sklearn/utils/_typedefs.cpython-314-x86_64-linux-gnu.so.p/meson-generated__typedefs.c.o [125/253] Compiling C object sklearn/utils/_isfinite.cpython-314-x86_64-linux-gnu.so.p/meson-generated__isfinite.c.o [126/253] Compiling C object sklearn/utils/_random.cpython-314-x86_64-linux-gnu.so.p/meson-generated__random.c.o [127/253] Compiling C++ object sklearn/utils/_vector_sentinel.cpython-314-x86_64-linux-gnu.so.p/meson-generated__vector_sentinel.cpp.o [128/253] Compiling C object sklearn/utils/_weight_vector.cpython-314-x86_64-linux-gnu.so.p/meson-generated__weight_vector.c.o [129/253] Compiling C object sklearn/utils/_seq_dataset.cpython-314-x86_64-linux-gnu.so.p/meson-generated__seq_dataset.c.o [130/253] Compiling C object sklearn/metrics/_pairwise_fast.cpython-314-x86_64-linux-gnu.so.p/meson-generated__pairwise_fast.c.o [131/253] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-x86_64-linux-gnu.so.p/meson-generated__base.cpp.o sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-x86_64-linux-gnu.so.p/_base.cpp: In function ‘__pyx_f_7sklearn_7metrics_29_pairwise_distances_reduction_5_base_24BaseDistancesReduction32__parallel_on_X(__pyx_obj_7sklearn_7metrics_29_pairwise_distances_reduction_5_base_BaseDistancesReduction32*)’: sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-x86_64-linux-gnu.so.p/_base.cpp:9020:21: warning: ‘__pyx_v_thread_num’ is used uninitialized [-Wuninitialized] 9020 | #pragma omp parallel firstprivate(__pyx_v_thread_num) private(__pyx_t_1, __pyx_t_2, __pyx_t_3, __pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7) num_threads(__pyx_v_self->chunks_n_threads) | ^~~ sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-x86_64-linux-gnu.so.p/_base.cpp:8991:45: note: ‘__pyx_v_thread_num’ was declared here 8991 | __pyx_t_7sklearn_5utils_9_typedefs_intp_t __pyx_v_thread_num; | ^~~~~~~~~~~~~~~~~~ sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-x86_64-linux-gnu.so.p/_base.cpp: In function ‘__pyx_f_7sklearn_7metrics_29_pairwise_distances_reduction_5_base_24BaseDistancesReduction64__parallel_on_X(__pyx_obj_7sklearn_7metrics_29_pairwise_distances_reduction_5_base_BaseDistancesReduction64*)’: sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-x86_64-linux-gnu.so.p/_base.cpp:6192:21: warning: ‘__pyx_v_thread_num’ is used uninitialized [-Wuninitialized] 6192 | #pragma omp parallel firstprivate(__pyx_v_thread_num) private(__pyx_t_1, __pyx_t_2, __pyx_t_3, __pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7) num_threads(__pyx_v_self->chunks_n_threads) | ^~~ sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-x86_64-linux-gnu.so.p/_base.cpp:6163:45: note: ‘__pyx_v_thread_num’ was declared here 6163 | __pyx_t_7sklearn_5utils_9_typedefs_intp_t __pyx_v_thread_num; | ^~~~~~~~~~~~~~~~~~ sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-x86_64-linux-gnu.so.p/_base.cpp: In function ‘__pyx_f_7sklearn_7metrics_29_pairwise_distances_reduction_5_base_24BaseDistancesReduction32__parallel_on_Y(__pyx_obj_7sklearn_7metrics_29_pairwise_distances_reduction_5_base_BaseDistancesReduction32*)’: sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-x86_64-linux-gnu.so.p/_base.cpp:9385:23: warning: ‘__pyx_v_thread_num’ may be used uninitialized [-Wmaybe-uninitialized] 9385 | #pragma omp parallel firstprivate(__pyx_v_thread_num) private(__pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7) num_threads(__pyx_v_self->chunks_n_threads) | ^~~ sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-x86_64-linux-gnu.so.p/_base.cpp:9285:45: note: ‘__pyx_v_thread_num’ was declared here 9285 | __pyx_t_7sklearn_5utils_9_typedefs_intp_t __pyx_v_thread_num; | ^~~~~~~~~~~~~~~~~~ sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-x86_64-linux-gnu.so.p/_base.cpp: In function ‘__pyx_f_7sklearn_7metrics_29_pairwise_distances_reduction_5_base_24BaseDistancesReduction64__parallel_on_Y(__pyx_obj_7sklearn_7metrics_29_pairwise_distances_reduction_5_base_BaseDistancesReduction64*)’: sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-x86_64-linux-gnu.so.p/_base.cpp:6557:23: warning: ‘__pyx_v_thread_num’ may be used uninitialized [-Wmaybe-uninitialized] 6557 | #pragma omp parallel firstprivate(__pyx_v_thread_num) private(__pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7) num_threads(__pyx_v_self->chunks_n_threads) | ^~~ sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-x86_64-linux-gnu.so.p/_base.cpp:6457:45: note: ‘__pyx_v_thread_num’ was declared here 6457 | __pyx_t_7sklearn_5utils_9_typedefs_intp_t __pyx_v_thread_num; | ^~~~~~~~~~~~~~~~~~ In function ‘__pyx_f_7sklearn_7metrics_29_pairwise_distances_reduction_5_base__sqeuclidean_row_norms32_dense(__Pyx_memviewslice, long)’, inlined from ‘__pyx_f_7sklearn_7metrics_29_pairwise_distances_reduction_5_base__sqeuclidean_row_norms32(_object*, long, int)’ at sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-x86_64-linux-gnu.so.p/_base.cpp:7974:113: sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-x86_64-linux-gnu.so.p/_base.cpp:4564:21: warning: ‘__pyx_v_thread_num’ may be used uninitialized [-Wmaybe-uninitialized] 4564 | #pragma omp parallel firstprivate(__pyx_v_thread_num) private(__pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_16, __pyx_t_17, __pyx_t_18) num_threads(__pyx_v_num_threads) | ^~~ sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-x86_64-linux-gnu.so.p/_base.cpp: In function ‘__pyx_f_7sklearn_7metrics_29_pairwise_distances_reduction_5_base__sqeuclidean_row_norms32(_object*, long, int)’: sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-x86_64-linux-gnu.so.p/_base.cpp:4394:45: note: ‘__pyx_v_thread_num’ was declared here 4394 | __pyx_t_7sklearn_5utils_9_typedefs_intp_t __pyx_v_thread_num; | ^~~~~~~~~~~~~~~~~~ [132/253] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_datasets_pair.cpython-314-x86_64-linux-gnu.so.p/meson-generated__datasets_pair.cpp.o [133/253] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_middle_term_computer.cpython-314-x86_64-linux-gnu.so.p/meson-generated__middle_term_computer.cpp.o [134/253] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_argkmin.cpython-314-x86_64-linux-gnu.so.p/meson-generated__argkmin.cpp.o sklearn/metrics/_pairwise_distances_reduction/_argkmin.cpython-314-x86_64-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-x86_64-linux-gnu.so.p/_argkmin.cpp:6576:7: warning: ‘__pyx_clineno’ may be used uninitialized [-Wmaybe-uninitialized] 6576 | int __pyx_clineno = 0; | ^~~~~~~~~~~~~ sklearn/metrics/_pairwise_distances_reduction/_argkmin.cpython-314-x86_64-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-x86_64-linux-gnu.so.p/_argkmin.cpp:11000:7: warning: ‘__pyx_clineno’ may be used uninitialized [-Wmaybe-uninitialized] 11000 | int __pyx_clineno = 0; | ^~~~~~~~~~~~~ [135/253] Compiling C object sklearn/utils/sparsefuncs_fast.cpython-314-x86_64-linux-gnu.so.p/meson-generated_sparsefuncs_fast.c.o [136/253] Compiling C object sklearn/metrics/cluster/_expected_mutual_info_fast.cpython-314-x86_64-linux-gnu.so.p/meson-generated__expected_mutual_info_fast.c.o [137/253] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_argkmin_classmode.cpython-314-x86_64-linux-gnu.so.p/meson-generated__argkmin_classmode.cpp.o [138/253] Compiling C object sklearn/metrics/_dist_metrics.cpython-314-x86_64-linux-gnu.so.p/meson-generated__dist_metrics.c.o [139/253] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors.cpython-314-x86_64-linux-gnu.so.p/meson-generated__radius_neighbors.cpp.o sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors.cpython-314-x86_64-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-x86_64-linux-gnu.so.p/_radius_neighbors.cpp:9189:7: warning: ‘__pyx_clineno’ may be used uninitialized [-Wmaybe-uninitialized] 9189 | int __pyx_clineno = 0; | ^~~~~~~~~~~~~ sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors.cpython-314-x86_64-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-x86_64-linux-gnu.so.p/_radius_neighbors.cpp:13423:7: warning: ‘__pyx_clineno’ may be used uninitialized [-Wmaybe-uninitialized] 13423 | int __pyx_clineno = 0; | ^~~~~~~~~~~~~ [140/253] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors_classmode.cpython-314-x86_64-linux-gnu.so.p/meson-generated__radius_neighbors_classmode.cpp.o [141/253] Compiling C++ object sklearn/cluster/_dbscan_inner.cpython-314-x86_64-linux-gnu.so.p/meson-generated__dbscan_inner.cpp.o [142/253] Compiling C object sklearn/cluster/_k_means_minibatch.cpython-314-x86_64-linux-gnu.so.p/meson-generated__k_means_minibatch.c.o sklearn/cluster/_k_means_minibatch.cpython-314-x86_64-linux-gnu.so.p/_k_means_minibatch.c: In function ‘__pyx_pf_7sklearn_7cluster_18_k_means_minibatch_6_minibatch_update_dense’: sklearn/cluster/_k_means_minibatch.cpython-314-x86_64-linux-gnu.so.p/_k_means_minibatch.c:5302:21: warning: ‘__pyx_v_indices’ is used uninitialized [-Wuninitialized] 5302 | #pragma omp parallel firstprivate(__pyx_v_indices) private(__pyx_t_1, __pyx_t_2, __pyx_t_3) num_threads(__pyx_v_n_threads) | ^~~ sklearn/cluster/_k_means_minibatch.cpython-314-x86_64-linux-gnu.so.p/_k_means_minibatch.c:5256:8: note: ‘__pyx_v_indices’ was declared here 5256 | int *__pyx_v_indices; | ^~~~~~~~~~~~~~~ sklearn/cluster/_k_means_minibatch.cpython-314-x86_64-linux-gnu.so.p/_k_means_minibatch.c: In function ‘__pyx_pf_7sklearn_7cluster_18_k_means_minibatch_4_minibatch_update_dense’: sklearn/cluster/_k_means_minibatch.cpython-314-x86_64-linux-gnu.so.p/_k_means_minibatch.c:5028:21: warning: ‘__pyx_v_indices’ is used uninitialized [-Wuninitialized] 5028 | #pragma omp parallel firstprivate(__pyx_v_indices) private(__pyx_t_1, __pyx_t_2, __pyx_t_3) num_threads(__pyx_v_n_threads) | ^~~ sklearn/cluster/_k_means_minibatch.cpython-314-x86_64-linux-gnu.so.p/_k_means_minibatch.c:4982:8: note: ‘__pyx_v_indices’ was declared here 4982 | int *__pyx_v_indices; | ^~~~~~~~~~~~~~~ In function ‘__pyx_pf_7sklearn_7cluster_18_k_means_minibatch_12_minibatch_update_sparse’, inlined from ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_18_k_means_minibatch_13_minibatch_update_sparse’ at sklearn/cluster/_k_means_minibatch.cpython-314-x86_64-linux-gnu.so.p/_k_means_minibatch.c:6742:13: sklearn/cluster/_k_means_minibatch.cpython-314-x86_64-linux-gnu.so.p/_k_means_minibatch.c:6869:21: warning: ‘__pyx_v_indices’ may be used uninitialized [-Wmaybe-uninitialized] 6869 | #pragma omp parallel firstprivate(__pyx_v_indices) private(__pyx_t_5, __pyx_t_6, __pyx_t_7) num_threads(__pyx_v_n_threads) | ^~~ sklearn/cluster/_k_means_minibatch.cpython-314-x86_64-linux-gnu.so.p/_k_means_minibatch.c: In function ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_18_k_means_minibatch_13_minibatch_update_sparse’: sklearn/cluster/_k_means_minibatch.cpython-314-x86_64-linux-gnu.so.p/_k_means_minibatch.c:6764:8: note: ‘__pyx_v_indices’ was declared here 6764 | int *__pyx_v_indices; | ^~~~~~~~~~~~~~~ In function ‘__pyx_pf_7sklearn_7cluster_18_k_means_minibatch_10_minibatch_update_sparse’, inlined from ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_18_k_means_minibatch_11_minibatch_update_sparse’ at sklearn/cluster/_k_means_minibatch.cpython-314-x86_64-linux-gnu.so.p/_k_means_minibatch.c:6396:13: sklearn/cluster/_k_means_minibatch.cpython-314-x86_64-linux-gnu.so.p/_k_means_minibatch.c:6523:21: warning: ‘__pyx_v_indices’ may be used uninitialized [-Wmaybe-uninitialized] 6523 | #pragma omp parallel firstprivate(__pyx_v_indices) private(__pyx_t_5, __pyx_t_6, __pyx_t_7) num_threads(__pyx_v_n_threads) | ^~~ sklearn/cluster/_k_means_minibatch.cpython-314-x86_64-linux-gnu.so.p/_k_means_minibatch.c: In function ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_18_k_means_minibatch_11_minibatch_update_sparse’: sklearn/cluster/_k_means_minibatch.cpython-314-x86_64-linux-gnu.so.p/_k_means_minibatch.c:6418:8: note: ‘__pyx_v_indices’ was declared here 6418 | int *__pyx_v_indices; | ^~~~~~~~~~~~~~~ [143/253] Compiling C++ object sklearn/cluster/_hierarchical_fast.cpython-314-x86_64-linux-gnu.so.p/meson-generated__hierarchical_fast.cpp.o [144/253] Compiling C object sklearn/cluster/_k_means_lloyd.cpython-314-x86_64-linux-gnu.so.p/meson-generated__k_means_lloyd.c.o sklearn/cluster/_k_means_lloyd.cpython-314-x86_64-linux-gnu.so.p/_k_means_lloyd.c: In function ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_7lloyd_iter_chunked_dense’: sklearn/cluster/_k_means_lloyd.cpython-314-x86_64-linux-gnu.so.p/_k_means_lloyd.c:6183:11: warning: ‘__pyx_v_centers_new_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 6183 | double *__pyx_v_centers_new_chunk; | ^~~~~~~~~~~~~~~~~~~~~~~~~ sklearn/cluster/_k_means_lloyd.cpython-314-x86_64-linux-gnu.so.p/_k_means_lloyd.c:6184:11: warning: ‘__pyx_v_weight_in_clusters_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 6184 | double *__pyx_v_weight_in_clusters_chunk; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ sklearn/cluster/_k_means_lloyd.cpython-314-x86_64-linux-gnu.so.p/_k_means_lloyd.c:6185:11: warning: ‘__pyx_v_pairwise_distances_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 6185 | double *__pyx_v_pairwise_distances_chunk; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ sklearn/cluster/_k_means_lloyd.cpython-314-x86_64-linux-gnu.so.p/_k_means_lloyd.c:6181:7: warning: ‘__pyx_v_k’ may be used uninitialized [-Wmaybe-uninitialized] 6181 | int __pyx_v_k; | ^~~~~~~~~ sklearn/cluster/_k_means_lloyd.cpython-314-x86_64-linux-gnu.so.p/_k_means_lloyd.c:6180:7: warning: ‘__pyx_v_j’ may be used uninitialized [-Wmaybe-uninitialized] 6180 | int __pyx_v_j; | ^~~~~~~~~ sklearn/cluster/_k_means_lloyd.cpython-314-x86_64-linux-gnu.so.p/_k_means_lloyd.c: In function ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_5lloyd_iter_chunked_dense’: sklearn/cluster/_k_means_lloyd.cpython-314-x86_64-linux-gnu.so.p/_k_means_lloyd.c:5154:10: warning: ‘__pyx_v_centers_new_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 5154 | float *__pyx_v_centers_new_chunk; | ^~~~~~~~~~~~~~~~~~~~~~~~~ sklearn/cluster/_k_means_lloyd.cpython-314-x86_64-linux-gnu.so.p/_k_means_lloyd.c:5155:10: warning: ‘__pyx_v_weight_in_clusters_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 5155 | float *__pyx_v_weight_in_clusters_chunk; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ sklearn/cluster/_k_means_lloyd.cpython-314-x86_64-linux-gnu.so.p/_k_means_lloyd.c:5156:10: warning: ‘__pyx_v_pairwise_distances_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 5156 | float *__pyx_v_pairwise_distances_chunk; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ sklearn/cluster/_k_means_lloyd.cpython-314-x86_64-linux-gnu.so.p/_k_means_lloyd.c:5152:7: warning: ‘__pyx_v_k’ may be used uninitialized [-Wmaybe-uninitialized] 5152 | int __pyx_v_k; | ^~~~~~~~~ sklearn/cluster/_k_means_lloyd.cpython-314-x86_64-linux-gnu.so.p/_k_means_lloyd.c:5151:7: warning: ‘__pyx_v_j’ may be used uninitialized [-Wmaybe-uninitialized] 5151 | int __pyx_v_j; | ^~~~~~~~~ sklearn/cluster/_k_means_lloyd.cpython-314-x86_64-linux-gnu.so.p/_k_means_lloyd.c: In function ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_13lloyd_iter_chunked_sparse’: sklearn/cluster/_k_means_lloyd.cpython-314-x86_64-linux-gnu.so.p/_k_means_lloyd.c:9181:11: warning: ‘__pyx_v_centers_new_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 9181 | double *__pyx_v_centers_new_chunk; | ^~~~~~~~~~~~~~~~~~~~~~~~~ sklearn/cluster/_k_means_lloyd.cpython-314-x86_64-linux-gnu.so.p/_k_means_lloyd.c:9182:11: warning: ‘__pyx_v_weight_in_clusters_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 9182 | double *__pyx_v_weight_in_clusters_chunk; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ sklearn/cluster/_k_means_lloyd.cpython-314-x86_64-linux-gnu.so.p/_k_means_lloyd.c:9176:7: warning: ‘__pyx_v_k’ may be used uninitialized [-Wmaybe-uninitialized] 9176 | int __pyx_v_k; | ^~~~~~~~~ sklearn/cluster/_k_means_lloyd.cpython-314-x86_64-linux-gnu.so.p/_k_means_lloyd.c:9175:7: warning: ‘__pyx_v_j’ may be used uninitialized [-Wmaybe-uninitialized] 9175 | int __pyx_v_j; | ^~~~~~~~~ sklearn/cluster/_k_means_lloyd.cpython-314-x86_64-linux-gnu.so.p/_k_means_lloyd.c: In function ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_11lloyd_iter_chunked_sparse’: sklearn/cluster/_k_means_lloyd.cpython-314-x86_64-linux-gnu.so.p/_k_means_lloyd.c:8030:10: warning: ‘__pyx_v_centers_new_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 8030 | float *__pyx_v_centers_new_chunk; | ^~~~~~~~~~~~~~~~~~~~~~~~~ sklearn/cluster/_k_means_lloyd.cpython-314-x86_64-linux-gnu.so.p/_k_means_lloyd.c:8031:10: warning: ‘__pyx_v_weight_in_clusters_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 8031 | float *__pyx_v_weight_in_clusters_chunk; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ sklearn/cluster/_k_means_lloyd.cpython-314-x86_64-linux-gnu.so.p/_k_means_lloyd.c:8025:7: warning: ‘__pyx_v_k’ may be used uninitialized [-Wmaybe-uninitialized] 8025 | int __pyx_v_k; | ^~~~~~~~~ sklearn/cluster/_k_means_lloyd.cpython-314-x86_64-linux-gnu.so.p/_k_means_lloyd.c:8024:7: warning: ‘__pyx_v_j’ may be used uninitialized [-Wmaybe-uninitialized] 8024 | int __pyx_v_j; | ^~~~~~~~~ [145/253] Compiling C object sklearn/cluster/_k_means_common.cpython-314-x86_64-linux-gnu.so.p/meson-generated__k_means_common.c.o sklearn/cluster/_k_means_common.cpython-314-x86_64-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-x86_64-linux-gnu.so.p/_k_means_common.c:8745:138: warning: ‘__pyx_clineno’ may be used uninitialized [-Wmaybe-uninitialized] 8745 | __pyx_parallel_filename = __pyx_filename; __pyx_parallel_lineno = __pyx_lineno; __pyx_parallel_clineno = __pyx_clineno; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ sklearn/cluster/_k_means_common.cpython-314-x86_64-linux-gnu.so.p/_k_means_common.c:8412:7: note: ‘__pyx_clineno’ was declared here 8412 | int __pyx_clineno = 0; | ^~~~~~~~~~~~~ sklearn/cluster/_k_means_common.cpython-314-x86_64-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-x86_64-linux-gnu.so.p/_k_means_common.c:8095:138: warning: ‘__pyx_clineno’ may be used uninitialized [-Wmaybe-uninitialized] 8095 | __pyx_parallel_filename = __pyx_filename; __pyx_parallel_lineno = __pyx_lineno; __pyx_parallel_clineno = __pyx_clineno; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ sklearn/cluster/_k_means_common.cpython-314-x86_64-linux-gnu.so.p/_k_means_common.c:7762:7: note: ‘__pyx_clineno’ was declared here 7762 | int __pyx_clineno = 0; | ^~~~~~~~~~~~~ [146/253] Compiling C object sklearn/cluster/_hdbscan/_linkage.cpython-314-x86_64-linux-gnu.so.p/meson-generated__linkage.c.o [147/253] Compiling C object sklearn/cluster/_k_means_elkan.cpython-314-x86_64-linux-gnu.so.p/meson-generated__k_means_elkan.c.o sklearn/cluster/_k_means_elkan.cpython-314-x86_64-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-x86_64-linux-gnu.so.p/_k_means_elkan.c:6754:138: warning: ‘__pyx_clineno’ may be used uninitialized [-Wmaybe-uninitialized] 6754 | __pyx_parallel_filename = __pyx_filename; __pyx_parallel_lineno = __pyx_lineno; __pyx_parallel_clineno = __pyx_clineno; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ sklearn/cluster/_k_means_elkan.cpython-314-x86_64-linux-gnu.so.p/_k_means_elkan.c:6253:7: note: ‘__pyx_clineno’ was declared here 6253 | int __pyx_clineno = 0; | ^~~~~~~~~~~~~ sklearn/cluster/_k_means_elkan.cpython-314-x86_64-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-x86_64-linux-gnu.so.p/_k_means_elkan.c:7538:138: warning: ‘__pyx_clineno’ may be used uninitialized [-Wmaybe-uninitialized] 7538 | __pyx_parallel_filename = __pyx_filename; __pyx_parallel_lineno = __pyx_lineno; __pyx_parallel_clineno = __pyx_clineno; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ sklearn/cluster/_k_means_elkan.cpython-314-x86_64-linux-gnu.so.p/_k_means_elkan.c:7037:7: note: ‘__pyx_clineno’ was declared here 7037 | int __pyx_clineno = 0; | ^~~~~~~~~~~~~ sklearn/cluster/_k_means_elkan.cpython-314-x86_64-linux-gnu.so.p/_k_means_elkan.c: In function ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_elkan_23elkan_iter_chunked_dense’: sklearn/cluster/_k_means_elkan.cpython-314-x86_64-linux-gnu.so.p/_k_means_elkan.c:9304:11: warning: ‘__pyx_v_weight_in_clusters_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 9304 | double *__pyx_v_weight_in_clusters_chunk; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ sklearn/cluster/_k_means_elkan.cpython-314-x86_64-linux-gnu.so.p/_k_means_elkan.c:9303:11: warning: ‘__pyx_v_centers_new_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 9303 | double *__pyx_v_centers_new_chunk; | ^~~~~~~~~~~~~~~~~~~~~~~~~ sklearn/cluster/_k_means_elkan.cpython-314-x86_64-linux-gnu.so.p/_k_means_elkan.c:9302:7: warning: ‘__pyx_v_k’ may be used uninitialized [-Wmaybe-uninitialized] 9302 | int __pyx_v_k; | ^~~~~~~~~ sklearn/cluster/_k_means_elkan.cpython-314-x86_64-linux-gnu.so.p/_k_means_elkan.c:9301:7: warning: ‘__pyx_v_j’ may be used uninitialized [-Wmaybe-uninitialized] 9301 | int __pyx_v_j; | ^~~~~~~~~ sklearn/cluster/_k_means_elkan.cpython-314-x86_64-linux-gnu.so.p/_k_means_elkan.c: In function ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_elkan_21elkan_iter_chunked_dense’: sklearn/cluster/_k_means_elkan.cpython-314-x86_64-linux-gnu.so.p/_k_means_elkan.c:8148:10: warning: ‘__pyx_v_weight_in_clusters_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 8148 | float *__pyx_v_weight_in_clusters_chunk; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ sklearn/cluster/_k_means_elkan.cpython-314-x86_64-linux-gnu.so.p/_k_means_elkan.c:8147:10: warning: ‘__pyx_v_centers_new_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 8147 | float *__pyx_v_centers_new_chunk; | ^~~~~~~~~~~~~~~~~~~~~~~~~ sklearn/cluster/_k_means_elkan.cpython-314-x86_64-linux-gnu.so.p/_k_means_elkan.c:8146:7: warning: ‘__pyx_v_k’ may be used uninitialized [-Wmaybe-uninitialized] 8146 | int __pyx_v_k; | ^~~~~~~~~ sklearn/cluster/_k_means_elkan.cpython-314-x86_64-linux-gnu.so.p/_k_means_elkan.c:8145:7: warning: ‘__pyx_v_j’ may be used uninitialized [-Wmaybe-uninitialized] 8145 | int __pyx_v_j; | ^~~~~~~~~ sklearn/cluster/_k_means_elkan.cpython-314-x86_64-linux-gnu.so.p/_k_means_elkan.c: In function ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_elkan_29elkan_iter_chunked_sparse’: sklearn/cluster/_k_means_elkan.cpython-314-x86_64-linux-gnu.so.p/_k_means_elkan.c:12971:11: warning: ‘__pyx_v_centers_new_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 12971 | double *__pyx_v_centers_new_chunk; | ^~~~~~~~~~~~~~~~~~~~~~~~~ sklearn/cluster/_k_means_elkan.cpython-314-x86_64-linux-gnu.so.p/_k_means_elkan.c:12972:11: warning: ‘__pyx_v_weight_in_clusters_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 12972 | double *__pyx_v_weight_in_clusters_chunk; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ sklearn/cluster/_k_means_elkan.cpython-314-x86_64-linux-gnu.so.p/_k_means_elkan.c:12969:7: warning: ‘__pyx_v_k’ may be used uninitialized [-Wmaybe-uninitialized] 12969 | int __pyx_v_k; | ^~~~~~~~~ sklearn/cluster/_k_means_elkan.cpython-314-x86_64-linux-gnu.so.p/_k_means_elkan.c:12968:7: warning: ‘__pyx_v_j’ may be used uninitialized [-Wmaybe-uninitialized] 12968 | int __pyx_v_j; | ^~~~~~~~~ sklearn/cluster/_k_means_elkan.cpython-314-x86_64-linux-gnu.so.p/_k_means_elkan.c: In function ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_elkan_27elkan_iter_chunked_sparse’: sklearn/cluster/_k_means_elkan.cpython-314-x86_64-linux-gnu.so.p/_k_means_elkan.c:11632:10: warning: ‘__pyx_v_centers_new_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 11632 | float *__pyx_v_centers_new_chunk; | ^~~~~~~~~~~~~~~~~~~~~~~~~ sklearn/cluster/_k_means_elkan.cpython-314-x86_64-linux-gnu.so.p/_k_means_elkan.c:11633:10: warning: ‘__pyx_v_weight_in_clusters_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 11633 | float *__pyx_v_weight_in_clusters_chunk; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ sklearn/cluster/_k_means_elkan.cpython-314-x86_64-linux-gnu.so.p/_k_means_elkan.c:11630:7: warning: ‘__pyx_v_k’ may be used uninitialized [-Wmaybe-uninitialized] 11630 | int __pyx_v_k; | ^~~~~~~~~ sklearn/cluster/_k_means_elkan.cpython-314-x86_64-linux-gnu.so.p/_k_means_elkan.c:11629:7: warning: ‘__pyx_v_j’ may be used uninitialized [-Wmaybe-uninitialized] 11629 | int __pyx_v_j; | ^~~~~~~~~ [148/253] Compiling C object sklearn/decomposition/_cdnmf_fast.cpython-314-x86_64-linux-gnu.so.p/meson-generated__cdnmf_fast.c.o [149/253] Compiling C object sklearn/decomposition/_online_lda_fast.cpython-314-x86_64-linux-gnu.so.p/meson-generated__online_lda_fast.c.o [150/253] Compiling C object sklearn/cluster/_hdbscan/_reachability.cpython-314-x86_64-linux-gnu.so.p/meson-generated__reachability.c.o [151/253] Compiling C object sklearn/ensemble/_hist_gradient_boosting/_gradient_boosting.cpython-314-x86_64-linux-gnu.so.p/meson-generated__gradient_boosting.c.o [152/253] Compiling C object sklearn/ensemble/_gradient_boosting.cpython-314-x86_64-linux-gnu.so.p/meson-generated__gradient_boosting.c.o [153/253] Compiling C object sklearn/cluster/_hdbscan/_tree.cpython-314-x86_64-linux-gnu.so.p/meson-generated__tree.c.o [154/253] Compiling C object sklearn/ensemble/_hist_gradient_boosting/_binning.cpython-314-x86_64-linux-gnu.so.p/meson-generated__binning.c.o [155/253] Compiling C object sklearn/ensemble/_hist_gradient_boosting/_bitset.cpython-314-x86_64-linux-gnu.so.p/meson-generated__bitset.c.o [156/253] Compiling C object sklearn/ensemble/_hist_gradient_boosting/_predictor.cpython-314-x86_64-linux-gnu.so.p/meson-generated__predictor.c.o [157/253] Compiling C object sklearn/ensemble/_hist_gradient_boosting/histogram.cpython-314-x86_64-linux-gnu.so.p/meson-generated_histogram.c.o [158/253] Compiling C object sklearn/ensemble/_hist_gradient_boosting/common.cpython-314-x86_64-linux-gnu.so.p/meson-generated_common.c.o [159/253] Compiling C object sklearn/ensemble/_hist_gradient_boosting/splitting.cpython-314-x86_64-linux-gnu.so.p/meson-generated_splitting.c.o [160/253] Compiling C++ object sklearn/feature_extraction/_hashing_fast.cpython-314-x86_64-linux-gnu.so.p/meson-generated__hashing_fast.cpp.o [161/253] Compiling C object sklearn/manifold/_utils.cpython-314-x86_64-linux-gnu.so.p/meson-generated__utils.c.o [162/253] Compiling C object sklearn/linear_model/_sag_fast.cpython-314-x86_64-linux-gnu.so.p/meson-generated__sag_fast.c.o [163/253] Compiling C object sklearn/datasets/_svmlight_format_fast.cpython-314-x86_64-linux-gnu.so.p/meson-generated__svmlight_format_fast.c.o [164/253] Compiling C object sklearn/manifold/_barnes_hut_tsne.cpython-314-x86_64-linux-gnu.so.p/meson-generated__barnes_hut_tsne.c.o sklearn/manifold/_barnes_hut_tsne.cpython-314-x86_64-linux-gnu.so.p/_barnes_hut_tsne.c: In function ‘__pyx_f_7sklearn_8manifold_16_barnes_hut_tsne_compute_gradient_negative’: sklearn/manifold/_barnes_hut_tsne.cpython-314-x86_64-linux-gnu.so.p/_barnes_hut_tsne.c:6286:21: warning: ‘__pyx_v_summary’ is used uninitialized [-Wuninitialized] 6286 | #pragma omp parallel firstprivate(__pyx_v_force, __pyx_v_neg_force, __pyx_v_pos, __pyx_v_summary) reduction(+:__pyx_v_dta) reduction(+:__pyx_v_dtb) reduction(+:__pyx_v_sum_Q) private(__pyx_t_1, __pyx_t_10, __pyx_t_11, __pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_2, __pyx_t_3, __pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) num_threads(__pyx_v_num_threads) | ^~~ sklearn/manifold/_barnes_hut_tsne.cpython-314-x86_64-linux-gnu.so.p/_barnes_hut_tsne.c:6137:10: note: ‘__pyx_v_summary’ was declared here 6137 | float *__pyx_v_summary; | ^~~~~~~~~~~~~~~ sklearn/manifold/_barnes_hut_tsne.cpython-314-x86_64-linux-gnu.so.p/_barnes_hut_tsne.c:6286:21: warning: ‘__pyx_v_pos’ is used uninitialized [-Wuninitialized] 6286 | #pragma omp parallel firstprivate(__pyx_v_force, __pyx_v_neg_force, __pyx_v_pos, __pyx_v_summary) reduction(+:__pyx_v_dta) reduction(+:__pyx_v_dtb) reduction(+:__pyx_v_sum_Q) private(__pyx_t_1, __pyx_t_10, __pyx_t_11, __pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_2, __pyx_t_3, __pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) num_threads(__pyx_v_num_threads) | ^~~ sklearn/manifold/_barnes_hut_tsne.cpython-314-x86_64-linux-gnu.so.p/_barnes_hut_tsne.c:6132:10: note: ‘__pyx_v_pos’ was declared here 6132 | float *__pyx_v_pos; | ^~~~~~~~~~~ sklearn/manifold/_barnes_hut_tsne.cpython-314-x86_64-linux-gnu.so.p/_barnes_hut_tsne.c:6286:21: warning: ‘__pyx_v_neg_force’ is used uninitialized [-Wuninitialized] 6286 | #pragma omp parallel firstprivate(__pyx_v_force, __pyx_v_neg_force, __pyx_v_pos, __pyx_v_summary) reduction(+:__pyx_v_dta) reduction(+:__pyx_v_dtb) reduction(+:__pyx_v_sum_Q) private(__pyx_t_1, __pyx_t_10, __pyx_t_11, __pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_2, __pyx_t_3, __pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) num_threads(__pyx_v_num_threads) | ^~~ sklearn/manifold/_barnes_hut_tsne.cpython-314-x86_64-linux-gnu.so.p/_barnes_hut_tsne.c:6131:10: note: ‘__pyx_v_neg_force’ was declared here 6131 | float *__pyx_v_neg_force; | ^~~~~~~~~~~~~~~~~ sklearn/manifold/_barnes_hut_tsne.cpython-314-x86_64-linux-gnu.so.p/_barnes_hut_tsne.c:6286:21: warning: ‘__pyx_v_force’ is used uninitialized [-Wuninitialized] 6286 | #pragma omp parallel firstprivate(__pyx_v_force, __pyx_v_neg_force, __pyx_v_pos, __pyx_v_summary) reduction(+:__pyx_v_dta) reduction(+:__pyx_v_dtb) reduction(+:__pyx_v_sum_Q) private(__pyx_t_1, __pyx_t_10, __pyx_t_11, __pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_2, __pyx_t_3, __pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) num_threads(__pyx_v_num_threads) | ^~~ sklearn/manifold/_barnes_hut_tsne.cpython-314-x86_64-linux-gnu.so.p/_barnes_hut_tsne.c:6130:10: note: ‘__pyx_v_force’ was declared here 6130 | float *__pyx_v_force; | ^~~~~~~~~~~~~ sklearn/manifold/_barnes_hut_tsne.cpython-314-x86_64-linux-gnu.so.p/_barnes_hut_tsne.c: In function ‘__pyx_f_7sklearn_8manifold_16_barnes_hut_tsne_compute_gradient_positive’: sklearn/manifold/_barnes_hut_tsne.cpython-314-x86_64-linux-gnu.so.p/_barnes_hut_tsne.c:5741:21: warning: ‘__pyx_v_buff’ is used uninitialized [-Wuninitialized] 5741 | #pragma omp parallel firstprivate(__pyx_v_buff) reduction(+:__pyx_v_C) private(__pyx_t_1, __pyx_t_10, __pyx_t_11, __pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_16, __pyx_t_17, __pyx_t_18, __pyx_t_19, __pyx_t_2, __pyx_t_20, __pyx_t_21, __pyx_t_3, __pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) num_threads(__pyx_v_num_threads) | ^~~ sklearn/manifold/_barnes_hut_tsne.cpython-314-x86_64-linux-gnu.so.p/_barnes_hut_tsne.c:5620:10: note: ‘__pyx_v_buff’ was declared here 5620 | float *__pyx_v_buff; | ^~~~~~~~~~~~ [165/253] Compiling C object sklearn/linear_model/_sgd_fast.cpython-314-x86_64-linux-gnu.so.p/meson-generated__sgd_fast.c.o [166/253] Compiling C++ object sklearn/neighbors/_partition_nodes.cpython-314-x86_64-linux-gnu.so.p/meson-generated__partition_nodes.cpp.o [167/253] Compiling C object sklearn/_loss/_loss.cpython-314-x86_64-linux-gnu.so.p/meson-generated__loss.c.o sklearn/_loss/_loss.cpython-314-x86_64-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_0_0__pyx_pw_5_loss_21CyHalfMultinomialLoss_19loss’: sklearn/_loss/_loss.cpython-314-x86_64-linux-gnu.so.p/_loss.c:84675:11: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 84675 | double *__pyx_v_p; | ^~~~~~~~~ sklearn/_loss/_loss.cpython-314-x86_64-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_0_1__pyx_pw_5_loss_21CyHalfMultinomialLoss_21loss’: sklearn/_loss/_loss.cpython-314-x86_64-linux-gnu.so.p/_loss.c:85185:11: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 85185 | double *__pyx_v_p; | ^~~~~~~~~ In function ‘__pyx_pf_5_loss_21CyHalfMultinomialLoss_22loss’, inlined from ‘__pyx_fuse_1_0__pyx_pw_5_loss_21CyHalfMultinomialLoss_23loss’ at sklearn/_loss/_loss.cpython-314-x86_64-linux-gnu.so.p/_loss.c:85674:13: sklearn/_loss/_loss.cpython-314-x86_64-linux-gnu.so.p/_loss.c:85757:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 85757 | #pragma omp parallel firstprivate(__pyx_v_p) private(__pyx_t_2, __pyx_t_3, __pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7, __pyx_t_8) num_threads(__pyx_v_n_threads) | ^~~ sklearn/_loss/_loss.cpython-314-x86_64-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_1_0__pyx_pw_5_loss_21CyHalfMultinomialLoss_23loss’: sklearn/_loss/_loss.cpython-314-x86_64-linux-gnu.so.p/_loss.c:85695:10: note: ‘__pyx_v_p’ was declared here 85695 | float *__pyx_v_p; | ^~~~~~~~~ In function ‘__pyx_pf_5_loss_21CyHalfMultinomialLoss_24loss’, inlined from ‘__pyx_fuse_1_1__pyx_pw_5_loss_21CyHalfMultinomialLoss_25loss’ at sklearn/_loss/_loss.cpython-314-x86_64-linux-gnu.so.p/_loss.c:86184:13: sklearn/_loss/_loss.cpython-314-x86_64-linux-gnu.so.p/_loss.c:86267:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 86267 | #pragma omp parallel firstprivate(__pyx_v_p) private(__pyx_t_2, __pyx_t_3, __pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7, __pyx_t_8) num_threads(__pyx_v_n_threads) | ^~~ sklearn/_loss/_loss.cpython-314-x86_64-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_1_1__pyx_pw_5_loss_21CyHalfMultinomialLoss_25loss’: sklearn/_loss/_loss.cpython-314-x86_64-linux-gnu.so.p/_loss.c:86205:10: note: ‘__pyx_v_p’ was declared here 86205 | float *__pyx_v_p; | ^~~~~~~~~ sklearn/_loss/_loss.cpython-314-x86_64-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_0_0__pyx_pw_5_loss_21CyHalfMultinomialLoss_29loss_gradient’: sklearn/_loss/_loss.cpython-314-x86_64-linux-gnu.so.p/_loss.c:87068:11: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 87068 | double *__pyx_v_p; | ^~~~~~~~~ sklearn/_loss/_loss.cpython-314-x86_64-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_0_1__pyx_pw_5_loss_21CyHalfMultinomialLoss_31loss_gradient’: sklearn/_loss/_loss.cpython-314-x86_64-linux-gnu.so.p/_loss.c:87684:11: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 87684 | double *__pyx_v_p; | ^~~~~~~~~ sklearn/_loss/_loss.cpython-314-x86_64-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_1_0__pyx_pw_5_loss_21CyHalfMultinomialLoss_33loss_gradient’: sklearn/_loss/_loss.cpython-314-x86_64-linux-gnu.so.p/_loss.c:88300:10: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 88300 | float *__pyx_v_p; | ^~~~~~~~~ sklearn/_loss/_loss.cpython-314-x86_64-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_1_1__pyx_pw_5_loss_21CyHalfMultinomialLoss_35loss_gradient’: sklearn/_loss/_loss.cpython-314-x86_64-linux-gnu.so.p/_loss.c:88916:10: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 88916 | float *__pyx_v_p; | ^~~~~~~~~ sklearn/_loss/_loss.cpython-314-x86_64-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_0_0__pyx_pw_5_loss_21CyHalfMultinomialLoss_39gradient’: sklearn/_loss/_loss.cpython-314-x86_64-linux-gnu.so.p/_loss.c:89864:11: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 89864 | double *__pyx_v_p; | ^~~~~~~~~ sklearn/_loss/_loss.cpython-314-x86_64-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_0_1__pyx_pw_5_loss_21CyHalfMultinomialLoss_41gradient’: sklearn/_loss/_loss.cpython-314-x86_64-linux-gnu.so.p/_loss.c:90354:11: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 90354 | double *__pyx_v_p; | ^~~~~~~~~ In function ‘__pyx_pf_5_loss_21CyHalfMultinomialLoss_42gradient’, inlined from ‘__pyx_fuse_1_0__pyx_pw_5_loss_21CyHalfMultinomialLoss_43gradient’ at sklearn/_loss/_loss.cpython-314-x86_64-linux-gnu.so.p/_loss.c:90824:13: sklearn/_loss/_loss.cpython-314-x86_64-linux-gnu.so.p/_loss.c:90911:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 90911 | #pragma omp parallel firstprivate(__pyx_v_p) private(__pyx_t_10, __pyx_t_11, __pyx_t_12, __pyx_t_2, __pyx_t_3, __pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) num_threads(__pyx_v_n_threads) | ^~~ sklearn/_loss/_loss.cpython-314-x86_64-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_1_0__pyx_pw_5_loss_21CyHalfMultinomialLoss_43gradient’: sklearn/_loss/_loss.cpython-314-x86_64-linux-gnu.so.p/_loss.c:90844:10: note: ‘__pyx_v_p’ was declared here 90844 | float *__pyx_v_p; | ^~~~~~~~~ In function ‘__pyx_pf_5_loss_21CyHalfMultinomialLoss_44gradient’, inlined from ‘__pyx_fuse_1_1__pyx_pw_5_loss_21CyHalfMultinomialLoss_45gradient’ at sklearn/_loss/_loss.cpython-314-x86_64-linux-gnu.so.p/_loss.c:91314:13: sklearn/_loss/_loss.cpython-314-x86_64-linux-gnu.so.p/_loss.c:91401:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 91401 | #pragma omp parallel firstprivate(__pyx_v_p) private(__pyx_t_10, __pyx_t_11, __pyx_t_12, __pyx_t_2, __pyx_t_3, __pyx_t_4, __pyx_t_5, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) num_threads(__pyx_v_n_threads) | ^~~ sklearn/_loss/_loss.cpython-314-x86_64-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_1_1__pyx_pw_5_loss_21CyHalfMultinomialLoss_45gradient’: sklearn/_loss/_loss.cpython-314-x86_64-linux-gnu.so.p/_loss.c:91334:10: note: ‘__pyx_v_p’ was declared here 91334 | float *__pyx_v_p; | ^~~~~~~~~ sklearn/_loss/_loss.cpython-314-x86_64-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_0_0__pyx_pw_5_loss_21CyHalfMultinomialLoss_49gradient_hessian’: sklearn/_loss/_loss.cpython-314-x86_64-linux-gnu.so.p/_loss.c:92177:11: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 92177 | double *__pyx_v_p; | ^~~~~~~~~ sklearn/_loss/_loss.cpython-314-x86_64-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_0_1__pyx_pw_5_loss_21CyHalfMultinomialLoss_51gradient_hessian’: sklearn/_loss/_loss.cpython-314-x86_64-linux-gnu.so.p/_loss.c:92700:11: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 92700 | double *__pyx_v_p; | ^~~~~~~~~ sklearn/_loss/_loss.cpython-314-x86_64-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_1_0__pyx_pw_5_loss_21CyHalfMultinomialLoss_53gradient_hessian’: sklearn/_loss/_loss.cpython-314-x86_64-linux-gnu.so.p/_loss.c:93223:10: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 93223 | float *__pyx_v_p; | ^~~~~~~~~ sklearn/_loss/_loss.cpython-314-x86_64-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_1_1__pyx_pw_5_loss_21CyHalfMultinomialLoss_55gradient_hessian’: sklearn/_loss/_loss.cpython-314-x86_64-linux-gnu.so.p/_loss.c:93746:10: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 93746 | float *__pyx_v_p; | ^~~~~~~~~ sklearn/_loss/_loss.cpython-314-x86_64-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_0_0__pyx_pw_5_loss_21CyHalfMultinomialLoss_59gradient_proba’: sklearn/_loss/_loss.cpython-314-x86_64-linux-gnu.so.p/_loss.c:94612:11: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 94612 | double *__pyx_v_p; | ^~~~~~~~~ sklearn/_loss/_loss.cpython-314-x86_64-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_0_1__pyx_pw_5_loss_21CyHalfMultinomialLoss_61gradient_proba’: sklearn/_loss/_loss.cpython-314-x86_64-linux-gnu.so.p/_loss.c:95117:11: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 95117 | double *__pyx_v_p; | ^~~~~~~~~ sklearn/_loss/_loss.cpython-314-x86_64-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_1_0__pyx_pw_5_loss_21CyHalfMultinomialLoss_63gradient_proba’: sklearn/_loss/_loss.cpython-314-x86_64-linux-gnu.so.p/_loss.c:95622:10: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 95622 | float *__pyx_v_p; | ^~~~~~~~~ sklearn/_loss/_loss.cpython-314-x86_64-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_1_1__pyx_pw_5_loss_21CyHalfMultinomialLoss_65gradient_proba’: sklearn/_loss/_loss.cpython-314-x86_64-linux-gnu.so.p/_loss.c:96127:10: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 96127 | float *__pyx_v_p; | ^~~~~~~~~ [168/253] Compiling C object sklearn/neighbors/_quad_tree.cpython-314-x86_64-linux-gnu.so.p/meson-generated__quad_tree.c.o [169/253] Compiling C++ object sklearn/svm/_newrand.cpython-314-x86_64-linux-gnu.so.p/meson-generated__newrand.cpp.o [170/253] Linking static target sklearn/svm/liblibsvm-skl.a [171/253] Compiling C object sklearn/linear_model/_cd_fast.cpython-314-x86_64-linux-gnu.so.p/meson-generated__cd_fast.c.o [172/253] Compiling C object sklearn/preprocessing/_csr_polynomial_expansion.cpython-314-x86_64-linux-gnu.so.p/meson-generated__csr_polynomial_expansion.c.o [173/253] Linking static target sklearn/svm/libliblinear-skl.a [174/253] Compiling C object sklearn/svm/_liblinear.cpython-314-x86_64-linux-gnu.so.p/meson-generated__liblinear.c.o [175/253] Compiling C object sklearn/svm/_libsvm_sparse.cpython-314-x86_64-linux-gnu.so.p/meson-generated__libsvm_sparse.c.o [176/253] Compiling C object sklearn/svm/_libsvm.cpython-314-x86_64-linux-gnu.so.p/meson-generated__libsvm.c.o [177/253] Compiling C object sklearn/tree/_splitter.cpython-314-x86_64-linux-gnu.so.p/meson-generated__splitter.c.o [178/253] Compiling C++ object sklearn/preprocessing/_target_encoder_fast.cpython-314-x86_64-linux-gnu.so.p/meson-generated__target_encoder_fast.cpp.o [179/253] Compiling C object sklearn/neighbors/_ball_tree.cpython-314-x86_64-linux-gnu.so.p/meson-generated__ball_tree.c.o sklearn/neighbors/_ball_tree.cpython-314-x86_64-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-x86_64-linux-gnu.so.p/_ball_tree.c:16525:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 16525 | __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-x86_64-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-x86_64-linux-gnu.so.p/_ball_tree.c:23891:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 23891 | __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-x86_64-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-x86_64-linux-gnu.so.p/_ball_tree.c:24440:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 24440 | __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-x86_64-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-x86_64-linux-gnu.so.p/_ball_tree.c:25345:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 25345 | __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-x86_64-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-x86_64-linux-gnu.so.p/_ball_tree.c:25955:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 25955 | __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-x86_64-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-x86_64-linux-gnu.so.p/_ball_tree.c:26358:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 26358 | __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-x86_64-linux-gnu.so.p/_ball_tree.c:26368:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 26368 | __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-x86_64-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-x86_64-linux-gnu.so.p/_ball_tree.c:30400:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 30400 | __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-x86_64-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-x86_64-linux-gnu.so.p/_ball_tree.c:37775:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 37775 | __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-x86_64-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-x86_64-linux-gnu.so.p/_ball_tree.c:38324:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 38324 | __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-x86_64-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-x86_64-linux-gnu.so.p/_ball_tree.c:39229:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 39229 | __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-x86_64-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-x86_64-linux-gnu.so.p/_ball_tree.c:39839:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 39839 | __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-x86_64-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-x86_64-linux-gnu.so.p/_ball_tree.c:40242:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 40242 | __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-x86_64-linux-gnu.so.p/_ball_tree.c:40252:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 40252 | __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-x86_64-linux-gnu.so.p/_ball_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_init_node64’: sklearn/neighbors/_ball_tree.cpython-314-x86_64-linux-gnu.so.p/_ball_tree.c:42158:20: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 42158 | __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-x86_64-linux-gnu.so.p/_ball_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_init_node32’: sklearn/neighbors/_ball_tree.cpython-314-x86_64-linux-gnu.so.p/_ball_tree.c:43531:20: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 43531 | __pyx_v_centroid = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_float32_t const *) ( /* dim=2 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_float32_t const *) ( /* dim=1 */ (( /* dim=0 */ (__pyx_v_tree->node_bounds.data + __pyx_t_2 * __pyx_v_tree->node_bounds.strides[0]) ) + __pyx_t_3 * __pyx_v_tree->node_bounds.strides[1]) )) + __pyx_t_1)) )))); | ^ In function ‘__pyx_fuse_0__pyx_f_7sklearn_9neighbors_10_ball_tree__total_node_weight’, inlined from ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree32__kde_single_depthfirst’ at sklearn/neighbors/_ball_tree.cpython-314-x86_64-linux-gnu.so.p/_ball_tree.c:39551:19: sklearn/neighbors/_ball_tree.cpython-314-x86_64-linux-gnu.so.p/_ball_tree.c:41868:52: warning: ‘__pyx_v_sample_weight’ may be used uninitialized [-Wmaybe-uninitialized] 41868 | __pyx_v_N = (__pyx_v_N + (__pyx_v_sample_weight[(__pyx_v_idx_array[__pyx_v_i])])); | ^ sklearn/neighbors/_ball_tree.cpython-314-x86_64-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-x86_64-linux-gnu.so.p/_ball_tree.c:39129:55: note: ‘__pyx_v_sample_weight’ was declared here 39129 | __pyx_t_7sklearn_5utils_9_typedefs_float32_t const *__pyx_v_sample_weight; | ^~~~~~~~~~~~~~~~~~~~~ In function ‘__pyx_fuse_1__pyx_f_7sklearn_9neighbors_10_ball_tree__total_node_weight’, inlined from ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree64__kde_single_depthfirst’ at sklearn/neighbors/_ball_tree.cpython-314-x86_64-linux-gnu.so.p/_ball_tree.c:25667:19: sklearn/neighbors/_ball_tree.cpython-314-x86_64-linux-gnu.so.p/_ball_tree.c:41927:52: warning: ‘__pyx_v_sample_weight’ may be used uninitialized [-Wmaybe-uninitialized] 41927 | __pyx_v_N = (__pyx_v_N + (__pyx_v_sample_weight[(__pyx_v_idx_array[__pyx_v_i])])); | ^ sklearn/neighbors/_ball_tree.cpython-314-x86_64-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-x86_64-linux-gnu.so.p/_ball_tree.c:25245:55: note: ‘__pyx_v_sample_weight’ was declared here 25245 | __pyx_t_7sklearn_5utils_9_typedefs_float64_t const *__pyx_v_sample_weight; | ^~~~~~~~~~~~~~~~~~~~~ [180/253] Compiling C object sklearn/neighbors/_kd_tree.cpython-314-x86_64-linux-gnu.so.p/meson-generated__kd_tree.c.o sklearn/neighbors/_kd_tree.cpython-314-x86_64-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-x86_64-linux-gnu.so.p/_kd_tree.c:16505:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 16505 | __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-x86_64-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-x86_64-linux-gnu.so.p/_kd_tree.c:23871:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 23871 | __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-x86_64-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-x86_64-linux-gnu.so.p/_kd_tree.c:24420:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 24420 | __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-x86_64-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-x86_64-linux-gnu.so.p/_kd_tree.c:25325:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 25325 | __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-x86_64-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-x86_64-linux-gnu.so.p/_kd_tree.c:25935:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 25935 | __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-x86_64-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-x86_64-linux-gnu.so.p/_kd_tree.c:26338:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 26338 | __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-x86_64-linux-gnu.so.p/_kd_tree.c:26348:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 26348 | __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-x86_64-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-x86_64-linux-gnu.so.p/_kd_tree.c:30380:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 30380 | __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-x86_64-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-x86_64-linux-gnu.so.p/_kd_tree.c:37755:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 37755 | __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-x86_64-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-x86_64-linux-gnu.so.p/_kd_tree.c:38304:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 38304 | __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-x86_64-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-x86_64-linux-gnu.so.p/_kd_tree.c:39209:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 39209 | __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-x86_64-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-x86_64-linux-gnu.so.p/_kd_tree.c:39819:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 39819 | __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-x86_64-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-x86_64-linux-gnu.so.p/_kd_tree.c:40222:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 40222 | __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-x86_64-linux-gnu.so.p/_kd_tree.c:40232:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 40232 | __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-x86_64-linux-gnu.so.p/_kd_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_init_node64’: sklearn/neighbors/_kd_tree.cpython-314-x86_64-linux-gnu.so.p/_kd_tree.c:42113:24: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 42113 | __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-x86_64-linux-gnu.so.p/_kd_tree.c:42125:24: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 42125 | __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-x86_64-linux-gnu.so.p/_kd_tree.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_init_node32’: sklearn/neighbors/_kd_tree.cpython-314-x86_64-linux-gnu.so.p/_kd_tree.c:43940:24: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 43940 | __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-x86_64-linux-gnu.so.p/_kd_tree.c:43952:24: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 43952 | __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-x86_64-linux-gnu.so.p/_kd_tree.c:39531:19: sklearn/neighbors/_kd_tree.cpython-314-x86_64-linux-gnu.so.p/_kd_tree.c:41848:52: warning: ‘__pyx_v_sample_weight’ may be used uninitialized [-Wmaybe-uninitialized] 41848 | __pyx_v_N = (__pyx_v_N + (__pyx_v_sample_weight[(__pyx_v_idx_array[__pyx_v_i])])); | ^ sklearn/neighbors/_kd_tree.cpython-314-x86_64-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-x86_64-linux-gnu.so.p/_kd_tree.c:39109:55: note: ‘__pyx_v_sample_weight’ was declared here 39109 | __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-x86_64-linux-gnu.so.p/_kd_tree.c:25647:19: sklearn/neighbors/_kd_tree.cpython-314-x86_64-linux-gnu.so.p/_kd_tree.c:41907:52: warning: ‘__pyx_v_sample_weight’ may be used uninitialized [-Wmaybe-uninitialized] 41907 | __pyx_v_N = (__pyx_v_N + (__pyx_v_sample_weight[(__pyx_v_idx_array[__pyx_v_i])])); | ^ sklearn/neighbors/_kd_tree.cpython-314-x86_64-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-x86_64-linux-gnu.so.p/_kd_tree.c:25225:55: note: ‘__pyx_v_sample_weight’ was declared here 25225 | __pyx_t_7sklearn_5utils_9_typedefs_float64_t const *__pyx_v_sample_weight; | ^~~~~~~~~~~~~~~~~~~~~ [181/253] Compiling C object sklearn/tree/_partitioner.cpython-314-x86_64-linux-gnu.so.p/meson-generated__partitioner.c.o [182/253] Linking target sklearn/__check_build/_check_build.cpython-314-x86_64-linux-gnu.so [183/253] Compiling C object sklearn/tree/_utils.cpython-314-x86_64-linux-gnu.so.p/meson-generated__utils.c.o [184/253] Linking target sklearn/_cyutility.cpython-314-x86_64-linux-gnu.so [185/253] Linking target sklearn/_isotonic.cpython-314-x86_64-linux-gnu.so [186/253] Linking target sklearn/utils/_cython_blas.cpython-314-x86_64-linux-gnu.so [187/253] Compiling C object sklearn/tree/_criterion.cpython-314-x86_64-linux-gnu.so.p/meson-generated__criterion.c.o [188/253] Linking target sklearn/utils/arrayfuncs.cpython-314-x86_64-linux-gnu.so [189/253] Linking target sklearn/utils/murmurhash.cpython-314-x86_64-linux-gnu.so [190/253] Compiling C++ object sklearn/tree/_tree.cpython-314-x86_64-linux-gnu.so.p/meson-generated__tree.cpp.o In file included from /usr/include/c++/15/x86_64-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-x86_64-linux-gnu.so.p/_tree.cpp:1186: 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-x86_64-linux-gnu.so.p/_tree.cpp:27394:44: /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-x86_64-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-x86_64-linux-gnu.so.p/_tree.cpp:26430:45: note: ‘__pyx_v_pruned_branch_node_idx’ was declared here 26430 | __pyx_t_7sklearn_5utils_9_typedefs_intp_t __pyx_v_pruned_branch_node_idx; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [191/253] Linking target sklearn/utils/_openmp_helpers.cpython-314-x86_64-linux-gnu.so [192/253] Linking target sklearn/utils/_heap.cpython-314-x86_64-linux-gnu.so [193/253] Linking target sklearn/utils/_fast_dict.cpython-314-x86_64-linux-gnu.so [194/253] Linking target sklearn/utils/_sorting.cpython-314-x86_64-linux-gnu.so [195/253] Linking target sklearn/utils/sparsefuncs_fast.cpython-314-x86_64-linux-gnu.so [196/253] Linking target sklearn/utils/_typedefs.cpython-314-x86_64-linux-gnu.so [197/253] Linking target sklearn/utils/_isfinite.cpython-314-x86_64-linux-gnu.so [198/253] Linking target sklearn/utils/_random.cpython-314-x86_64-linux-gnu.so [199/253] Linking target sklearn/utils/_weight_vector.cpython-314-x86_64-linux-gnu.so [200/253] Linking target sklearn/utils/_vector_sentinel.cpython-314-x86_64-linux-gnu.so [201/253] Linking target sklearn/utils/_seq_dataset.cpython-314-x86_64-linux-gnu.so [202/253] Linking target sklearn/metrics/_pairwise_fast.cpython-314-x86_64-linux-gnu.so [203/253] Linking target sklearn/metrics/_pairwise_distances_reduction/_datasets_pair.cpython-314-x86_64-linux-gnu.so [204/253] Linking target sklearn/_loss/_loss.cpython-314-x86_64-linux-gnu.so [205/253] Linking target sklearn/metrics/_pairwise_distances_reduction/_base.cpython-314-x86_64-linux-gnu.so [206/253] Linking target sklearn/metrics/_pairwise_distances_reduction/_middle_term_computer.cpython-314-x86_64-linux-gnu.so [207/253] Linking target sklearn/metrics/_dist_metrics.cpython-314-x86_64-linux-gnu.so 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/builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/scikit_learn-1.8.0rc1/sklearn/utils/tests/test_validation.py [953/953] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/scikit_learn-1.8.0rc1/sklearn/utils/tests/test_weight_vector.py Preparing metadata (pyproject.toml): finished with status 'done' Building wheels for collected packages: scikit-learn Building wheel for scikit-learn (pyproject.toml): started Running command Building wheel for scikit-learn (pyproject.toml) Building wheel for scikit-learn (pyproject.toml): finished with status 'done' Created wheel for scikit-learn: filename=scikit_learn-1.8.0rc1-cp314-cp314-linux_x86_64.whl size=28235724 sha256=93fd17d3a222790988e39aef4e632c579570005db121a1c81c3fa7655955cca2 Stored in directory: /builddir/.cache/pip/wheels/21/9a/ee/57ebc0e5784352f0e16174a7adf9c46725795d46a82cb7ad5c Successfully built scikit-learn + RPM_EC=0 ++ jobs -p + exit 0 Executing(%install): /bin/sh -e /var/tmp/rpm-tmp.BZqYGp + umask 022 + cd /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build + '[' /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT '!=' / ']' + rm -rf /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT ++ dirname /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT + mkdir -p /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build + mkdir /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT + CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CFLAGS + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CXXFLAGS + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FFLAGS + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FCFLAGS + VALAFLAGS=-g + export VALAFLAGS + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + export RUSTFLAGS + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-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-1.8.0rc1 ++ ls /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/pyproject-wheeldir/scikit_learn-1.8.0rc1-cp314-cp314-linux_x86_64.whl ++ xargs basename --multiple ++ sed -E 's/([^-]+)-([^-]+)-.+\.whl/\1==\2/' + specifier=scikit_learn==1.8.0rc1 + '[' -z scikit_learn==1.8.0rc1 ']' + TMPDIR=/builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/.pyproject-builddir + /usr/bin/python3 -m pip install --root /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-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-1.8.0_rc1-build/pyproject-wheeldir scikit_learn==1.8.0rc1 Using pip 25.3 from /usr/lib/python3.14/site-packages/pip (python 3.14) Looking in links: /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/pyproject-wheeldir Processing /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/pyproject-wheeldir/scikit_learn-1.8.0rc1-cp314-cp314-linux_x86_64.whl Installing collected packages: scikit_learn Successfully installed scikit_learn-1.8.0rc1 + '[' -d /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/bin ']' + rm -f /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/python-scikit-learn-1.8.0~rc1-1.fc44.x86_64-pyproject-ghost-distinfo + site_dirs=() + '[' -d /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib/python3.14/site-packages ']' + '[' /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages '!=' /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib/python3.14/site-packages ']' + '[' -d /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages ']' + site_dirs+=("/usr/lib64/python3.14/site-packages") + for site_dir in ${site_dirs[@]} + for distinfo in /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT$site_dir/*.dist-info + echo '%ghost %dir /usr/lib64/python3.14/site-packages/scikit_learn-1.8.0rc1.dist-info' + sed -i s/pip/rpm/ /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/scikit_learn-1.8.0rc1.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-1.8.0_rc1-build/BUILDROOT --record /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/scikit_learn-1.8.0rc1.dist-info/RECORD --output /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/python-scikit-learn-1.8.0~rc1-1.fc44.x86_64-pyproject-record + rm -fv /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/scikit_learn-1.8.0rc1.dist-info/RECORD removed '/builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/scikit_learn-1.8.0rc1.dist-info/RECORD' + rm -fv /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/scikit_learn-1.8.0rc1.dist-info/REQUESTED removed '/builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/scikit_learn-1.8.0rc1.dist-info/REQUESTED' ++ wc -l /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/python-scikit-learn-1.8.0~rc1-1.fc44.x86_64-pyproject-ghost-distinfo ++ cut -f1 '-d ' + lines=1 + '[' 1 -ne 1 ']' + RPM_FILES_ESCAPE=4.19 + /usr/bin/python3 /usr/lib/rpm/redhat/pyproject_save_files.py --output-files /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/python-scikit-learn-1.8.0~rc1-1.fc44.x86_64-pyproject-files --output-modules /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/python-scikit-learn-1.8.0~rc1-1.fc44.x86_64-pyproject-modules --buildroot /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-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-1.8.0_rc1-build/python-scikit-learn-1.8.0~rc1-1.fc44.x86_64-pyproject-record --prefix /usr sklearn + /usr/bin/find-debuginfo -j4 --strict-build-id -m -i --build-id-seed 1.8.0~rc1-1.fc44 --unique-debug-suffix -1.8.0~rc1-1.fc44.x86_64 --unique-debug-src-base python-scikit-learn-1.8.0~rc1-1.fc44.x86_64 --run-dwz --dwz-low-mem-die-limit 10000000 --dwz-max-die-limit 110000000 -S debugsourcefiles.list /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/scikit_learn-1.8.0rc1 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-3hwhxdf7/sklearn/utils/_vector_sentinel.cpython-314-x86_64-linux-gnu.so.p/_vector_sentinel.cpp: Cannot stat: No such file or directory cpio: .mesonpy-3hwhxdf7/sklearn/utils/_weight_vector.cpython-314-x86_64-linux-gnu.so.p/_weight_vector.c: Cannot stat: No such file or directory cpio: .mesonpy-3hwhxdf7/sklearn/utils/arrayfuncs.cpython-314-x86_64-linux-gnu.so.p/arrayfuncs.c: Cannot stat: No such file or directory cpio: .mesonpy-3hwhxdf7/sklearn/utils/murmurhash.cpython-314-x86_64-linux-gnu.so.p/murmurhash.c: Cannot stat: No such file or directory cpio: .mesonpy-3hwhxdf7/sklearn/utils/sparsefuncs_fast.cpython-314-x86_64-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 + COMPRESS='gzip -9 -n' + COMPRESS_EXT=.gz + /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 -j4 Bytecompiling .py files below /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib/debug/usr/lib64/python3.14 using python3.14 Bytecompiling .py files below /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14 using python3.14 + /usr/lib/rpm/redhat/brp-python-hardlink + /usr/bin/add-det --brp -j4 /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/__pycache__/random_projection.cpython-314.opt-1.pyc: rewriting with normalized contents /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/__pycache__/multioutput.cpython-314.opt-1.pyc: rewriting with normalized contents /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/__pycache__/kernel_ridge.cpython-314.opt-1.pyc: rewriting with normalized contents /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/__pycache__/naive_bayes.cpython-314.opt-1.pyc: rewriting with normalized contents /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/__pycache__/multiclass.cpython-314.opt-1.pyc: rewriting with normalized contents /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/__pycache__/isotonic.cpython-314.opt-1.pyc: rewriting with normalized contents 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Scanned 270 directories and 2290 files, processed 965 inodes, 883 modified (518 replaced + 365 rewritten), 0 unsupported format, 0 errors + /usr/bin/linkdupes --brp /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr Scanned 269 directories and 2290 files, considered 2290 files, read 222 files, linked 66 files, 0 errors sum of sizes of linked files: 938 bytes Reading /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/SPECPARTS/rpm-debuginfo.specpart Executing(%check): /bin/sh -e /var/tmp/rpm-tmp.oKWt7d + umask 022 + cd /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build + CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CFLAGS + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CXXFLAGS + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FFLAGS + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FCFLAGS + VALAFLAGS=-g + export VALAFLAGS + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + export RUSTFLAGS ~/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages ~/build/BUILD/python-scikit-learn-1.8.0_rc1-build/scikit_learn-1.8.0rc1 + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-hardened-ld-errors -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes ' + export LDFLAGS + LT_SYS_LIBRARY_PATH=/usr/lib64: + export LT_SYS_LIBRARY_PATH + CC=gcc + export CC + CXX=g++ + export CXX + cd scikit_learn-1.8.0rc1 + export PYTHONDONTWRITEBYTECODE=1 + PYTHONDONTWRITEBYTECODE=1 + export 'PYTEST_ADDOPTS=-p no:cacheprovider' + PYTEST_ADDOPTS='-p no:cacheprovider' + pushd /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages + pytest sklearn ============================= test session starts ============================== platform linux -- Python 3.14.2, pytest-8.4.2, pluggy-1.6.0 rootdir: 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[100%] =============================== warnings summary =============================== sklearn/utils/_test_common/instance_generator.py:804 sklearn/utils/_test_common/instance_generator.py:804 sklearn/utils/_test_common/instance_generator.py:804 sklearn/utils/_test_common/instance_generator.py:804 sklearn/utils/_test_common/instance_generator.py:804 sklearn/utils/_test_common/instance_generator.py:804 sklearn/utils/_test_common/instance_generator.py:804 /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/_test_common/instance_generator.py:804: SkipTestWarning: Can't instantiate estimator FrozenEstimator warnings.warn(msg, SkipTestWarning) sklearn/utils/deprecation.py:71: 6 warnings sklearn/linear_model/tests/test_common.py: 2 warnings sklearn/linear_model/tests/test_passive_aggressive.py: 2 warnings sklearn/tests/test_common.py: 1 warning /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/deprecation.py:71: FutureWarning: Class PassiveAggressiveClassifier is deprecated; this is deprecated in version 1.8 and will be removed in 1.10. Use `SGDClassifier(loss='hinge', penalty=None, learning_rate='pa1', eta0=1.0)` instead. warnings.warn(msg, category=FutureWarning) sklearn/utils/deprecation.py:71: 6 warnings sklearn/linear_model/tests/test_common.py: 2 warnings sklearn/linear_model/tests/test_passive_aggressive.py: 2 warnings sklearn/tests/test_common.py: 1 warning /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/deprecation.py:71: FutureWarning: Class PassiveAggressiveRegressor is deprecated; this is deprecated in version 1.8 and will be removed in 1.10. Use `SGDRegressor(loss='epsilon_insensitive', penalty=None, learning_rate='pa1', eta0 = 1.0)` instead. warnings.warn(msg, category=FutureWarning) sklearn/utils/estimator_checks.py:365 /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/estimator_checks.py:365: SkipTestWarning: Explicit SKIP via _skip_test tag for estimator ClassifierChain. warnings.warn( sklearn/utils/estimator_checks.py:357 /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/estimator_checks.py:357: 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:357 /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/estimator_checks.py:357: 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:357 /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/estimator_checks.py:357: 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:357 /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/estimator_checks.py:357: 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:357 /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/estimator_checks.py:357: 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:357 /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/estimator_checks.py:357: 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:357 /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/estimator_checks.py:357: 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:357 /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/estimator_checks.py:357: 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:365 /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/estimator_checks.py:365: SkipTestWarning: Explicit SKIP via _skip_test tag for estimator MultiOutputClassifier. warnings.warn( sklearn/utils/estimator_checks.py:357 /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/estimator_checks.py:357: 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:357 /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/estimator_checks.py:357: 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-1.8.0_rc1-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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/cluster/_affinity_propagation.py:50: UserWarning: All samples have mutually equal similarities. Returning arbitrary cluster center(s). warnings.warn( sklearn/cluster/tests/test_bicluster.py::test_n_features_in_[est0] sklearn/cluster/tests/test_bicluster.py::test_n_features_in_[est0] sklearn/preprocessing/tests/test_discretization.py::test_redundant_bins[kmeans-expected_bin_edges1-warn] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/base.py:1336: ConvergenceWarning: Number of distinct clusters (2) found smaller than n_clusters (3). Possibly due to duplicate points in X. return fit_method(estimator, *args, **kwargs) sklearn/cluster/tests/test_birch.py::test_birch_predict[float64-42] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/cluster/_birch.py:711: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/neighbors/_base.py:241: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/cluster/_hdbscan/hdbscan.py:270: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/cluster/_agglomerative.py:594: UserWarning: the number of connected components of the connectivity matrix is 2 > 1. Completing it to avoid stopping the tree early. connectivity, n_connected_components = _fix_connectivity( sklearn/cluster/tests/test_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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/manifold/_spectral_embedding.py:324: 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-1.8.0_rc1-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: 20 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/covariance/_empirical_covariance.py:100: 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[42] /usr/lib64/python3.14/site-packages/numpy/_core/_methods.py:190: RuntimeWarning: invalid value encountered in subtract x = asanyarray(arr - arrmean) sklearn/covariance/tests/test_robust_covariance.py::test_mcd[42] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/covariance/_robust_covariance.py:188: RuntimeWarning: Determinant has increased; this should not happen: log(det) > log(previous_det) (-55.472832179438939 > -57.423196678843624). You may want to try with a higher value of support_fraction (current value: 1.000). warnings.warn( sklearn/covariance/tests/test_robust_covariance.py::test_mcd[42] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/covariance/_robust_covariance.py:188: RuntimeWarning: Determinant has increased; this should not happen: log(det) > log(previous_det) (-55.261311467952567 > -56.335055690042758). You may want to try with a higher value of support_fraction (current value: 1.000). warnings.warn( sklearn/covariance/tests/test_robust_covariance.py::test_mcd[42] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/covariance/_robust_covariance.py:188: RuntimeWarning: Determinant has increased; this should not happen: log(det) > log(previous_det) (-55.446514871121551 > -56.118247957177587). You may want to try with a higher value of support_fraction (current value: 1.000). warnings.warn( sklearn/covariance/tests/test_robust_covariance.py::test_mcd[42] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/covariance/_robust_covariance.py:188: RuntimeWarning: Determinant has increased; this should not happen: log(det) > log(previous_det) (-54.825147372955691 > -56.283762395655117). You may want to try with a higher value of support_fraction (current value: 1.000). warnings.warn( sklearn/covariance/tests/test_robust_covariance.py::test_mcd[42] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/covariance/_robust_covariance.py:188: RuntimeWarning: Determinant has increased; this should not happen: log(det) > log(previous_det) (-54.606665834747332 > -56.778058717469918). You may want to try with a higher value of support_fraction (current value: 1.000). warnings.warn( sklearn/covariance/tests/test_robust_covariance.py::test_mcd[42] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/covariance/_robust_covariance.py:188: RuntimeWarning: Determinant has increased; this should not happen: log(det) > log(previous_det) (-55.991092781692252 > -56.126758646845602). You may want to try with a higher value of support_fraction (current value: 1.000). warnings.warn( sklearn/covariance/tests/test_robust_covariance.py::test_mcd[42] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/covariance/_robust_covariance.py:188: RuntimeWarning: Determinant has increased; this should not happen: log(det) > log(previous_det) (-54.940897592462704 > -55.383601045710762). You may want to try with a higher value of support_fraction (current value: 1.000). warnings.warn( sklearn/covariance/tests/test_robust_covariance.py::test_mcd[42] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/covariance/_robust_covariance.py:188: RuntimeWarning: Determinant has increased; this should not happen: log(det) > log(previous_det) (-55.185150106986924 > -55.580664884242275). You may want to try with a higher value of support_fraction (current value: 1.000). warnings.warn( sklearn/covariance/tests/test_robust_covariance.py::test_mcd[42] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/covariance/_robust_covariance.py:188: RuntimeWarning: Determinant has increased; this should not happen: log(det) > log(previous_det) (-56.084911536909971 > -56.206801354519250). You may want to try with a higher value of support_fraction (current value: 1.000). warnings.warn( sklearn/covariance/tests/test_robust_covariance.py::test_mcd[42] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/covariance/_robust_covariance.py:188: RuntimeWarning: Determinant has increased; this should not happen: log(det) > log(previous_det) (-54.742603323974386 > -56.234972231485642). You may want to try with a higher value of support_fraction (current value: 1.000). warnings.warn( sklearn/covariance/tests/test_robust_covariance.py::test_mcd[42] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/covariance/_robust_covariance.py:188: RuntimeWarning: Determinant has increased; this should not happen: log(det) > log(previous_det) (-54.930507888613569 > -55.305436272861598). You may want to try with a higher value of support_fraction (current value: 1.000). warnings.warn( sklearn/covariance/tests/test_robust_covariance.py::test_mcd[42] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/covariance/_robust_covariance.py:188: RuntimeWarning: Determinant has increased; this should not happen: log(det) > log(previous_det) (-55.158832798669700 > -55.575726602601591). You may want to try with a higher value of support_fraction (current value: 1.000). warnings.warn( sklearn/covariance/tests/test_robust_covariance.py::test_mcd[42] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/covariance/_robust_covariance.py:188: RuntimeWarning: Determinant has increased; this should not happen: log(det) > log(previous_det) (-55.355543092915774 > -56.293812731508794). You may want to try with a higher value of support_fraction (current value: 1.000). warnings.warn( sklearn/covariance/tests/test_robust_covariance.py::test_mcd[42] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/covariance/_robust_covariance.py:188: RuntimeWarning: Determinant has increased; this should not happen: log(det) > log(previous_det) (-55.215609314471720 > -55.826337548616408). You may want to try with a higher value of support_fraction (current value: 1.000). warnings.warn( sklearn/covariance/tests/test_robust_covariance.py::test_mcd_issue3367[42] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/covariance/_robust_covariance.py:793: UserWarning: The covariance matrix associated to your dataset is not full rank warnings.warn( sklearn/datasets/tests/test_base.py::test_load_sample_images /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/datasets/tests/test_base.py:242: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/datasets/tests/test_base.py:251: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/datasets/_openml.py:1035: 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-1.8.0_rc1-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_dict_learning.py::test_dict_learning_online_shapes /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.393e-05, tolerance: 1.246e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py: 22 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.384e-07, tolerance: 3.217e-08 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_sparse_encode_dtype_match[float32-lasso_cd] sklearn/decomposition/tests/test_dict_learning.py::test_sparse_encode_numerical_consistency[lasso_cd] sklearn/decomposition/tests/test_dict_learning.py::test_sparse_coder_dtype_match[float32-lasso_cd] sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_lars-cd] sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd] sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lars-cd] sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-threshold-cd] sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-omp-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.172e-07, tolerance: 1.198e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_sparse_encode_dtype_match[float32-lasso_cd] sklearn/decomposition/tests/test_dict_learning.py::test_sparse_encode_numerical_consistency[lasso_cd] sklearn/decomposition/tests/test_dict_learning.py::test_sparse_coder_dtype_match[float32-lasso_cd] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.364e-07, tolerance: 8.058e-08 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py: 24 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.384e-07, tolerance: 4.647e-08 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_lars-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lars-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-threshold-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-omp-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_dtype_match[float32-float32-cd] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.669e-06, tolerance: 1.462e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py: 12 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.192e-07, tolerance: 3.217e-08 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py: 21 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.768e-07, tolerance: 8.058e-08 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py: 15 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.537e-07, tolerance: 1.246e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py: 44 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.192e-07, tolerance: 4.853e-08 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py: 10 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.384e-07, tolerance: 4.439e-08 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py: 20 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.384e-07, tolerance: 1.198e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py: 15 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 7.153e-07, tolerance: 1.246e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py: 14 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.192e-06, tolerance: 1.246e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py: 33 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.384e-07, tolerance: 1.134e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py: 30 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.576e-07, tolerance: 4.439e-08 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py: 20 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.537e-07, tolerance: 1.462e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_lars-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lars-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-threshold-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-omp-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_dtype_match[float32-float32-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_numerical_consistency[cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.768e-07, tolerance: 1.462e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py: 10 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.768e-07, tolerance: 1.198e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py: 13 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.384e-07, tolerance: 8.058e-08 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py: 13 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.192e-07, tolerance: 4.647e-08 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py: 13 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 7.153e-07, tolerance: 1.198e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py: 22 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.384e-07, tolerance: 5.441e-08 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py: 10 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 7.153e-07, tolerance: 1.462e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[float32-float32-lasso_cd-lars] sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_cd-lars] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.384e-07, tolerance: 4.853e-08 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[int32-float64-lasso_cd-lars] sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[int32-float64-lasso_cd-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[int64-float64-lasso_cd-lars] sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[int64-float64-lasso_cd-cd] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 7.902e-05, tolerance: 6.000e-08 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[int32-float64-lasso_cd-lars] sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[int32-float64-lasso_cd-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[int64-float64-lasso_cd-lars] sklearn/decomposition/tests/test_dict_learning.py::test_dictionary_learning_dtype_match[int64-float64-lasso_cd-cd] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.802e-04, tolerance: 5.000e-08 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_lars-cd] sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd] sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lars-cd] sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-threshold-cd] sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-omp-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.768e-07, tolerance: 4.439e-08 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_lars-cd] sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd] sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lars-cd] sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-threshold-cd] sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-omp-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.788e-07, tolerance: 1.246e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_lars-cd] sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd] sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lars-cd] sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-threshold-cd] sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-omp-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 8.345e-07, tolerance: 1.134e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_lars-cd] sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd] sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lars-cd] sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-threshold-cd] sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-omp-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.768e-07, tolerance: 4.647e-08 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_cd-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.384e-07, tolerance: 1.246e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_numerical_consistency[cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.537e-07, tolerance: 1.198e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_numerical_consistency[cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.537e-07, tolerance: 8.058e-08 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.768e-07, tolerance: 1.246e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.384e-07, tolerance: 1.462e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.431e-06, tolerance: 1.246e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.768e-07, tolerance: 1.134e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.192e-06, tolerance: 1.462e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.576e-07, tolerance: 4.647e-08 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 7.153e-07, tolerance: 1.134e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.768e-07, tolerance: 5.441e-08 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.537e-07, tolerance: 1.134e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.431e-06, tolerance: 1.462e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.192e-06, tolerance: 1.198e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_dtype_match[float32-float32-cd] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.576e-07, tolerance: 4.853e-08 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.907e-06, tolerance: 1.462e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.980e-07, tolerance: 5.441e-08 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.960e-07, tolerance: 1.246e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 5.960e-07, tolerance: 1.134e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.192e-07, tolerance: 4.439e-08 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.192e-06, tolerance: 1.134e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.431e-06, tolerance: 1.198e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_kernel_pca.py: 28 warnings sklearn/linear_model/tests/test_passive_aggressive.py: 2 warnings sklearn/tests/test_calibration.py: 5 warnings sklearn/tests/test_multioutput.py: 39 warnings sklearn/utils/tests/test_estimator_checks.py: 1 warning /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_stochastic_gradient.py:733: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/decomposition/_nmf.py:1720: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/decomposition/_nmf.py:2306: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/decomposition/_nmf.py:1720: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/decomposition/_nmf.py:1573: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/decomposition/_nmf.py:1720: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/decomposition/_nmf.py:170: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/decomposition/_lda.py:921: RuntimeWarning: invalid value encountered in scalar divide perword_bound = bound / word_cnt sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.338e-06, tolerance: 2.111e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.537e-07, tolerance: 9.191e-08 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.384e-07, tolerance: 1.228e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_sparse_pca.py: 10 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.768e-07, tolerance: 9.191e-08 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.537e-07, tolerance: 2.711e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-MiniBatchSparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.537e-07, tolerance: 1.184e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.768e-07, tolerance: 2.711e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.537e-07, tolerance: 1.138e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.537e-07, tolerance: 2.111e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_sparse_pca.py: 10 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.384e-07, tolerance: 9.191e-08 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-MiniBatchSparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.768e-07, tolerance: 1.228e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.768e-07, tolerance: 2.111e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-MiniBatchSparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-MiniBatchSparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.907e-06, tolerance: 2.711e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-MiniBatchSparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 7.153e-07, tolerance: 1.228e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_sparse_pca.py: 16 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.768e-07, tolerance: 1.138e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-MiniBatchSparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.537e-07, tolerance: 1.175e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.384e-07, tolerance: 1.060e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.768e-07, tolerance: 1.184e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 7.153e-07, tolerance: 2.711e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 7.153e-07, tolerance: 9.191e-08 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.384e-07, tolerance: 1.138e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.431e-06, tolerance: 2.711e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.768e-07, tolerance: 1.060e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 9.537e-07, tolerance: 1.228e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 2.861e-06, tolerance: 2.711e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 3.338e-06, tolerance: 2.711e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 7.153e-07, tolerance: 2.111e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-MiniBatchSparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.907e-06, tolerance: 2.111e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 1.669e-06, tolerance: 2.111e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-MiniBatchSparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 7.153e-07, tolerance: 1.138e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_sparse_pca.py::test_sparse_pca_dtype_match[float32-float32-cd-MiniBatchSparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations, check the scale of the features or consider increasing regularisation. Duality gap: 4.768e-07, tolerance: 6.145e-08 model = cd_fast.enet_coordinate_descent_gram( sklearn/ensemble/tests/test_bagging.py: 33 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/ensemble/_bagging.py:1131: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/ensemble/_bagging.py:933: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/ensemble/_bagging.py:927: UserWarning: Some inputs do not have OOB scores. This probably means too few estimators were used to compute any reliable oob estimates. warn( sklearn/ensemble/tests/test_bagging.py::test_bagging_regressor_with_missing_inputs sklearn/ensemble/tests/test_bagging.py::test_bagging_regressor_with_missing_inputs sklearn/tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[None] sklearn/tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[None] sklearn/tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[csc_matrix] sklearn/tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[csc_array] /usr/lib64/python3.14/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_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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/tree/_classes.py:1092: RuntimeWarning: divide by zero encountered in log return np.log(proba) sklearn/ensemble/tests/test_common.py: 10 warnings sklearn/linear_model/tests/test_logistic.py: 2 warnings sklearn/model_selection/tests/test_validation.py: 63 warnings sklearn/tests/test_multioutput.py: 1 warning sklearn/tests/test_pipeline.py: 6 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_logistic.py:406: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/ensemble/_forest.py:860: UserWarning: class_weight presets "balanced" or "balanced_subsample" are not recommended for warm_start if the fitted data differs from the full dataset. In order to use "balanced" weights, use compute_class_weight ("balanced", classes, y). In place of y you can use a large enough sample of the full training set target to properly estimate the class frequency distributions. Pass the resulting weights as the class_weight parameter. warn( sklearn/ensemble/tests/test_forest.py::test_mse_criterion_object_segfault_smoke_test[ExtraTreesRegressor] sklearn/ensemble/tests/test_forest.py::test_mse_criterion_object_segfault_smoke_test[RandomForestRegressor] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/base.py:1336: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/neural_network/_multilayer_perceptron.py:785: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/ensemble/_weight_boosting.py:566: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/ensemble/_weight_boosting.py:565: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/model_selection/_split.py:813: 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_callable_analyzer_error[filename-FileNotFoundError--CountVectorizer] sklearn/feature_extraction/tests/test_text.py::test_callable_analyzer_error[filename-FileNotFoundError--TfidfVectorizer] sklearn/feature_extraction/tests/test_text.py::test_callable_analyzer_error[filename-FileNotFoundError--HashingVectorizer] sklearn/utils/tests/test_testing.py::test_turn_warnings_into_errors[warning_info0] sklearn/utils/tests/test_testing.py::test_turn_warnings_into_errors[warning_info1] sklearn/utils/tests/test_testing.py::test_turn_warnings_into_errors[warning_info2] /usr/lib/python3.14/site-packages/_pytest/raises.py:624: PytestWarning: matching against an empty string will *always* pass. If you want to check for an empty message you need to pass '^$'. If you don't want to match you should pass `None` or leave out the parameter. super().__init__(match=match, check=check) 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/feature_extraction/text.py:556: 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-1.8.0_rc1-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-1.8.0_rc1-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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/feature_selection/_base.py:122: UserWarning: No features were selected: either the data is too noisy or the selection test too strict. warnings.warn( sklearn/feature_selection/tests/test_rfe.py: 49 warnings sklearn/model_selection/tests/test_search.py: 30 warnings sklearn/svm/tests/test_svm.py: 16 warnings sklearn/tests/test_calibration.py: 12 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/svm/_base.py:1258: 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-1.8.0_rc1-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-1.8.0_rc1-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-1.8.0_rc1-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-1.8.0_rc1-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-1.8.0_rc1-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: 25 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-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: 14 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/gaussian_process/kernels.py:440: ConvergenceWarning: The optimal value found for dimension 0 of parameter k1__k2__length_scale is close to the specified lower bound 0.001. Decreasing the bound and calling fit again may find a better value. warnings.warn( sklearn/gaussian_process/tests/test_gpr.py::test_random_starts /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-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-1.8.0_rc1-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-1.8.0_rc1-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-1.8.0_rc1-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-1.8.0_rc1-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-1.8.0_rc1-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-1.8.0_rc1-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-1.8.0_rc1-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/impute/tests/test_common.py: 16 warnings sklearn/impute/tests/test_impute.py: 1 warning /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/impute/_base.py:641: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/impute/_base.py:641: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/impute/_iterative.py:867: ConvergenceWarning: [IterativeImputer] Early stopping criterion not reached. warnings.warn( sklearn/impute/tests/test_impute.py: 11 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/impute/_base.py:641: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/impute/_base.py:641: 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: 10 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/impute/_base.py:641: UserWarning: Skipping features without any observed values: [3]. At least one non-missing value is needed for imputation with strategy='constant'. 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/impute/_base.py:641: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/impute/_base.py:641: 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_impute.py::test_iterative_imputer_with_empty_features[X_test0-constant] sklearn/impute/tests/test_impute.py::test_iterative_imputer_with_empty_features[X_test0-constant] sklearn/impute/tests/test_impute.py::test_iterative_imputer_with_empty_features[X_test1-constant] sklearn/impute/tests/test_impute.py::test_iterative_imputer_with_empty_features[X_test1-constant] sklearn/impute/tests/test_impute.py::test_iterative_imputer_with_empty_features[X_test2-constant] sklearn/impute/tests/test_impute.py::test_iterative_imputer_with_empty_features[X_test2-constant] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/impute/_base.py:641: UserWarning: Skipping features without any observed values: [0]. At least one non-missing value is needed for imputation with strategy='constant'. 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-1.8.0_rc1-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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_stochastic_gradient.py:1612: 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_logistic.py::test_lr_penalty_l1ratio_incompatible[l1-0.0] 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-1.8.0_rc1-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_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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/base.py:1336: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:2756: 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-1.8.0_rc1-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_logistic.py: 22 warnings sklearn/tests/test_calibration.py: 6 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_logistic.py:1170: UserWarning: Setting penalty=None will ignore the C and l1_ratio parameters warnings.warn( sklearn/linear_model/tests/test_logistic.py::test_elastic_net_l1_l2_equivalence[42-l1-1-0.001] sklearn/linear_model/tests/test_logistic.py::test_elastic_net_l1_l2_equivalence[42-l1-1-0.1] sklearn/linear_model/tests/test_logistic.py::test_elastic_net_l1_l2_equivalence[42-l1-1-1] sklearn/linear_model/tests/test_logistic.py::test_elastic_net_l1_l2_equivalence[42-l1-1-10] sklearn/linear_model/tests/test_logistic.py::test_elastic_net_l1_l2_equivalence[42-l1-1-100] sklearn/linear_model/tests/test_logistic.py::test_elastic_net_l1_l2_equivalence[42-l1-1-1000] sklearn/linear_model/tests/test_logistic.py::test_elastic_net_l1_l2_equivalence[42-l1-1-1000000.0] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_logistic.py:1160: UserWarning: Inconsistent values: penalty=l1 with l1_ratio=0.0. penalty is deprecated. Please use l1_ratio only. warnings.warn( sklearn/linear_model/tests/test_logistic.py::test_l1_ratio_non_elasticnet /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_logistic.py:1160: UserWarning: Inconsistent values: penalty=l1 with l1_ratio=0.5. penalty is deprecated. Please use l1_ratio only. warnings.warn( 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-1.8.0_rc1-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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_huber.py:348: ConvergenceWarning: lbfgs failed to converge after 100 iteration(s) (status=1): STOP: TOTAL NO. OF ITERATIONS REACHED LIMIT Increase the number of iterations to improve the convergence (max_iter=100). You might also want to scale the data as shown in: https://scikit-learn.org/stable/modules/preprocessing.html self.n_iter_ = _check_optimize_result("lbfgs", opt_res, self.max_iter) sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized[wide-42-True-cholesky] sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_hstacked_X[wide-42-True-cholesky] /usr/lib64/python3.14/site-packages/scipy/_lib/_util.py:1233: LinAlgWarning: Ill-conditioned matrix (rcond=3.98386e-17): result may not be accurate. return f(*arrays, *other_args, **kwargs) 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_ridge.py:268: UserWarning: Singular matrix in solving dual problem. Using least-squares solution instead. warnings.warn( sklearn/linear_model/tests/test_ridge.py::test_ridge_classifier_with_scoring[None-cv1-_accuracy_callable] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/model_selection/_search.py:883: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/model_selection/_search.py:883: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/model_selection/_search.py:883: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/model_selection/_search.py:883: 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] /usr/lib64/python3.14/site-packages/scipy/_lib/_util.py:1233: LinAlgWarning: Ill-conditioned matrix (rcond=5.74507e-17): result may not be accurate. return f(*arrays, *other_args, **kwargs) sklearn/linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeCV-3] /usr/lib64/python3.14/site-packages/scipy/_lib/_util.py:1233: LinAlgWarning: Ill-conditioned matrix (rcond=5.49293e-17): result may not be accurate. return f(*arrays, *other_args, **kwargs) sklearn/linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeCV-3] /usr/lib64/python3.14/site-packages/scipy/_lib/_util.py:1233: LinAlgWarning: Ill-conditioned matrix (rcond=3.15218e-17): result may not be accurate. return f(*arrays, *other_args, **kwargs) sklearn/linear_model/tests/test_ridge.py: 57 warnings sklearn/model_selection/tests/test_search.py: 10 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/metrics/_regression.py:1288: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/model_selection/_search.py:1137: 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] /usr/lib64/python3.14/site-packages/scipy/_lib/_util.py:1233: LinAlgWarning: Ill-conditioned matrix (rcond=4.53866e-18): result may not be accurate. return f(*arrays, *other_args, **kwargs) 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/model_selection/_split.py:813: 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] /usr/lib64/python3.14/site-packages/scipy/_lib/_util.py:1233: LinAlgWarning: Ill-conditioned matrix (rcond=7.76968e-17): result may not be accurate. return f(*arrays, *other_args, **kwargs) sklearn/linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeClassifierCV-3] /usr/lib64/python3.14/site-packages/scipy/_lib/_util.py:1233: LinAlgWarning: Ill-conditioned matrix (rcond=2.38404e-17): result may not be accurate. return f(*arrays, *other_args, **kwargs) sklearn/linear_model/tests/test_sgd.py::test_sgd_oneclass_convergence sklearn/linear_model/tests/test_sgd.py::test_sgd_oneclass_convergence sklearn/linear_model/tests/test_sgd.py::test_sgd_oneclass_convergence /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_stochastic_gradient.py:2545: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit. warnings.warn( sklearn/manifold/tests/test_isomap.py::test_transform[float64-2-None] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-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-1.8.0_rc1-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-1.8.0_rc1-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/manifold/tests/test_mds.py::test_classical_mds_init_to_mds sklearn/manifold/tests/test_mds.py::test_classical_mds_init_to_mds /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/manifold/_mds.py:383: UserWarning: Explicit initial positions passed: performing only one init of the MDS instead of 4 warnings.warn( 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/metrics/_classification.py:1847: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/metrics/_classification.py:1847: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/metrics/_classification.py:1847: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/metrics/_classification.py:2453: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/metrics/_classification.py:2473: 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-1.8.0_rc1-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-1.8.0_rc1-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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/metrics/_classification.py:634: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/metrics/_classification.py:207: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/metrics/_classification.py:2938: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/metrics/_classification.py:1900: 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 /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/metrics/_classification.py:207: 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_classification.py::test_d2_brier_score_with_labels sklearn/metrics/tests/test_classification.py::test_d2_brier_score_with_labels /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/metrics/_classification.py:207: UserWarning: Labels passed were [2, 0, 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-1.8.0_rc1-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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/metrics/_ranking.py:2153: 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: 75 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/metrics/_classification.py:1847: 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_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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/metrics/_classification.py:1847: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/metrics/_classification.py:1847: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/metrics/_classification.py:1847: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/metrics/_classification.py:1847: 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: 76 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/metrics/_classification.py:1847: 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_common.py: 28 warnings sklearn/metrics/tests/test_score_objects.py: 4 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/metrics/_classification.py:1847: 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: 25 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/metrics/_classification.py:1847: 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_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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/metrics/_classification.py:1847: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/metrics/_ranking.py:1131: 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-1.8.0_rc1-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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/metrics/_regression.py:949: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/metrics/_regression.py:949: 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-1.8.0_rc1-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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/base.py:1336: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/mixture/_base.py:293: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/model_selection/_search.py:324: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/model_selection/_search.py:324: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/model_selection/_search.py:324: UserWarning: The total space of parameters 3 is smaller than n_iter=30. Running 3 iterations. For exhaustive searches, use GridSearchCV. warnings.warn( sklearn/model_selection/tests/test_search.py: 10 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/model_selection/_validation.py:927: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/model_selection/_validation.py", line 916, 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/model_selection/_search.py:1137: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/model_selection/_search.py:1137: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_stochastic_gradient.py:1419: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/model_selection/_search.py:324: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/model_selection/_split.py:813: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/model_selection/_split.py:813: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/model_selection/_split.py:813: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/model_selection/_split.py:1037: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/model_selection/_split.py:1037: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/model_selection/_split.py:1037: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/model_selection/_search.py:324: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/model_selection/_search.py:324: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/model_selection/_search.py:324: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/model_selection/_split.py:885: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/model_selection/_validation.py:1352: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/model_selection/_validation.py:1352: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/model_selection/_split.py:813: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/model_selection/_validation.py:1352: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/model_selection/_validation.py:1352: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/model_selection/_validation.py:927: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/model_selection/_validation.py", line 916, 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/neighbors/_lof.py:285: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/neighbors/_lof.py:285: 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] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/neighbors/_lof.py:285: UserWarning: n_neighbors (20) is greater than the total number of samples (15). n_neighbors will be set to (n_samples - 1) for estimation. warnings.warn( sklearn/neighbors/tests/test_lof.py::test_novelty_true_common_tests[LocalOutlierFactor(novelty=True)-check_estimators_nan_inf] sklearn/neighbors/tests/test_lof.py::test_novelty_true_common_tests[LocalOutlierFactor(novelty=True)-check_estimators_nan_inf] /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/neighbors/_lof.py:285: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/neighbors/_lof.py:285: 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-1.8.0_rc1-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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/neighbors/_nearest_centroid.py:241: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/neighbors/_classification.py:878: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/neighbors/_base.py:591: 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-1.8.0_rc1-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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/metrics/pairwise.py:2459: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/neighbors/_classification.py:868: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/metrics/pairwise.py:2459: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/metrics/pairwise.py:2459: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/metrics/pairwise.py:2459: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/metrics/pairwise.py:2459: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/metrics/pairwise.py:2459: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/metrics/pairwise.py:2459: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/neighbors/_base.py:661: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/manifold/_spectral_embedding.py:305: 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:76: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/extmath.py:1207: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/extmath.py:1212: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/extmath.py:1236: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/preprocessing/_data.py:2885: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/preprocessing/_data.py:2885: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/preprocessing/_data.py:2885: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/preprocessing/_discretization.py:396: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/preprocessing/_discretization.py:396: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/preprocessing/_discretization.py:396: UserWarning: Bins whose width are too small (i.e., <= 1e-8) in feature 3 are removed. Consider decreasing the number of bins. warnings.warn( sklearn/preprocessing/tests/test_discretization.py::test_kbinsdiscretizer_subsample_default sklearn/preprocessing/tests/test_discretization.py::test_kbinsdiscretizer_subsample_default /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/preprocessing/_discretization.py:396: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/preprocessing/_encoders.py:248: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/preprocessing/_encoders.py:248: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/preprocessing/_encoders.py:248: 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[42] /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: 15 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/calibration.py:394: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/model_selection/_validation.py:1352: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/naive_bayes.py:537: RuntimeWarning: divide by zero encountered in log jointi = xp.log(self.class_prior_[i]) sklearn/tests/test_common.py: 16 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-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-1.8.0_rc1-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-1.8.0_rc1-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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/decomposition/_fastica.py:132: 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-1.8.0_rc1-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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/decomposition/_nmf.py:2306: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/kernel_approximation.py:1024: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/preprocessing/_data.py:2885: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/preprocessing/_data.py:2885: 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-1.8.0_rc1-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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:701: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective did 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/linear_model/_coordinate_descent.py:693: ConvergenceWarning: Objective 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/preprocessing/_data.py:2885: 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_metaestimators.py: 1 warning sklearn/tests/test_metaestimators_metadata_routing.py: 30 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/semi_supervised/_self_training.py:244: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/model_selection/_search.py:324: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/model_selection/_search.py:324: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/model_selection/_search.py:324: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/model_selection/_validation.py:927: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/model_selection/_validation.py", line 916, in _score scores = scorer(estimator, X_test, y_test, **score_params) File "/builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/metrics/_scorer.py", line 317, in __call__ return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs) ~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/metrics/_scorer.py", line 408, in _score response_method = _check_response_method(estimator, self._response_method) File "/builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/validation.py", line 2261, 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/model_selection/_validation.py:927: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/model_selection/_validation.py", line 916, in _score scores = scorer(estimator, X_test, y_test, **score_params) File "/builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/metrics/_scorer.py", line 317, in __call__ return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs) ~~~~~~~~~~~^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^ File "/builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/metrics/_scorer.py", line 408, in _score response_method = _check_response_method(estimator, self._response_method) File "/builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/validation.py", line 2261, 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-1.8.0_rc1-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-1.8.0_rc1-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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/naive_bayes.py:655: 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: 16 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/tree/_classes.py:1096: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/_array_api.py:867: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/tree/tests/test_tree.py:1891: RuntimeWarning: overflow encountered in cast data = xpx.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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/estimator_checks.py:875: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/estimator_checks.py:875: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/estimator_checks.py:875: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/estimator_checks.py:875: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/estimator_checks.py:875: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/validation.py:981: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/estimator_checks.py:875: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/estimator_checks.py:875: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/estimator_checks.py:875: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/estimator_checks.py:875: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/estimator_checks.py:875: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/estimator_checks.py:875: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/estimator_checks.py:875: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/estimator_checks.py:875: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/estimator_checks.py:875: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/estimator_checks.py:875: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/estimator_checks.py:875: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/estimator_checks.py:875: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/estimator_checks.py:875: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/estimator_checks.py:875: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/estimator_checks.py:875: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/estimator_checks.py:125: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/estimator_checks.py:125: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/estimator_checks.py:125: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/estimator_checks.py:125: 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-1.8.0_rc1-build/BUILDROOT/usr/lib64/python3.14/site-packages/sklearn/utils/optimize.py:312: UserWarning: Line Search failed warnings.warn("Line Search failed") -- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html = 33064 passed, 8492 skipped, 149 xfailed, 63 xpassed, 4176 warnings in 424.69s (0:07:04) = + popd ~/build/BUILD/python-scikit-learn-1.8.0_rc1-build/scikit_learn-1.8.0rc1 + RPM_EC=0 ++ jobs -p + exit 0 Processing files: python3-scikit-learn-1.8.0~rc1-1.fc44.x86_64 Executing(%doc): /bin/sh -e /var/tmp/rpm-tmp.kUhILB + umask 022 + cd /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build + cd scikit_learn-1.8.0rc1 + DOCDIR=/builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-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-1.8.0_rc1-build/BUILDROOT/usr/share/doc/python3-scikit-learn + cp -pr /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/scikit_learn-1.8.0rc1/examples /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/share/doc/python3-scikit-learn + RPM_EC=0 ++ jobs -p + exit 0 Executing(%license): /bin/sh -e /var/tmp/rpm-tmp.KJeg7u + umask 022 + cd /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build + cd scikit_learn-1.8.0rc1 + LICENSEDIR=/builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-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-1.8.0_rc1-build/BUILDROOT/usr/share/licenses/python3-scikit-learn + cp -pr /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/scikit_learn-1.8.0rc1/COPYING /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/share/licenses/python3-scikit-learn + cp -pr /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/scikit_learn-1.8.0rc1/sklearn/svm/src/liblinear/COPYRIGHT /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT/usr/share/licenses/python3-scikit-learn + RPM_EC=0 ++ jobs -p + exit 0 Provides: python-scikit-learn = 1.8.0~rc1-1.fc44 python-sklearn = 1.8.0~rc1-1.fc44 python3-scikit-learn = 1.8.0~rc1-1.fc44 python3-scikit-learn(x86-64) = 1.8.0~rc1-1.fc44 python3.14-scikit-learn = 1.8.0~rc1-1.fc44 python3.14-sklearn = 1.8.0~rc1-1.fc44 python3.14dist(scikit-learn) = 1.8~rc1 python3dist(scikit-learn) = 1.8~rc1 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 glibc >= 2.42.9000-14 libc.so.6()(64bit) libc.so.6(GLIBC_2.14)(64bit) libc.so.6(GLIBC_2.2.5)(64bit) libc.so.6(GLIBC_2.3.4)(64bit) libc.so.6(GLIBC_2.32)(64bit) libc.so.6(GLIBC_2.4)(64bit) libc.so.6(GLIBC_ABI_DT_RELR)(64bit) libgcc_s.so.1()(64bit) libgcc_s.so.1(GCC_3.0)(64bit) libgcc_s.so.1(GCC_3.3.1)(64bit) libgomp.so.1()(64bit) libgomp.so.1(GOMP_1.0)(64bit) libgomp.so.1(GOMP_4.0)(64bit) libgomp.so.1(OMP_1.0)(64bit) libgomp.so.1(OMP_3.0)(64bit) libm.so.6()(64bit) libm.so.6(GLIBC_2.2.5)(64bit) libm.so.6(GLIBC_2.23)(64bit) libm.so.6(GLIBC_2.27)(64bit) libm.so.6(GLIBC_2.29)(64bit) libm.so.6(GLIBC_2.43)(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) >= 1.3 python3.14dist(numpy) >= 1.24.1 python3.14dist(scipy) >= 1.10 python3.14dist(threadpoolctl) >= 3.2 rtld(GNU_HASH) Obsoletes: python-sklearn < 1.8.0~rc1-1.fc44 python3-scikit_learn < 1.5.2-2 Processing files: python-scikit-learn-debugsource-1.8.0~rc1-1.fc44.x86_64 Provides: python-scikit-learn-debugsource = 1.8.0~rc1-1.fc44 python-scikit-learn-debugsource(x86-64) = 1.8.0~rc1-1.fc44 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-1.8.0~rc1-1.fc44.x86_64 Provides: debuginfo(build-id) = 047cc68fafeb12a7586de9a665d4786a15a1b135 debuginfo(build-id) = 0c173f86f82afe7a82c80eb194947594526830db debuginfo(build-id) = 128faa89dbfc92f6b1cf4db7a566edbef1fab184 debuginfo(build-id) = 13b4933e5f374da3e54428d2df202ee8a3be1732 debuginfo(build-id) = 1b001661cbd59d2a96e5915ba710821af9f1f80f debuginfo(build-id) = 1eff33c1bdd262d86c7cc3440e331a08817c033e debuginfo(build-id) = 29c981f26d94bbbfc93d6fb1ab7d0832546e0193 debuginfo(build-id) = 2a3f937151315b4bd6b44ecb6ca9dc09c9410856 debuginfo(build-id) = 3302a657d81276ceed50b9dbeb89dbabfde20ed8 debuginfo(build-id) = 366ac72171da7aec08aaba99e5a0a82494eb8125 debuginfo(build-id) = 36cc6cc29a201cd6490cfa92814b2b2ef81f20b6 debuginfo(build-id) = 3802fe4dcf9d1c511c490e3dc9cc6a68eecd41a4 debuginfo(build-id) = 3bc72641706b016897b5d6fc1b3865d10fc09e38 debuginfo(build-id) = 3e68e42c97cddbcca6f2da465361f0a6a31dbc59 debuginfo(build-id) = 4c953ab8eb1de014ea524bf6d586f71ef5c66ad1 debuginfo(build-id) = 4d41d135e1b35fb620a36a8bf9daca423c09b0a9 debuginfo(build-id) = 4f0e69a5be38043017e6e45243d3f91f1708419d debuginfo(build-id) = 577750c73a9bb2538b233a423fe036f0015db7d1 debuginfo(build-id) = 59ad0fcc4182155ffd9e06a04727a61fcc5c874e debuginfo(build-id) = 5b10574e0f26dffefab7037eac105eebb920fdd7 debuginfo(build-id) = 609f7560c9d8a05c0608fff2351c175f8bab7a3e debuginfo(build-id) = 643eb2db5756e79d92a0961108a840c6267b8b81 debuginfo(build-id) = 652adddfbf5241d4327c4cf0e6ba626c947bb527 debuginfo(build-id) = 67904ba7d134481e10f12c5d7bade76e5f435be1 debuginfo(build-id) = 68dcd0db25c6af3815c7264103a9774d5f2dff2f debuginfo(build-id) = 69e1549dd0692f072faf0167d855afb016d06a14 debuginfo(build-id) = 7191e792043ebb14d9a35460fdfe5a3b2a023e5e debuginfo(build-id) = 73a7ef32999d82b1cc0a1db77893c27290bcb468 debuginfo(build-id) = 7457d362a51e0a509f2c238947e8504b6574b8a6 debuginfo(build-id) = 757b92190e05329ff89ec08656b79cca68ca29ac debuginfo(build-id) = 7613a006f1c327787e4583be24324d0ce25737d1 debuginfo(build-id) = 7ace7d8341bf399b533c1f1e31d8179383c11c53 debuginfo(build-id) = 7b0ae60621c5243dcf1b0ed67ca3d30be34c624b debuginfo(build-id) = 7c9bd5b9e5eeb164dfad832c3ddd56a337a05f9c debuginfo(build-id) = 7e3a967db72ac957fb5499cafb176efaa989222e debuginfo(build-id) = 834dd6050dacb0da92d9dafef65c0099001e07c8 debuginfo(build-id) = 91057d42efe8b14d5f778f4f63863b11c4f88756 debuginfo(build-id) = 936d850243298940c1bbb2da555900075282796f debuginfo(build-id) = 9c3e6171cbd355bef9c0cd80d8de5db1826df14e debuginfo(build-id) = 9e8316cc531b269e2ceb2eeca018d9ae47f422b1 debuginfo(build-id) = a06ed549309418a709fce24b5d4cb978c174eff4 debuginfo(build-id) = a662de3a58a3305fae61e72dd456b8da9b2e6a24 debuginfo(build-id) = a6b40b4009e6c176670423df63d31aa3de1fa0a5 debuginfo(build-id) = ad96a0d16796687fb213b70393bfd2ec22c7c06c debuginfo(build-id) = af84ecadae939d3b3edde466889636f67b9b0dec debuginfo(build-id) = b03a61e6ba009dba210c4f6b47f1dec034676506 debuginfo(build-id) = b49d68094c8129ed5937bb1ee7a898adafee9eed debuginfo(build-id) = b6337f81a13f8f6ac43e466989bf8d395e057113 debuginfo(build-id) = b839a409146d154c3c86190e91cf17c34b1eab4a debuginfo(build-id) = bc72ebe1d3fbd3b05f1beb6adbfc8cf841a3a880 debuginfo(build-id) = beb2ca8dc9b7d1627d13af49b9834c436f48f945 debuginfo(build-id) = bf3de0491eaadbf8c7fa64e0644e95506bd99806 debuginfo(build-id) = c306e4e7565304a6a4da6bc0e7c9fd15fd6b1c58 debuginfo(build-id) = c3a41c1d98fe858b3b92ef944478fe965695b2f8 debuginfo(build-id) = c44e3d116163f381de4c89d506535c3e1bef8fc7 debuginfo(build-id) = c4ec891c4db1626ce7deb0d34289bcabfb7310e2 debuginfo(build-id) = cb50dda5ca2c0997a9eb308e1f6d5f9438a185f2 debuginfo(build-id) = d24c719c09ef91a10335ad6d1173080cf629dc00 debuginfo(build-id) = d6534efecf65e98457f8e2a52e69c510e68a310d debuginfo(build-id) = d84e173e1fdd2b1273391a07267e9def8e82969c debuginfo(build-id) = da2b116724a0e798e50a1144521152539a0bda27 debuginfo(build-id) = e6e8c1ffa1f3af8c8ad0068be58bb1573474c14a debuginfo(build-id) = eb86aea54f8373d6b5e7d3864e787b093deb63fc debuginfo(build-id) = eddcb7da3e6ac75bd1e4213e7b9bc19b1c72d149 debuginfo(build-id) = f12d5823416b39d74518615c5a4a090c373e7144 debuginfo(build-id) = f1932d7d727d02d60fb549cf71bee157357d2698 debuginfo(build-id) = f3c45f062db4ac2e63cf05e73a32a73670da716a debuginfo(build-id) = f5af3585b6251461e7763adee411bb976fe93e3d debuginfo(build-id) = f968e9d04d22b394c973c75f2d1d48a52543ca30 python-scikit-learn-debuginfo = 1.8.0~rc1-1.fc44 python3-scikit-learn-debuginfo = 1.8.0~rc1-1.fc44 python3-scikit-learn-debuginfo(x86-64) = 1.8.0~rc1-1.fc44 python3.14-scikit-learn-debuginfo = 1.8.0~rc1-1.fc44 Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Recommends: python-scikit-learn-debugsource(x86-64) = 1.8.0~rc1-1.fc44 Checking for unpackaged file(s): /usr/lib/rpm/check-files /builddir/build/BUILD/python-scikit-learn-1.8.0_rc1-build/BUILDROOT Wrote: /builddir/build/SRPMS/python-scikit-learn-1.8.0~rc1-1.fc44.src.rpm Wrote: /builddir/build/RPMS/python-scikit-learn-debugsource-1.8.0~rc1-1.fc44.x86_64.rpm Wrote: /builddir/build/RPMS/python3-scikit-learn-debuginfo-1.8.0~rc1-1.fc44.x86_64.rpm Wrote: /builddir/build/RPMS/python3-scikit-learn-1.8.0~rc1-1.fc44.x86_64.rpm Finish: rpmbuild python-scikit-learn-1.8.0~rc1-1.fc44.src.rpm Finish: build phase for python-scikit-learn-1.8.0~rc1-1.fc44.src.rpm INFO: chroot_scan: 1 files copied to /var/lib/copr-rpmbuild/results/chroot_scan INFO: /var/lib/mock/fedora-42-x86_64-1765206034.077258/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-1.8.0~rc1-1.fc44.src.rpm) Config(child) 11 minutes 15 seconds INFO: Results and/or logs in: /var/lib/copr-rpmbuild/results INFO: Cleaning up build root ('cleanup_on_success=True') Start: clean chroot INFO: unmounting tmpfs. Finish: clean chroot Finish: run Running RPMResults tool Package info: { "packages": [ { "name": "python3-scikit-learn", "epoch": null, "version": "1.8.0~rc1", "release": "1.fc44", "arch": "x86_64" }, { "name": "python-scikit-learn-debugsource", "epoch": null, "version": "1.8.0~rc1", "release": "1.fc44", "arch": "x86_64" }, { "name": "python-scikit-learn", "epoch": null, "version": "1.8.0~rc1", "release": "1.fc44", "arch": "src" }, { "name": "python3-scikit-learn-debuginfo", "epoch": null, "version": "1.8.0~rc1", "release": "1.fc44", "arch": "x86_64" } ] } RPMResults finished