Warning: Permanently added '100.48.91.238' (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/11102588-fedora-rawhide-x86_64 --chroot fedora-rawhide-x86_64 Version: 1.10 PID: 19143 Logging PID: 19145 Task: {'allow_user_ssh': False, 'appstream': False, 'background': True, 'bootstrap': 'off', 'build_id': 11102588, 'buildroot_pkgs': [], 'chroot': 'fedora-rawhide-x86_64', 'enable_net': False, 'fedora_review': False, 'git_hash': '4856dad1d5dd824fb7be08f8575b8f1ea007b2e9', 'git_repo': 'https://copr-dist-git.fedorainfracloud.org/git/@python/python3.15/python-scikit-learn', 'isolation': 'default', 'memory_reqs': 2048, 'package_name': 'python-scikit-learn', 'package_version': '1.8.0-2', 'project_dirname': 'python3.15', 'project_name': 'python3.15', 'project_owner': '@python', 'repo_priority': 9, 'repos': [{'baseurl': 'https://download.copr.fedorainfracloud.org/results/@python/python3.15/fedora-rawhide-x86_64/', 'id': 'copr_base', 'name': 'Copr repository', 'priority': 9, 'repo_gpgcheck': False}, {'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': '@python/python3.15--ksurma', 'source_json': {}, 'source_type': None, 'ssh_public_keys': None, 'storage': 0, 'submitter': 'ksurma', 'tags': [], 'task_id': '11102588-fedora-rawhide-x86_64', 'timeout': 18000, 'uses_devel_repo': False, 'with_opts': [], 'without_opts': []} Running: git clone https://copr-dist-git.fedorainfracloud.org/git/@python/python3.15/python-scikit-learn /var/lib/copr-rpmbuild/workspace/workdir-7q93mjdq/python-scikit-learn --depth 500 --no-single-branch --recursive cmd: ['git', 'clone', 'https://copr-dist-git.fedorainfracloud.org/git/@python/python3.15/python-scikit-learn', '/var/lib/copr-rpmbuild/workspace/workdir-7q93mjdq/python-scikit-learn', '--depth', '500', '--no-single-branch', '--recursive'] cwd: . rc: 0 stdout: stderr: Cloning into '/var/lib/copr-rpmbuild/workspace/workdir-7q93mjdq/python-scikit-learn'... Running: git checkout 4856dad1d5dd824fb7be08f8575b8f1ea007b2e9 -- cmd: ['git', 'checkout', '4856dad1d5dd824fb7be08f8575b8f1ea007b2e9', '--'] cwd: /var/lib/copr-rpmbuild/workspace/workdir-7q93mjdq/python-scikit-learn rc: 0 stdout: stderr: Note: switching to '4856dad1d5dd824fb7be08f8575b8f1ea007b2e9'. 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 4856dad automatic import of python-scikit-learn Running: dist-git-client sources cmd: ['dist-git-client', 'sources'] cwd: /var/lib/copr-rpmbuild/workspace/workdir-7q93mjdq/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-1.8.0.tar.gz INFO: Reading stdout from command: curl --help all INFO: Calling: curl -H Pragma: -H 'Accept-Encoding: identity' -o scikit_learn-1.8.0.tar.gz --location --connect-timeout 60 --retry 3 --retry-delay 10 --remote-time --show-error --fail --retry-all-errors https://copr-dist-git.fedorainfracloud.org/repo/pkgs/@python/python3.15/python-scikit-learn/scikit_learn-1.8.0.tar.gz/md5/b0c715e163cb90b08bf964822a230b21/scikit_learn-1.8.0.tar.gz % Total % Received % Xferd Average Speed Time Time Time Current Dload Upload Total Spent Left Speed 100 6.99M 100 6.99M 0 0 27.60M 0 0 INFO: Reading stdout from command: md5sum scikit_learn-1.8.0.tar.gz tail: /var/lib/copr-rpmbuild/main.log: file truncated Running (timeout=18000): unbuffer mock --spec /var/lib/copr-rpmbuild/workspace/workdir-7q93mjdq/python-scikit-learn/python-scikit-learn.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-7q93mjdq/python-scikit-learn --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1791584070.594594 -r /var/lib/copr-rpmbuild/results/configs/child.cfg INFO: mock.py version 6.9 starting (python version = 3.14.5, NVR = mock-6.9-1.fc44), args: /usr/libexec/mock/mock --spec /var/lib/copr-rpmbuild/workspace/workdir-7q93mjdq/python-scikit-learn/python-scikit-learn.spec --sources /var/lib/copr-rpmbuild/workspace/workdir-7q93mjdq/python-scikit-learn --resultdir /var/lib/copr-rpmbuild/results --uniqueext 1791584070.594594 -r /var/lib/copr-rpmbuild/results/configs/child.cfg 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-7q93mjdq/python-scikit-learn/python-scikit-learn.spec) Config(fedora-rawhide-x86_64) Start: clean chroot Finish: clean chroot Mock Version: 6.9 INFO: Mock Version: 6.9 Start: chroot init INFO: mounting tmpfs at /var/lib/mock/fedora-rawhide-x86_64-1791584070.594594/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 (fallback) INFO: Buildroot is handled by package management from host and used with --installroot: rpm-6.0.2-1.fc44.x86_64 rpm-sequoia-1.10.2-2.fc44.x86_64 python3-dnf-4.24.0-3.fc44.noarch python3-dnf-plugins-core-4.10.1-9.fc44.noarch dnf5-5.4.6.0-1.fc44.x86_64 dnf5-plugins-5.4.6.0-1.fc44.x86_64 Start: installing minimal buildroot with dnf5 Updating and loading repositories: Additional repo http_kojipkgs_fedorapr 100% | 47.8 KiB/s | 3.9 KiB | 00m00s fedora 100% | 98.6 KiB/s | 20.9 KiB | 00m00s Copr repository 100% | 19.0 KiB/s | 1.5 KiB | 00m00s Repositories loaded. 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1.7 MiB libzstd x86_64 0:1.5.7-6.fc45 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 956.1 KiB linkdupes x86_64 0:0.7.3-3.fc45 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 782.1 KiB lua-libs x86_64 0:5.5.1-2.fc46 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 298.0 KiB lua-srpm-macros noarch 0:1-18.fc45 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.3 KiB lz4-libs x86_64 0:1.10.0-5.fc45 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 165.3 KiB meson-srpm-macros noarch 0:1.12.1-2.fc46 copr_base 1.7 KiB mpfr x86_64 0:4.2.2-4.fc45 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 849.2 KiB ncurses-base noarch 0:6.6-3.fc45 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 329.7 KiB ncurses-libs x86_64 0:6.6-3.fc45 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 969.1 KiB nettle x86_64 0:4.0-5.fc45 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 801.9 KiB ngtcp2 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http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.6 KiB pam-libs x86_64 0:1.7.2-4.fc45 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 134.5 KiB pcre2 x86_64 0:10.47-1.fc45.2 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 718.5 KiB pcre2-syntax noarch 0:10.47-1.fc45.2 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 281.9 KiB perl-srpm-macros noarch 0:1-65.fc45 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 861.0 B pkgconf x86_64 0:2.5.1-2.fc45 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 92.7 KiB pkgconf-m4 noarch 0:2.5.1-2.fc45 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 14.3 KiB pkgconf-pkg-config x86_64 0:2.5.1-2.fc45 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 989.0 B policycoreutils x86_64 0:3.11-2.fc46 copr_base 892.9 KiB popt x86_64 0:1.19-11.fc45 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 136.7 KiB publicsuffix-list-dafsa noarch 0:20260624-2.fc45 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 71.3 KiB pyproject-srpm-macros noarch 0:1.23.2-1.fc45 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 3.4 KiB python-srpm-macros noarch 0:3.15-8.fc44 copr_base 51.6 KiB qt5-srpm-macros noarch 0:5.15.18-3.fc45 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 500.0 B qt6-srpm-macros noarch 0:6.11.2-1.fc46 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 472.0 B readline x86_64 0:8.3-7.fc46 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 515.6 KiB redhat-systemd-presets noarch 0:102-3.fc45 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.0 KiB redhat-systemd-presets-common noarch 0:102-3.fc45 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 16.9 KiB rpm x86_64 0:6.1.0-1.fc46 copr_base 3.1 MiB rpm-build-libs x86_64 0:6.1.0-1.fc46 copr_base 288.3 KiB rpm-libs x86_64 0:6.1.0-1.fc46 copr_base 1.1 MiB rpm-plugin-selinux x86_64 0:6.1.0-1.fc46 copr_base 11.9 KiB rpm-sequoia x86_64 0:1.10.3-1.fc46 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 2.4 MiB rpm-sign-libs x86_64 0:6.1.0-1.fc46 copr_base 39.6 KiB rust-srpm-macros noarch 0:28.5-2.fc45 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 5.5 KiB selinux-policy noarch 0:45.21-1.fc46 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 32.1 KiB selinux-policy-targeted noarch 0:45.21-1.fc46 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 19.0 MiB setup noarch 0:2.15.1-2.fc45 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 725.6 KiB sqlite-libs x86_64 0:3.53.4-1.fc45 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.6 MiB systemd-libs x86_64 0:262-3.fc46 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 2.8 MiB systemd-standalone-sysusers x86_64 0:262-3.fc46 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 981.3 KiB tpm2-tss x86_64 0:4.2.0-1.fc45 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.7 MiB tree-sitter-srpm-macros noarch 0:0.4.6-2.fc45 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 8.6 KiB util-linux-core x86_64 0:2.42.4-2.fc46 copr_base 1.5 MiB xxhash-libs x86_64 0:0.8.4-1.fc46 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 94.0 KiB xz-libs x86_64 1:5.8.4-1.fc46 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 221.7 KiB zig-srpm-macros noarch 0:1-9.fc45 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.3 KiB zip x86_64 0:3.0-46.fc45 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 694.1 KiB zlib-ng-compat x86_64 0:2.3.3-6.fc45 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 165.6 KiB zstd x86_64 0:1.5.7-6.fc45 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 502.6 KiB Installing groups: Buildsystem building group Transaction Summary: Installing: 190 packages Total size of inbound packages is 71 MiB. 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B | 00m00s >>> Already downloaded -------------------------------------------------------------------------------- [190/190] Total 100% | 0.0 B/s | 0.0 B | 00m00s Running transaction [ 1/192] Verify package files 100% | 529.0 B/s | 190.0 B | 00m00s >>> Running %pretrans scriptlet: filesystem-0:3.18-59.fc45.x86_64 >>> Finished %pretrans scriptlet: filesystem-0:3.18-59.fc45.x86_64 >>> [RPM] /var/lib/mock/fedora-rawhide-x86_64-1791584070.594594/root/var/cache/dnf/copr_base-b76b6b6713922040/packages/rpm-build-6.1.0-1.fc46.x86_64.rpm: Header OpenPGP V4 RSA/SHA256 signature, key ID 67020b3cda6479eb: NOKEY [ 2/192] Prepare transaction 100% | 3.6 KiB/s | 190.0 B | 00m00s [ 3/192] Installing libgcc-0:16.2.1-2. 100% | 266.0 MiB/s | 272.4 KiB | 00m00s [ 4/192] Installing redhat-systemd-pre 100% | 0.0 B/s | 1.5 KiB | 00m00s [ 5/192] Installing redhat-systemd-pre 100% | 0.0 B/s | 18.1 KiB | 00m00s [ 6/192] Installing publicsuffix-list- 100% | 0.0 B/s | 72.0 KiB | 00m00s [ 7/192] Installing libssh-config-0:0. 100% | 0.0 B/s | 816.0 B | 00m00s [ 8/192] Installing fedora-release-ide 100% | 0.0 B/s | 920.0 B | 00m00s [ 9/192] Installing fedora-repos-rawhi 100% | 0.0 B/s | 2.5 KiB | 00m00s [ 10/192] Installing fedora-gpg-keys-0: 100% | 59.2 MiB/s | 181.7 KiB | 00m00s [ 11/192] Installing fedora-repos-0:46- 100% | 0.0 B/s | 5.9 KiB | 00m00s [ 12/192] Installing fedora-release-com 100% | 0.0 B/s | 8.0 KiB | 00m00s [ 13/192] Installing fedora-release-0:4 100% | 9.3 KiB/s | 124.0 B | 00m00s >>> Running sysusers scriptlet: setup-0:2.15.1-2.fc45.noarch >>> Finished sysusers scriptlet: setup-0:2.15.1-2.fc45.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. >>> [ 14/192] Installing setup-0:2.15.1-2.f 100% | 47.6 MiB/s | 731.3 KiB | 00m00s >>> [RPM] /etc/hosts created as /etc/hosts.rpmnew [ 15/192] Installing filesystem-0:3.18- 100% | 2.9 MiB/s | 253.6 KiB | 00m00s >>> [RPM] failed to open /usr/lib/group for id/name lookup: No such file or directory [ 16/192] Installing gnulib-l10n-0:2024 100% | 215.5 MiB/s | 661.9 KiB | 00m00s [ 17/192] Installing coreutils-common-0 100% | 444.7 MiB/s | 11.6 MiB | 00m00s [ 18/192] Installing ncurses-base-0:6.6 100% | 115.7 MiB/s | 355.3 KiB | 00m00s [ 19/192] Installing bash-0:5.3.20-1.fc 100% | 273.3 MiB/s | 8.5 MiB | 00m00s [ 20/192] Installing glibc-common-0:2.4 100% | 57.5 MiB/s | 1.0 MiB | 00m00s [ 21/192] Installing glibc-gconv-extra- 100% | 338.5 MiB/s | 7.8 MiB | 00m00s [ 22/192] Installing glibc-0:2.44.9000- 100% | 194.0 MiB/s | 7.2 MiB | 00m00s [ 23/192] Installing ncurses-libs-0:6.6 100% | 317.4 MiB/s | 974.9 KiB | 00m00s [ 24/192] Installing glibc-minimal-lang 100% | 0.0 B/s | 124.0 B | 00m00s [ 25/192] Installing zlib-ng-compat-0:2 100% | 162.5 MiB/s | 166.4 KiB | 00m00s [ 26/192] Installing bzip2-libs-0:1.0.8 100% | 0.0 B/s | 81.6 KiB | 00m00s [ 27/192] Installing libgpg-error-0:1.6 100% | 55.1 MiB/s | 959.7 KiB | 00m00s [ 28/192] Installing readline-0:8.3-7.f 100% | 252.8 MiB/s | 517.7 KiB | 00m00s [ 29/192] Installing libstdc++-0:16.2.1 100% | 440.9 MiB/s | 3.1 MiB | 00m00s [ 30/192] Installing libzstd-0:1.5.7-6. 100% | 467.5 MiB/s | 957.4 KiB | 00m00s [ 31/192] Installing elfutils-libelf-0: 100% | 481.0 MiB/s | 1.4 MiB | 00m00s [ 32/192] Installing libassuan-0:2.5.7- 100% | 161.8 MiB/s | 165.7 KiB | 00m00s [ 33/192] Installing libgcrypt-0:1.12.4 100% | 416.6 MiB/s | 1.7 MiB | 00m00s [ 34/192] Installing libuuid-0:2.42.4-2 100% | 0.0 B/s | 38.2 KiB | 00m00s [ 35/192] Installing systemd-libs-0:262 100% | 395.7 MiB/s | 2.8 MiB | 00m00s [ 36/192] Installing libacl-0:2.4.0-2.f 100% | 0.0 B/s | 44.7 KiB | 00m00s [ 37/192] Installing gmp-1:6.3.0-6.fc45 100% | 399.1 MiB/s | 817.4 KiB | 00m00s [ 38/192] Installing popt-0:1.19-11.fc4 100% | 70.0 MiB/s | 143.3 KiB | 00m00s [ 39/192] Installing sqlite-libs-0:3.53 100% | 404.7 MiB/s | 1.6 MiB | 00m00s [ 40/192] Installing xz-libs-1:5.8.4-1. 100% | 217.6 MiB/s | 222.8 KiB | 00m00s [ 41/192] Installing npth-0:1.8-5.fc45. 100% | 0.0 B/s | 50.6 KiB | 00m00s [ 42/192] Installing elfutils-libs-0:0. 100% | 352.2 MiB/s | 721.3 KiB | 00m00s [ 43/192] Installing libblkid-0:2.42.4- 100% | 276.6 MiB/s | 283.3 KiB | 00m00s [ 44/192] Installing libsepol-0:3.11-2. 100% | 423.4 MiB/s | 867.1 KiB | 00m00s [ 45/192] Installing gnupg2-gpgconf-0:2 100% | 16.7 MiB/s | 255.9 KiB | 00m00s [ 46/192] Installing libxcrypt-0:4.5.2- 100% | 289.0 MiB/s | 295.9 KiB | 00m00s [ 47/192] Installing json-c-0:0.18-9.fc 100% | 0.0 B/s | 83.9 KiB | 00m00s [ 48/192] Installing libtasn1-0:4.21.0- 100% | 174.3 MiB/s | 178.5 KiB | 00m00s [ 49/192] Installing libunistring-0:1.1 100% | 433.6 MiB/s | 1.7 MiB | 00m00s [ 50/192] Installing libidn2-0:2.3.8-4. 100% | 49.9 MiB/s | 562.6 KiB | 00m00s [ 51/192] Installing crypto-policies-0: 100% | 38.9 MiB/s | 159.5 KiB | 00m00s [ 52/192] Installing gnupg2-verify-0:2. 100% | 21.8 MiB/s | 357.7 KiB | 00m00s [ 53/192] Installing mpfr-0:4.2.2-4.fc4 100% | 415.5 MiB/s | 850.9 KiB | 00m00s [ 54/192] Installing gawk-0:5.4.1-1.fc4 100% | 111.4 MiB/s | 2.2 MiB | 00m00s [ 55/192] Installing dwz-0:0.17-3.fc45. 100% | 19.0 MiB/s | 292.5 KiB | 00m00s [ 56/192] Installing libksba-0:1.8.1-1. 100% | 424.2 MiB/s | 434.4 KiB | 00m00s [ 57/192] Installing unzip-0:6.0-71.fc4 100% | 29.0 MiB/s | 445.3 KiB | 00m00s [ 58/192] Installing file-libs-0:5.48-3 100% | 726.1 MiB/s | 12.3 MiB | 00m00s [ 59/192] Installing file-0:5.48-3.fc46 100% | 7.2 MiB/s | 103.4 KiB | 00m00s [ 60/192] Installing diffutils-0:3.12-6 100% | 86.9 MiB/s | 1.6 MiB | 00m00s [ 61/192] Installing libcap-ng-0:0.9.6- 100% | 69.0 MiB/s | 70.6 KiB | 00m00s [ 62/192] Installing audit-libs-0:4.2.1 100% | 383.9 MiB/s | 393.1 KiB | 00m00s [ 63/192] Installing libsmartcols-0:2.4 100% | 185.2 MiB/s | 189.6 KiB | 00m00s [ 64/192] Installing libeconf-0:0.7.9-4 100% | 0.0 B/s | 66.4 KiB | 00m00s [ 65/192] Installing pam-libs-0:1.7.2-4 100% | 133.7 MiB/s | 136.9 KiB | 00m00s [ 66/192] Installing libcap-0:2.78-2.fc 100% | 13.9 MiB/s | 213.3 KiB | 00m00s [ 67/192] Installing libattr-0:2.6.0-2. 100% | 0.0 B/s | 25.2 KiB | 00m00s [ 68/192] Installing alternatives-0:1.3 100% | 4.4 MiB/s | 63.6 KiB | 00m00s [ 69/192] Installing lua-libs-0:5.5.1-2 100% | 292.4 MiB/s | 299.4 KiB | 00m00s [ 70/192] Installing libffi-0:3.8.0-1.f 100% | 94.6 MiB/s | 96.9 KiB | 00m00s [ 71/192] Installing p11-kit-0:0.26.5-1 100% | 125.5 MiB/s | 2.6 MiB | 00m00s [ 72/192] Installing p11-kit-trust-0:0. 100% | 18.8 MiB/s | 480.1 KiB | 00m00s [ 73/192] Installing ngtcp2-0:1.22.1-3. 100% | 327.9 MiB/s | 335.8 KiB | 00m00s [ 74/192] Installing liblastlog2-0:2.42 100% | 5.6 MiB/s | 39.8 KiB | 00m00s [ 75/192] Installing zip-0:3.0-46.fc45. 100% | 40.1 MiB/s | 698.0 KiB | 00m00s [ 76/192] Installing gnupg2-keyboxd-0:2 100% | 24.7 MiB/s | 202.5 KiB | 00m00s [ 77/192] Installing libpsl-0:0.23.3-1. 100% | 79.6 MiB/s | 81.5 KiB | 00m00s [ 78/192] Installing libfdisk-0:2.42.4- 100% | 384.0 MiB/s | 393.2 KiB | 00m00s [ 79/192] Installing fips-provider-0:1. 100% | 439.0 MiB/s | 4.8 MiB | 00m00s [ 80/192] Installing nettle-0:4.0-5.fc4 100% | 393.1 MiB/s | 805.0 KiB | 00m00s [ 81/192] Installing gnutls-0:3.8.13-5. 100% | 383.7 MiB/s | 3.8 MiB | 00m00s [ 82/192] Installing libusb1-0:1.0.30-2 100% | 177.5 MiB/s | 181.8 KiB | 00m00s [ 83/192] Installing zstd-0:1.5.7-6.fc4 100% | 27.5 MiB/s | 506.1 KiB | 00m00s [ 84/192] Installing libxml2-0:2.15.4-1 100% | 82.7 MiB/s | 1.7 MiB | 00m00s [ 85/192] Installing bzip2-0:1.0.8-24.f 100% | 6.5 MiB/s | 99.5 KiB | 00m00s [ 86/192] Installing add-determinism-0: 100% | 107.9 MiB/s | 2.2 MiB | 00m00s [ 87/192] Installing cpio-0:2.15-10.fc4 100% | 61.3 MiB/s | 1.1 MiB | 00m00s [ 88/192] Installing libpkgconf-0:2.5.1 100% | 89.1 MiB/s | 91.3 KiB | 00m00s [ 89/192] Installing pkgconf-0:2.5.1-2. 100% | 6.2 MiB/s | 95.2 KiB | 00m00s [ 90/192] Installing ed-0:1.22.6-1.fc46 100% | 10.0 MiB/s | 153.2 KiB | 00m00s [ 91/192] Installing patch-0:2.8-6.fc46 100% | 14.9 MiB/s | 228.1 KiB | 00m00s [ 92/192] Installing lz4-libs-0:1.10.0- 100% | 162.5 MiB/s | 166.4 KiB | 00m00s [ 93/192] Installing libpfm-0:4.13.0-23 100% | 576.1 MiB/s | 1.7 MiB | 00m00s [ 94/192] Installing jansson-0:2.14-5.f 100% | 88.2 MiB/s | 90.3 KiB | 00m00s [ 95/192] Installing libgomp-0:16.2.1-2 100% | 282.7 MiB/s | 578.9 KiB | 00m00s [ 96/192] Installing libtool-ltdl-0:2.6 100% | 0.0 B/s | 71.1 KiB | 00m00s [ 97/192] Installing gdbm-libs-1:1.26-1 100% | 132.7 MiB/s | 135.9 KiB | 00m00s [ 98/192] Installing cyrus-sasl-lib-0:2 100% | 123.1 MiB/s | 2.3 MiB | 00m00s [ 99/192] Installing xxhash-libs-0:0.8. 100% | 93.1 MiB/s | 95.4 KiB | 00m00s [100/192] Installing systemd-standalone 100% | 59.9 MiB/s | 981.8 KiB | 00m00s [101/192] Installing libbrotli-0:1.2.0- 100% | 282.3 MiB/s | 867.3 KiB | 00m00s [102/192] Installing libnghttp2-0:1.69. 100% | 163.3 MiB/s | 167.3 KiB | 00m00s [103/192] Installing libnghttp3-0:1.18. 100% | 161.0 MiB/s | 164.8 KiB | 00m00s [104/192] Installing keyutils-libs-0:1. 100% | 54.3 MiB/s | 55.6 KiB | 00m00s [105/192] Installing libcom_err-0:1.47. 100% | 0.0 B/s | 64.1 KiB | 00m00s [106/192] Installing libverto-0:0.3.2-1 100% | 0.0 B/s | 27.1 KiB | 00m00s [107/192] Installing libcbor-0:0.14.0-3 100% | 0.0 B/s | 84.9 KiB | 00m00s [108/192] Installing filesystem-srpm-ma 100% | 0.0 B/s | 38.9 KiB | 00m00s [109/192] Installing pcre2-syntax-0:10. 100% | 277.7 MiB/s | 284.3 KiB | 00m00s [110/192] Installing pcre2-0:10.47-1.fc 100% | 351.5 MiB/s | 720.0 KiB | 00m00s [111/192] Installing libselinux-0:3.11- 100% | 201.6 MiB/s | 206.4 KiB | 00m00s [112/192] Installing grep-0:3.12-4.fc45 100% | 55.7 MiB/s | 1.0 MiB | 00m00s [113/192] Installing sed-0:4.10-2.fc45. 100% | 50.3 MiB/s | 874.9 KiB | 00m00s [114/192] Installing findutils-1:4.11.0 100% | 103.1 MiB/s | 2.0 MiB | 00m00s [115/192] Installing xz-1:5.8.4-1.fc46. 100% | 75.1 MiB/s | 1.4 MiB | 00m00s [116/192] Installing libmount-0:2.42.4- 100% | 400.4 MiB/s | 410.0 KiB | 00m00s [117/192] Installing libsemanage-0:3.11 100% | 314.8 MiB/s | 322.4 KiB | 00m00s [118/192] Installing util-linux-core-0: 100% | 79.6 MiB/s | 1.5 MiB | 00m00s [119/192] Installing openssl-libs-1:4.0 100% | 418.7 MiB/s | 6.7 MiB | 00m00s [120/192] Installing coreutils-0:9.12-1 100% | 176.5 MiB/s | 6.4 MiB | 00m00s [121/192] Installing ca-certificates-0: 100% | 2.4 MiB/s | 2.5 MiB | 00m01s [122/192] Installing libarchive-0:3.8.9 100% | 327.4 MiB/s | 1.0 MiB | 00m00s [123/192] Installing krb5-libs-0:1.22.2 100% | 119.4 MiB/s | 2.4 MiB | 00m00s >>> Running sysusers scriptlet: tpm2-tss-0:4.2.0-1.fc45.x86_64 >>> Finished sysusers scriptlet: tpm2-tss-0:4.2.0-1.fc45.x86_64 >>> Scriptlet output: >>> Creating group 'tss' with GID 59. >>> Creating user 'tss' (Account used for TPM access) with UID 59 and GID 59. >>> [124/192] Installing tpm2-tss-0:4.2.0-1 100% | 277.9 MiB/s | 1.7 MiB | 00m00s [125/192] Installing ima-evm-utils-libs 100% | 56.5 MiB/s | 57.9 KiB | 00m00s [126/192] Installing gnupg2-gpg-agent-0 100% | 25.6 MiB/s | 682.8 KiB | 00m00s [127/192] Installing util-linux-0:2.42. 100% | 96.3 MiB/s | 3.8 MiB | 00m00s [128/192] Installing gzip-0:1.15-1.fc46 100% | 27.5 MiB/s | 450.7 KiB | 00m00s [129/192] Installing rpm-sequoia-0:1.10 100% | 407.9 MiB/s | 2.4 MiB | 00m00s [130/192] Installing rpm-libs-0:6.1.0-1 100% | 366.4 MiB/s | 1.1 MiB | 00m00s [131/192] Installing libfsverity-0:1.7- 100% | 0.0 B/s | 25.4 KiB | 00m00s [132/192] Installing libevent-0:2.1.13- 100% | 320.5 MiB/s | 984.5 KiB | 00m00s [133/192] Installing openldap-0:2.6.15- 100% | 335.6 MiB/s | 687.2 KiB | 00m00s [134/192] Installing gnupg2-dirmngr-0:2 100% | 24.7 MiB/s | 632.8 KiB | 00m00s [135/192] Installing gnupg2-0:2.4.9-18. 100% | 216.7 MiB/s | 6.5 MiB | 00m00s [136/192] Installing rpm-sign-libs-0:6. 100% | 39.5 MiB/s | 40.5 KiB | 00m00s [137/192] Installing rpm-build-libs-0:6 100% | 282.4 MiB/s | 289.2 KiB | 00m00s [138/192] Installing gpgverify-0:2.2-5. 100% | 0.0 B/s | 9.4 KiB | 00m00s [139/192] Installing ngtcp2-crypto-ossl 100% | 0.0 B/s | 52.5 KiB | 00m00s [140/192] Installing libfido2-0:1.17.0- 100% | 252.0 MiB/s | 258.1 KiB | 00m00s [141/192] Installing libssh-0:0.12.2-1. 100% | 355.4 MiB/s | 727.8 KiB | 00m00s [142/192] Installing libcurl-0:8.23.0~r 100% | 360.6 MiB/s | 1.1 MiB | 00m00s [143/192] Installing elfutils-debuginfo 100% | 5.0 MiB/s | 82.2 KiB | 00m00s [144/192] Installing binutils-0:2.47.50 100% | 326.5 MiB/s | 24.5 MiB | 00m00s [145/192] Installing elfutils-0:0.196-1 100% | 138.1 MiB/s | 3.2 MiB | 00m00s [146/192] Installing gdb-minimal-0:17.2 100% | 283.3 MiB/s | 14.2 MiB | 00m00s [147/192] Installing debugedit-0:5.3-3. 100% | 13.7 MiB/s | 224.1 KiB | 00m00s [148/192] Installing curl-0:8.23.0~rc3- 100% | 17.0 MiB/s | 488.7 KiB | 00m00s [149/192] Installing rpm-0:6.1.0-1.fc46 100% | 65.9 MiB/s | 2.5 MiB | 00m00s [150/192] Installing cmake-srpm-macros- 100% | 0.0 B/s | 804.0 B | 00m00s [151/192] Installing efi-srpm-macros-0: 100% | 0.0 B/s | 41.3 KiB | 00m00s [152/192] Installing java-srpm-macros-0 100% | 0.0 B/s | 1.1 KiB | 00m00s [153/192] Installing lua-srpm-macros-0: 100% | 0.0 B/s | 1.9 KiB | 00m00s [154/192] Installing tree-sitter-srpm-m 100% | 0.0 B/s | 9.6 KiB | 00m00s [155/192] Installing zig-srpm-macros-0: 100% | 0.0 B/s | 1.9 KiB | 00m00s [156/192] Installing tar-2:1.35-9.fc45. 100% | 135.2 MiB/s | 3.0 MiB | 00m00s [157/192] Installing linkdupes-0:0.7.3- 100% | 45.0 MiB/s | 783.5 KiB | 00m00s [158/192] Installing libselinux-utils-0 100% | 17.4 MiB/s | 320.4 KiB | 00m00s [159/192] Installing policycoreutils-0: 100% | 29.0 MiB/s | 921.3 KiB | 00m00s [160/192] Installing selinux-policy-0:4 100% | 1.3 MiB/s | 34.5 KiB | 00m00s [161/192] Installing selinux-policy-tar 100% | 213.4 MiB/s | 15.2 MiB | 00m00s [162/192] Installing build-reproducibil 100% | 0.0 B/s | 1.5 KiB | 00m00s [163/192] Installing pkgconf-m4-0:2.5.1 100% | 0.0 B/s | 14.7 KiB | 00m00s [164/192] Installing pkgconf-pkg-config 100% | 104.3 KiB/s | 1.8 KiB | 00m00s [165/192] Installing rust-srpm-macros-0 100% | 0.0 B/s | 6.4 KiB | 00m00s [166/192] Installing qt6-srpm-macros-0: 100% | 0.0 B/s | 748.0 B | 00m00s [167/192] Installing qt5-srpm-macros-0: 100% | 189.5 KiB/s | 776.0 B | 00m00s [168/192] Installing perl-srpm-macros-0 100% | 0.0 B/s | 1.1 KiB | 00m00s [169/192] Installing package-notes-srpm 100% | 0.0 B/s | 2.1 KiB | 00m00s [170/192] Installing openblas-srpm-macr 100% | 0.0 B/s | 404.0 B | 00m00s [171/192] Installing ocaml-srpm-macros- 100% | 0.0 B/s | 2.1 KiB | 00m00s [172/192] Installing meson-srpm-macros- 100% | 0.0 B/s | 1.9 KiB | 00m00s [173/192] Installing kernel-srpm-macros 100% | 0.0 B/s | 2.3 KiB | 00m00s [174/192] Installing gnome-srpm-macros- 100% | 0.0 B/s | 4.1 KiB | 00m00s [175/192] Installing gnat-srpm-macros-0 100% | 0.0 B/s | 1.3 KiB | 00m00s [176/192] Installing ghc-srpm-macros-0: 100% | 0.0 B/s | 1.0 KiB | 00m00s [177/192] Installing gap-srpm-macros-0: 100% | 0.0 B/s | 2.7 KiB | 00m00s [178/192] Installing fpc-srpm-macros-0: 100% | 0.0 B/s | 420.0 B | 00m00s [179/192] Installing ansible-srpm-macro 100% | 0.0 B/s | 36.2 KiB | 00m00s [180/192] Installing rpm-build-0:6.1.0- 100% | 18.5 MiB/s | 322.1 KiB | 00m00s [181/192] Installing erlang-srpm-macros 100% | 0.0 B/s | 2.6 KiB | 00m00s [182/192] Installing pyproject-srpm-mac 100% | 0.0 B/s | 4.0 KiB | 00m00s [183/192] Installing redhat-rpm-config- 100% | 185.9 MiB/s | 190.4 KiB | 00m00s [184/192] Installing forge-srpm-macros- 100% | 0.0 B/s | 40.3 KiB | 00m00s [185/192] Installing fonts-srpm-macros- 100% | 0.0 B/s | 57.0 KiB | 00m00s [186/192] Installing go-srpm-macros-0:3 100% | 0.0 B/s | 63.0 KiB | 00m00s [187/192] Installing R-srpm-macros-0:1. 100% | 0.0 B/s | 4.4 KiB | 00m00s [188/192] Installing python-srpm-macros 100% | 0.0 B/s | 52.9 KiB | 00m00s [189/192] Installing rpm-plugin-selinux 100% | 0.0 B/s | 12.9 KiB | 00m00s [190/192] Installing which-0:2.25-2.fc4 100% | 5.2 MiB/s | 85.8 KiB | 00m00s [191/192] Installing shadow-utils-2:4.2 100% | 131.5 MiB/s | 3.9 MiB | 00m00s [192/192] Installing info-0:7.3-3.fc45. 100% | 55.4 KiB/s | 372.8 KiB | 00m07s Warning: skipped OpenPGP checks for 190 packages from repositories: copr_base, 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: R-srpm-macros-1.3.7-3.fc45.noarch add-determinism-0.7.3-3.fc45.x86_64 alternatives-1.33-6.fc45.x86_64 ansible-srpm-macros-1-22.fc45.noarch audit-libs-4.2.1-2.fc46.x86_64 bash-5.3.20-1.fc46.x86_64 binutils-2.47.50-12.fc46.x86_64 build-reproducibility-srpm-macros-0.7.3-3.fc45.noarch bzip2-1.0.8-24.fc45.x86_64 bzip2-libs-1.0.8-24.fc45.x86_64 ca-certificates-2026.2.90_v9.0.317-1.fc46.noarch cmake-srpm-macros-4.3.0-4.fc45.noarch coreutils-9.12-1.fc46.x86_64 coreutils-common-9.12-1.fc46.x86_64 cpio-2.15-10.fc45.x86_64 crypto-policies-20260713-2.gitc42da77.fc45.noarch curl-8.23.0~rc3-1.fc46.x86_64 cyrus-sasl-lib-2.1.28-37.fc45.x86_64 debugedit-5.3-3.fc45.x86_64 diffutils-3.12-6.fc45.x86_64 dwz-0.17-3.fc45.x86_64 ed-1.22.6-1.fc46.x86_64 efi-srpm-macros-6-9.fc45.noarch elfutils-0.196-1.fc46.x86_64 elfutils-debuginfod-client-0.196-1.fc46.x86_64 elfutils-libelf-0.196-1.fc46.x86_64 elfutils-libs-0.196-1.fc46.x86_64 erlang-srpm-macros-0.4.0-1.fc46.noarch fedora-gpg-keys-46-0.3.noarch fedora-release-46-0.1.noarch fedora-release-common-46-0.1.noarch fedora-release-identity-basic-46-0.1.noarch fedora-repos-46-0.3.noarch fedora-repos-rawhide-46-0.3.noarch file-5.48-3.fc46.x86_64 file-libs-5.48-3.fc46.x86_64 filesystem-3.18-59.fc45.x86_64 filesystem-srpm-macros-3.18-59.fc45.noarch findutils-4.11.0-2.fc45.x86_64 fips-provider-1.5.3-1.fc46.x86_64 fonts-srpm-macros-5.0.0-4.fc45.noarch forge-srpm-macros-0.4.0-5.fc45.noarch fpc-srpm-macros-1.3-17.fc45.noarch gap-srpm-macros-2-3.fc45.noarch gawk-5.4.1-1.fc45.x86_64 gdb-minimal-17.2-6.fc46.x86_64 gdbm-libs-1.26-1.fc46.x86_64 ghc-srpm-macros-1.10-2.fc45.noarch glibc-2.44.9000-4.fc46.x86_64 glibc-common-2.44.9000-4.fc46.x86_64 glibc-gconv-extra-2.44.9000-4.fc46.x86_64 glibc-minimal-langpack-2.44.9000-4.fc46.x86_64 gmp-6.3.0-6.fc45.x86_64 gnat-srpm-macros-7-3.fc45.noarch gnome-srpm-macros-1.0-2.fc45.noarch gnulib-l10n-20241231-4.fc45.noarch gnupg2-2.4.9-18.fc45.x86_64 gnupg2-dirmngr-2.4.9-18.fc45.x86_64 gnupg2-gpg-agent-2.4.9-18.fc45.x86_64 gnupg2-gpgconf-2.4.9-18.fc45.x86_64 gnupg2-keyboxd-2.4.9-18.fc45.x86_64 gnupg2-verify-2.4.9-18.fc45.x86_64 gnutls-3.8.13-5.fc46.x86_64 go-srpm-macros-3.8.0-3.fc45.noarch gpgverify-2.2-5.fc45.noarch grep-3.12-4.fc45.x86_64 gzip-1.15-1.fc46.x86_64 ima-evm-utils-libs-1.6.2-12.fc45.x86_64 info-7.3-3.fc45.x86_64 jansson-2.14-5.fc45.x86_64 java-srpm-macros-1-9.fc45.noarch json-c-0.18-9.fc45.x86_64 kernel-srpm-macros-1.0-30.fc45.noarch keyutils-libs-1.6.3-8.fc45.x86_64 krb5-libs-1.22.2-9.fc45.x86_64 libacl-2.4.0-2.fc45.x86_64 libarchive-3.8.9-2.fc46.x86_64 libassuan-2.5.7-6.fc45.x86_64 libattr-2.6.0-2.fc45.x86_64 libblkid-2.42.4-2.fc46.x86_64 libbrotli-1.2.0-6.fc46.x86_64 libcap-2.78-2.fc45.x86_64 libcap-ng-0.9.6-1.fc46.x86_64 libcbor-0.14.0-3.fc45.x86_64 libcom_err-1.47.4-2.fc45.x86_64 libcurl-8.23.0~rc3-1.fc46.x86_64 libeconf-0.7.9-4.fc45.x86_64 libevent-2.1.13-1.fc46.x86_64 libfdisk-2.42.4-2.fc46.x86_64 libffi-3.8.0-1.fc46.x86_64 libfido2-1.17.0-6.fc46.x86_64 libfsverity-1.7-4.fc45.x86_64 libgcc-16.2.1-2.fc46.1.x86_64 libgcrypt-1.12.4-1.fc46.x86_64 libgomp-16.2.1-2.fc46.1.x86_64 libgpg-error-1.61-2.fc45.x86_64 libidn2-2.3.8-4.fc45.x86_64 libksba-1.8.1-1.fc46.x86_64 liblastlog2-2.42.4-2.fc46.x86_64 libmount-2.42.4-2.fc46.x86_64 libnghttp2-1.69.0-6.fc46.x86_64 libnghttp3-1.18.0-1.fc45.x86_64 libpfm-4.13.0-23.fc46.x86_64 libpkgconf-2.5.1-2.fc45.x86_64 libpsl-0.23.3-1.fc46.x86_64 libselinux-3.11-5.fc46.x86_64 libselinux-utils-3.11-5.fc46.x86_64 libsemanage-3.11-4.fc46.x86_64 libsepol-3.11-2.fc45.x86_64 libsmartcols-2.42.4-2.fc46.x86_64 libssh-0.12.2-1.fc45.x86_64 libssh-config-0.12.2-1.fc45.noarch libstdc++-16.2.1-2.fc46.1.x86_64 libtasn1-4.21.0-2.fc45.x86_64 libtool-ltdl-2.6.2-1.fc46.x86_64 libunistring-1.1-12.fc45.x86_64 libusb1-1.0.30-2.fc45.x86_64 libuuid-2.42.4-2.fc46.x86_64 libverto-0.3.2-13.fc45.x86_64 libxcrypt-4.5.2-4.fc45.x86_64 libxml2-2.15.4-1.fc46.x86_64 libzstd-1.5.7-6.fc45.x86_64 linkdupes-0.7.3-3.fc45.x86_64 lua-libs-5.5.1-2.fc46.x86_64 lua-srpm-macros-1-18.fc45.noarch lz4-libs-1.10.0-5.fc45.x86_64 meson-srpm-macros-1.12.1-2.fc46.noarch mpfr-4.2.2-4.fc45.x86_64 ncurses-base-6.6-3.fc45.noarch ncurses-libs-6.6-3.fc45.x86_64 nettle-4.0-5.fc45.x86_64 ngtcp2-1.22.1-3.fc45.x86_64 ngtcp2-crypto-ossl-1.22.1-3.fc45.x86_64 npth-1.8-5.fc45.x86_64 ocaml-srpm-macros-11-4.fc45.noarch openblas-srpm-macros-2-23.fc46.noarch openldap-2.6.15-1.fc46.x86_64 openssl-libs-4.0.3-1.fc46.x86_64 p11-kit-0.26.5-1.fc45.x86_64 p11-kit-trust-0.26.5-1.fc45.x86_64 package-notes-srpm-macros-0.20-2.fc45.noarch pam-libs-1.7.2-4.fc45.x86_64 patch-2.8-6.fc46.x86_64 pcre2-10.47-1.fc45.2.x86_64 pcre2-syntax-10.47-1.fc45.2.noarch perl-srpm-macros-1-65.fc45.noarch pkgconf-2.5.1-2.fc45.x86_64 pkgconf-m4-2.5.1-2.fc45.noarch pkgconf-pkg-config-2.5.1-2.fc45.x86_64 policycoreutils-3.11-2.fc46.x86_64 popt-1.19-11.fc45.x86_64 publicsuffix-list-dafsa-20260624-2.fc45.noarch pyproject-srpm-macros-1.23.2-1.fc45.noarch python-srpm-macros-3.15-8.fc44.noarch qt5-srpm-macros-5.15.18-3.fc45.noarch qt6-srpm-macros-6.11.2-1.fc46.noarch readline-8.3-7.fc46.x86_64 redhat-rpm-config-345-4.fc46.noarch redhat-systemd-presets-102-3.fc45.noarch redhat-systemd-presets-common-102-3.fc45.noarch rpm-6.1.0-1.fc46.x86_64 rpm-build-6.1.0-1.fc46.x86_64 rpm-build-libs-6.1.0-1.fc46.x86_64 rpm-libs-6.1.0-1.fc46.x86_64 rpm-plugin-selinux-6.1.0-1.fc46.x86_64 rpm-sequoia-1.10.3-1.fc46.x86_64 rpm-sign-libs-6.1.0-1.fc46.x86_64 rust-srpm-macros-28.5-2.fc45.noarch sed-4.10-2.fc45.x86_64 selinux-policy-45.21-1.fc46.noarch selinux-policy-targeted-45.21-1.fc46.noarch setup-2.15.1-2.fc45.noarch shadow-utils-4.20.0-1.fc45.x86_64 sqlite-libs-3.53.4-1.fc45.x86_64 systemd-libs-262-3.fc46.x86_64 systemd-standalone-sysusers-262-3.fc46.x86_64 tar-1.35-9.fc45.x86_64 tpm2-tss-4.2.0-1.fc45.x86_64 tree-sitter-srpm-macros-0.4.6-2.fc45.noarch unzip-6.0-71.fc45.x86_64 util-linux-2.42.4-2.fc46.x86_64 util-linux-core-2.42.4-2.fc46.x86_64 which-2.25-2.fc45.x86_64 xxhash-libs-0.8.4-1.fc46.x86_64 xz-5.8.4-1.fc46.x86_64 xz-libs-5.8.4-1.fc46.x86_64 zig-srpm-macros-1-9.fc45.noarch zip-3.0-46.fc45.x86_64 zlib-ng-compat-2.3.3-6.fc45.x86_64 zstd-1.5.7-6.fc45.x86_64 Start: buildsrpm Start: rpmbuild -bs Building target platforms: x86_64 Building for target x86_64 setting SOURCE_DATE_EPOCH=1785888000 Wrote: /builddir/build/SRPMS/python-scikit-learn-1.8.0-2.fc46.src.rpm Finish: rpmbuild -bs INFO: chroot_scan: 1 files copied to /var/lib/copr-rpmbuild/results/chroot_scan INFO: /var/lib/mock/fedora-rawhide-x86_64-1791584070.594594/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-7q93mjdq/python-scikit-learn/python-scikit-learn.spec) Config(child) 0 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 INFO: Start(/var/lib/copr-rpmbuild/results/python-scikit-learn-1.8.0-2.fc46.src.rpm) Config(fedora-rawhide-x86_64) Start: chroot init INFO: mounting tmpfs at /var/lib/mock/fedora-rawhide-x86_64-1791584070.594594/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 from host and used with --installroot: rpm-6.0.2-1.fc44.x86_64 rpm-sequoia-1.10.2-2.fc44.x86_64 python3-dnf-4.24.0-3.fc44.noarch python3-dnf-plugins-core-4.10.1-9.fc44.noarch dnf5-5.4.6.0-1.fc44.x86_64 dnf5-plugins-5.4.6.0-1.fc44.x86_64 Finish: chroot init Start: build phase for python-scikit-learn-1.8.0-2.fc46.src.rpm Start: build setup for python-scikit-learn-1.8.0-2.fc46.src.rpm Building target platforms: x86_64 Building for target x86_64 setting SOURCE_DATE_EPOCH=1785888000 Wrote: /builddir/build/SRPMS/python-scikit-learn-1.8.0-2.fc46.src.rpm Updating and loading repositories: Additional repo http_kojipkgs_fedorapr 100% | 54.5 KiB/s | 3.9 KiB | 00m00s fedora 100% | 146.2 KiB/s | 20.9 KiB | 00m00s Copr repository 100% | 21.7 KiB/s | 1.5 KiB | 00m00s Repositories loaded. Package Arch Version Repository Size Installing: gcc x86_64 0:16.2.1-2.fc46.1 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 121.8 MiB gcc-c++ x86_64 0:16.2.1-2.fc46.1 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 46.8 MiB python3-devel x86_64 0:3.15.0-1.fc46 copr_base 2.5 MiB python3-joblib noarch 0:1.6.0-1.fc46 copr_base 2.4 MiB python3-psutil x86_64 0:7.2.2-12.fc46 copr_base 1.4 MiB python3-pytest noarch 0:9.1.1-1.fc46 copr_base 24.3 MiB python3-setuptools noarch 0:84.0.0-3.fc46 copr_base 7.4 MiB python3-threadpoolctl noarch 0:3.5.0-14.fc46 copr_base 137.7 KiB Installing dependencies: annobin-docs noarch 0:13.32-1.fc46 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 99.7 KiB annobin-plugin-gcc x86_64 0:13.32-1.fc46 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 724.5 KiB cpp x86_64 0:16.2.1-2.fc46.1 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 42.6 MiB expat x86_64 0:2.8.3-1.fc46 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 338.4 KiB gcc-plugin-annobin x86_64 0:16.2.1-2.fc46.1 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 57.1 KiB glibc-devel x86_64 0:2.44.9000-4.fc46 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 2.3 MiB kernel-headers x86_64 0:7.3.0-0.rc6.51.fc46 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 7.1 MiB libatomic x86_64 0:16.2.1-2.fc46.1 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 45.6 KiB libmpc x86_64 0:1.4.1-2.fc45 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 168.8 KiB libstdc++-devel x86_64 0:16.2.1-2.fc46.1 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 41.2 MiB libxcrypt-devel x86_64 0:4.5.2-4.fc45 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 31.0 KiB make x86_64 1:4.4.1-13.fc45 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.8 MiB mpdecimal x86_64 0:4.0.1-4.fc45 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 221.2 KiB pyproject-rpm-macros noarch 0:1.23.2-1.fc45 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 156.3 KiB python-pip-wheel noarch 0:26.2.1-3.fc46 copr_base 1.3 MiB python-rpm-macros noarch 0:3.15-8.fc44 copr_base 27.6 KiB python3 x86_64 0:3.15.0-1.fc46 copr_base 28.7 KiB python3-cloudpickle noarch 0:3.1.2-4.fc45 copr_base 130.0 KiB python3-iniconfig noarch 0:2.3.0-5.fc46 copr_base 49.6 KiB python3-libs x86_64 0:3.15.0-1.fc46 copr_base 48.3 MiB python3-packaging noarch 0:26.3-2.fc46 copr_base 1.3 MiB python3-pluggy noarch 0:1.6.0-8.fc46 copr_base 216.0 KiB python3-pygments noarch 0:2.20.0-5.fc46 copr_base 11.3 MiB python3-rpm-generators noarch 0:14-20.fc45 copr_base 83.7 KiB python3-rpm-macros noarch 0:3.15-8.fc44 copr_base 6.5 KiB tzdata noarch 0:2026e-1.fc46 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 1.3 MiB Transaction Summary: Installing: 34 packages Total size of inbound packages is 106 MiB. Need to download 88 MiB. After this operation, 367 MiB extra will be used (install 367 MiB, remove 0 B). [ 1/34] python3-devel-0:3.15.0-1.fc46.x 100% | 0.0 B/s | 0.0 B | 00m00s >>> Already downloaded [ 2/34] python3-psutil-0:7.2.2-12.fc46. 100% | 0.0 B/s | 0.0 B | 00m00s >>> Already downloaded [ 3/34] python3-0:3.15.0-1.fc46.x86_64 100% | 0.0 B/s | 0.0 B | 00m00s >>> Already downloaded [ 4/34] python3-libs-0:3.15.0-1.fc46.x8 100% | 0.0 B/s | 0.0 B | 00m00s >>> Already downloaded [ 5/34] python3-setuptools-0:84.0.0-3.f 100% | 0.0 B/s | 0.0 B | 00m00s >>> Already downloaded [ 6/34] python3-packaging-0:26.3-2.fc46 100% | 0.0 B/s | 0.0 B | 00m00s >>> Already downloaded [ 7/34] python3-pluggy-0:1.6.0-8.fc46.n 100% | 0.0 B/s | 0.0 B | 00m00s >>> Already downloaded [ 8/34] python3-pygments-0:2.20.0-5.fc4 100% | 0.0 B/s | 0.0 B | 00m00s >>> Already downloaded [ 9/34] expat-0:2.8.3-1.fc46.x86_64 100% | 0.0 B/s | 0.0 B | 00m00s >>> Already downloaded [10/34] mpdecimal-0:4.0.1-4.fc45.x86_64 100% | 0.0 B/s | 0.0 B | 00m00s >>> Already downloaded [11/34] python-pip-wheel-0:26.2.1-3.fc4 100% | 0.0 B/s | 0.0 B | 00m00s >>> Already downloaded [12/34] tzdata-0:2026e-1.fc46.noarch 100% | 0.0 B/s | 0.0 B | 00m00s >>> Already downloaded [13/34] python-rpm-macros-0:3.15-8.fc44 100% | 0.0 B/s | 0.0 B | 00m00s >>> Already downloaded [14/34] python3-rpm-macros-0:3.15-8.fc4 100% | 0.0 B/s | 0.0 B | 00m00s >>> Already downloaded [15/34] pyproject-rpm-macros-0:1.23.2-1 100% | 0.0 B/s | 0.0 B | 00m00s >>> Already downloaded [16/34] python3-rpm-generators-0:14-20. 100% | 0.0 B/s | 0.0 B | 00m00s >>> Already downloaded [17/34] python3-joblib-0:1.6.0-1.fc46.n 100% | 27.9 MiB/s | 570.8 KiB | 00m00s [18/34] python3-pytest-0:9.1.1-1.fc46.n 100% | 124.1 MiB/s | 2.4 MiB | 00m00s [19/34] python3-threadpoolctl-0:3.5.0-1 100% | 21.8 MiB/s | 44.7 KiB | 00m00s [20/34] python3-iniconfig-0:2.3.0-5.fc4 100% | 25.1 MiB/s | 25.7 KiB | 00m00s [21/34] python3-cloudpickle-0:3.1.2-4.f 100% | 23.4 MiB/s | 48.0 KiB | 00m00s [22/34] libmpc-0:1.4.1-2.fc45.x86_64 100% | 860.6 KiB/s | 75.7 KiB | 00m00s [23/34] gcc-c++-0:16.2.1-2.fc46.1.x86_6 100% | 61.8 MiB/s | 17.3 MiB | 00m00s [24/34] libstdc++-devel-0:16.2.1-2.fc46 100% | 38.6 MiB/s | 5.8 MiB | 00m00s [25/34] glibc-devel-0:2.44.9000-4.fc46. 100% | 13.2 MiB/s | 595.5 KiB | 00m00s [26/34] gcc-0:16.2.1-2.fc46.1.x86_64 100% | 113.7 MiB/s | 43.2 MiB | 00m00s [27/34] libatomic-0:16.2.1-2.fc46.1.x86 100% | 831.6 KiB/s | 55.7 KiB | 00m00s [28/34] make-1:4.4.1-13.fc45.x86_64 100% | 18.3 MiB/s | 581.3 KiB | 00m00s [29/34] cpp-0:16.2.1-2.fc46.1.x86_64 100% | 98.6 MiB/s | 14.6 MiB | 00m00s [30/34] kernel-headers-0:7.3.0-0.rc6.51 100% | 44.6 MiB/s | 1.6 MiB | 00m00s [31/34] libxcrypt-devel-0:4.5.2-4.fc45. 100% | 869.4 KiB/s | 30.4 KiB | 00m00s [32/34] annobin-plugin-gcc-0:13.32-1.fc 100% | 22.4 MiB/s | 710.1 KiB | 00m00s [33/34] gcc-plugin-annobin-0:16.2.1-2.f 100% | 1.7 MiB/s | 59.5 KiB | 00m00s [34/34] annobin-docs-0:13.32-1.fc46.noa 100% | 3.3 MiB/s | 87.1 KiB | 00m00s -------------------------------------------------------------------------------- [34/34] Total 100% | 179.0 MiB/s | 87.7 MiB | 00m00s Running transaction [ 1/36] Verify package files 100% | 66.0 B/s | 34.0 B | 00m01s [ 2/36] Prepare transaction 100% | 693.0 B/s | 34.0 B | 00m00s [ 3/36] Installing python-rpm-macros-0: 100% | 0.0 B/s | 28.5 KiB | 00m00s [ 4/36] Installing libmpc-0:1.4.1-2.fc4 100% | 166.4 MiB/s | 170.4 KiB | 00m00s [ 5/36] Installing python3-rpm-macros-0 100% | 0.0 B/s | 6.8 KiB | 00m00s [ 6/36] Installing pyproject-rpm-macros 100% | 154.9 MiB/s | 158.6 KiB | 00m00s [ 7/36] Installing cpp-0:16.2.1-2.fc46. 100% | 313.2 MiB/s | 42.6 MiB | 00m00s [ 8/36] Installing annobin-docs-0:13.32 100% | 49.2 MiB/s | 100.8 KiB | 00m00s [ 9/36] Installing kernel-headers-0:7.3 100% | 218.7 MiB/s | 7.2 MiB | 00m00s [10/36] Installing glibc-devel-0:2.44.9 100% | 199.9 MiB/s | 2.4 MiB | 00m00s [11/36] Installing libxcrypt-devel-0:4. 100% | 0.0 B/s | 33.3 KiB | 00m00s [12/36] Installing make-1:4.4.1-13.fc45 100% | 90.2 MiB/s | 1.8 MiB | 00m00s [13/36] Installing libatomic-0:16.2.1-2 100% | 45.6 MiB/s | 46.7 KiB | 00m00s [14/36] Installing gcc-0:16.2.1-2.fc46. 100% | 394.5 MiB/s | 121.9 MiB | 00m00s [15/36] Installing libstdc++-devel-0:16 100% | 492.0 MiB/s | 41.3 MiB | 00m00s [16/36] Installing tzdata-0:2026e-1.fc4 100% | 50.8 MiB/s | 1.5 MiB | 00m00s [17/36] Installing python-pip-wheel-0:2 100% | 634.1 MiB/s | 1.3 MiB | 00m00s [18/36] Installing mpdecimal-0:4.0.1-4. 100% | 217.5 MiB/s | 222.7 KiB | 00m00s [19/36] Installing expat-0:2.8.3-1.fc46 100% | 16.6 MiB/s | 340.5 KiB | 00m00s [20/36] Installing python3-libs-0:3.15. 100% | 363.3 MiB/s | 48.7 MiB | 00m00s [21/36] Installing python3-0:3.15.0-1.f 100% | 1.7 MiB/s | 30.4 KiB | 00m00s [22/36] Installing python3-packaging-0: 100% | 261.2 MiB/s | 1.3 MiB | 00m00s [23/36] Installing python3-rpm-generato 100% | 83.0 MiB/s | 85.0 KiB | 00m00s [24/36] Installing python3-iniconfig-0: 100% | 52.7 MiB/s | 54.0 KiB | 00m00s [25/36] Installing python3-pluggy-0:1.6 100% | 72.4 MiB/s | 222.4 KiB | 00m00s [26/36] Installing python3-pygments-0:2 100% | 217.6 MiB/s | 11.5 MiB | 00m00s [27/36] Installing python3-cloudpickle- 100% | 130.7 MiB/s | 133.8 KiB | 00m00s [28/36] Installing python3-joblib-0:1.6 100% | 245.3 MiB/s | 2.5 MiB | 00m00s [29/36] Installing python3-pytest-0:9.1 100% | 359.4 MiB/s | 24.4 MiB | 00m00s [30/36] Installing python3-devel-0:3.15 100% | 108.9 MiB/s | 2.5 MiB | 00m00s [31/36] Installing python3-psutil-0:7.2 100% | 475.3 MiB/s | 1.4 MiB | 00m00s [32/36] Installing python3-threadpoolct 100% | 68.3 MiB/s | 140.0 KiB | 00m00s [33/36] Installing python3-setuptools-0 100% | 252.1 MiB/s | 7.6 MiB | 00m00s [34/36] Installing gcc-c++-0:16.2.1-2.f 100% | 329.9 MiB/s | 46.8 MiB | 00m00s [35/36] Installing annobin-plugin-gcc-0 100% | 50.7 MiB/s | 726.2 KiB | 00m00s [36/36] Installing gcc-plugin-annobin-0 100% | 528.6 KiB/s | 58.7 KiB | 00m00s Warning: skipped OpenPGP checks for 34 packages from repositories: copr_base, http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch Complete! Building target platforms: x86_64 Building for target x86_64 setting SOURCE_DATE_EPOCH=1785888000 Wrote: /builddir/build/SRPMS/python-scikit-learn-1.8.0-2.fc46.src.rpm Updating and loading repositories: Additional repo http_kojipkgs_fedorapr 100% | 49.6 KiB/s | 3.9 KiB | 00m00s fedora 100% | 134.0 KiB/s | 20.9 KiB | 00m00s Copr repository 100% | 19.5 KiB/s | 1.5 KiB | 00m00s Repositories loaded. Nothing to do. Package "gcc-16.2.1-2.fc46.1.x86_64" is already installed. Package "gcc-c++-16.2.1-2.fc46.1.x86_64" is already installed. Package "python3-devel-3.15.0-1.fc46.x86_64" is already installed. Package "python3-joblib-1.6.0-1.fc46.noarch" is already installed. Package "python3-psutil-7.2.2-12.fc46.x86_64" is already installed. Package "python3-pytest-9.1.1-1.fc46.noarch" is already installed. Package "python3-setuptools-84.0.0-3.fc46.noarch" is already installed. Package "python3-threadpoolctl-3.5.0-14.fc46.noarch" is already installed. Finish: build setup for python-scikit-learn-1.8.0-2.fc46.src.rpm Start: rpmbuild python-scikit-learn-1.8.0-2.fc46.src.rpm Building target platforms: x86_64 Building for target x86_64 setting SOURCE_DATE_EPOCH=1785888000 Executing(mkbuilddir): /bin/sh -e /var/tmp/rpm-tmp.MzHxvX Creating(rpmbuild.env): /builddir/build/BUILD/python-scikit-learn-1.8.0-build/rpmbuild.env RPM_SOURCE_DIR="/builddir/build/SOURCES" RPM_BUILD_DIR="/builddir/build/BUILD/python-scikit-learn-1.8.0-build" RPM_OPT_FLAGS="-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wno-complain-wrong-lang -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" RPM_LD_FLAGS="-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 " RPM_ARCH="x86_64" RPM_OS="linux" RPM_BUILD_NCPUS="4" RPM_SPECPARTS_DIR="/builddir/build/BUILD/python-scikit-learn-1.8.0-build/SPECPARTS" export RPM_SOURCE_DIR RPM_BUILD_DIR RPM_OPT_FLAGS RPM_ARCH RPM_OS RPM_BUILD_NCPUS RPM_SPECPARTS_DIR RPM_LD_FLAGS RPM_DOC_DIR="/usr/share/doc" export RPM_DOC_DIR RPM_PACKAGE_NAME="python-scikit-learn" RPM_PACKAGE_VERSION="1.8.0" RPM_PACKAGE_RELEASE="2.fc46" export RPM_PACKAGE_NAME RPM_PACKAGE_VERSION RPM_PACKAGE_RELEASE LANG=C.UTF-8 export LANG unset CDPATH DISPLAY ||: unset DEBUGINFOD_URLS ||: unset RPM_CONFIG_DIR ||: RPM_BUILD_ROOT="/builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT" export RPM_BUILD_ROOT PKG_CONFIG_PATH="${PKG_CONFIG_PATH}:/usr/lib64/pkgconfig:/usr/share/pkgconfig" export PKG_CONFIG_PATH CONFIG_SITE=${CONFIG_SITE:-NONE} export CONFIG_SITE Executing(%prep): /bin/sh -e /var/tmp/rpm-tmp.GAw5p6 + umask 022 + cd /builddir/build/BUILD/python-scikit-learn-1.8.0-build + cd /builddir/build/BUILD/python-scikit-learn-1.8.0-build + rm -rf scikit_learn-1.8.0 + /usr/bin/rpmuncompress -x /builddir/build/SOURCES/scikit_learn-1.8.0.tar.gz + STATUS=0 + '[' 0 -ne 0 ']' + cd scikit_learn-1.8.0 + /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|scipy>=1.10.0,<1.17.0|scipy|' 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' + sed -r -i 's/"(meson-python[^"]+.*),<[^"]+"/"\1"/' pyproject.toml + RPM_EC=0 ++ jobs -p + exit 0 Executing(%generate_buildrequires): /bin/sh -e /var/tmp/rpm-tmp.opjF2w + umask 022 + cd /builddir/build/BUILD/python-scikit-learn-1.8.0-build + cd scikit_learn-1.8.0 + echo pyproject-rpm-macros + echo python3-devel + echo 'python3dist(packaging)' + echo 'python3dist(pip) >= 19' + '[' -f pyproject.toml ']' + echo '(python3dist(tomli) if python3-devel < 3.11)' + rm -rfv '*.dist-info/' + '[' -f /usr/bin/python3 ']' + mkdir -p /builddir/build/BUILD/python-scikit-learn-1.8.0-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-build/.pyproject-builddir + RPM_TOXENV=py315 + FEDORA=46 + 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-build/pyproject-wheeldir --output /builddir/build/BUILD/python-scikit-learn-1.8.0-build/python-scikit-learn-1.8.0-2.fc46.x86_64-pyproject-buildrequires --dep-overrides-file /builddir/build/BUILD/python-scikit-learn-1.8.0-build/python-scikit-learn-1.8.0-2.fc46.x86_64-pyproject-dep-overrides -p Handling meson-python>=0.17.1 from build-system.requires Requirement not satisfied: meson-python>=0.17.1 Handling cython>=3.0.9,<3.3.0 from build-system.requires Requirement not satisfied: cython<3.3.0,>=3.0.9 Handling numpy from build-system.requires Requirement not satisfied: numpy Handling scipy from build-system.requires Requirement not satisfied: scipy Exiting dependency generation pass: build backend + cat /builddir/build/BUILD/python-scikit-learn-1.8.0-build/python-scikit-learn-1.8.0-2.fc46.x86_64-pyproject-buildrequires + rm -rfv '*.dist-info/' + RPM_EC=0 ++ jobs -p + exit 0 Wrote: /builddir/build/SRPMS/python-scikit-learn-1.8.0-2.fc46.buildreqs.nosrc.rpm INFO: Going to install missing dynamic buildrequires Updating and loading repositories: Additional repo http_kojipkgs_fedorapr 100% | 50.2 KiB/s | 3.9 KiB | 00m00s fedora 100% | 105.1 KiB/s | 20.9 KiB | 00m00s Copr repository 100% | 20.0 KiB/s | 1.5 KiB | 00m00s Repositories loaded. Package "gcc-16.2.1-2.fc46.1.x86_64" is already installed. Package "gcc-c++-16.2.1-2.fc46.1.x86_64" is already installed. Package "pyproject-rpm-macros-1.23.2-1.fc45.noarch" is already installed. Package "python3-devel-3.15.0-1.fc46.x86_64" is already installed. Package "python3-joblib-1.6.0-1.fc46.noarch" is already installed. Package "python3-packaging-26.3-2.fc46.noarch" is already installed. Package "python3-psutil-7.2.2-12.fc46.x86_64" is already installed. Package "python3-pytest-9.1.1-1.fc46.noarch" is already installed. Package "python3-setuptools-84.0.0-3.fc46.noarch" is already installed. Package "python3-threadpoolctl-3.5.0-14.fc46.noarch" is already installed. Package Arch Version Repository Size Installing: python3-cython x86_64 0:3.2.8-4.fc46 copr_base 19.3 MiB python3-meson-python noarch 0:0.22.1-1.fc46 copr_base 380.1 KiB python3-numpy x86_64 1:2.5.3-1.fc46 copr_base 43.0 MiB python3-pip noarch 0:26.2.1-3.fc46 copr_base 12.3 MiB python3-scipy x86_64 0:1.18.0-3.fc46 copr_base 65.2 MiB Installing dependencies: flexiblas x86_64 0:3.5.0-4.fc46 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 38.0 KiB flexiblas-netlib x86_64 0:3.5.0-4.fc46 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 16.3 MiB flexiblas-openblas-openmp x86_64 0:3.5.0-4.fc46 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 39.1 KiB libgfortran x86_64 0:16.2.1-2.fc46.1 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 3.4 MiB libquadmath x86_64 0:16.2.1-2.fc46.1 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 321.9 KiB meson noarch 0:1.12.1-2.fc46 copr_base 14.9 MiB ninja-build x86_64 0:1.13.2-6.fc46 copr_base 497.5 KiB openblas x86_64 0:0.3.34-1.fc45 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 138.1 KiB openblas-openmp x86_64 0:0.3.34-1.fc45 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 44.8 MiB patchelf x86_64 0:0.19.1-2.fc45 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 330.9 KiB python3-charset-normalizer noarch 0:3.5.1-1.fc46 copr_base 477.3 KiB python3-idna noarch 0:3.19-1.fc46 copr_base 510.6 KiB python3-numpy-f2py x86_64 1:2.5.3-1.fc46 copr_base 2.1 MiB python3-platformdirs noarch 0:4.9.1-4.fc46 copr_base 244.3 KiB python3-pooch noarch 0:1.9.0-3.fc46 copr_base 659.5 KiB python3-pyproject-metadata noarch 0:0.12.1-2.fc46 copr_base 242.1 KiB python3-requests noarch 0:2.34.2-2.fc46 copr_base 679.2 KiB python3-urllib3 noarch 0:2.8.0-1.fc46 copr_base 1.2 MiB vim-filesystem noarch 2:9.2.1129-1.fc46 http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch 40.0 B Transaction Summary: Installing: 24 packages Total size of inbound packages is 47 MiB. Need to download 44 MiB. After this operation, 227 MiB extra will be used (install 227 MiB, remove 0 B). [ 1/24] python3-pip-0:26.2.1-3.fc46.noa 100% | 0.0 B/s | 0.0 B | 00m00s >>> Already downloaded [ 2/24] python3-platformdirs-0:4.9.1-4. 100% | 0.0 B/s | 0.0 B | 00m00s >>> Already downloaded [ 3/24] python3-requests-0:2.34.2-2.fc4 100% | 0.0 B/s | 0.0 B | 00m00s >>> Already downloaded [ 4/24] python3-charset-normalizer-0:3. 100% | 0.0 B/s | 0.0 B | 00m00s >>> Already downloaded [ 5/24] python3-idna-0:3.19-1.fc46.noar 100% | 0.0 B/s | 0.0 B | 00m00s >>> Already downloaded [ 6/24] python3-urllib3-0:2.8.0-1.fc46. 100% | 0.0 B/s | 0.0 B | 00m00s >>> Already downloaded [ 7/24] python3-meson-python-0:0.22.1-1 100% | 7.3 MiB/s | 97.0 KiB | 00m00s [ 8/24] python3-numpy-1:2.5.3-1.fc46.x8 100% | 164.8 MiB/s | 8.2 MiB | 00m00s [ 9/24] python3-scipy-0:1.18.0-3.fc46.x 100% | 276.5 MiB/s | 16.6 MiB | 00m00s [10/24] python3-cython-0:3.2.8-4.fc46.x 100% | 51.5 MiB/s | 4.1 MiB | 00m00s [11/24] python3-numpy-f2py-1:2.5.3-1.fc 100% | 228.8 MiB/s | 468.5 KiB | 00m00s [12/24] python3-pooch-0:1.9.0-3.fc46.no 100% | 65.3 MiB/s | 133.8 KiB | 00m00s [13/24] meson-0:1.12.1-2.fc46.noarch 100% | 172.0 MiB/s | 2.6 MiB | 00m00s [14/24] patchelf-0:0.19.1-2.fc45.x86_64 100% | 1.2 MiB/s | 146.0 KiB | 00m00s [15/24] python3-pyproject-metadata-0:0. 100% | 32.0 MiB/s | 65.6 KiB | 00m00s [16/24] ninja-build-0:1.13.2-6.fc46.x86 100% | 99.1 MiB/s | 203.0 KiB | 00m00s [17/24] libgfortran-0:16.2.1-2.fc46.1.x 100% | 5.8 MiB/s | 987.1 KiB | 00m00s [18/24] flexiblas-0:3.5.0-4.fc46.x86_64 100% | 705.6 KiB/s | 22.6 KiB | 00m00s [19/24] flexiblas-openblas-openmp-0:3.5 100% | 484.6 KiB/s | 16.5 KiB | 00m00s [20/24] flexiblas-netlib-0:3.5.0-4.fc46 100% | 18.6 MiB/s | 4.5 MiB | 00m00s [21/24] libquadmath-0:16.2.1-2.fc46.1.x 100% | 4.1 MiB/s | 207.7 KiB | 00m00s [22/24] vim-filesystem-2:9.2.1129-1.fc4 100% | 361.8 KiB/s | 15.6 KiB | 00m00s [23/24] openblas-0:0.3.34-1.fc45.x86_64 100% | 891.7 KiB/s | 48.2 KiB | 00m00s [24/24] openblas-openmp-0:0.3.34-1.fc45 100% | 39.8 MiB/s | 5.5 MiB | 00m00s -------------------------------------------------------------------------------- [24/24] Total 100% | 100.7 MiB/s | 43.8 MiB | 00m00s Running transaction [ 1/26] Verify package files 100% | 97.0 B/s | 24.0 B | 00m00s [ 2/26] Prepare transaction 100% | 489.0 B/s | 24.0 B | 00m00s [ 3/26] Installing libgfortran-0:16.2.1 100% | 425.3 MiB/s | 3.4 MiB | 00m00s [ 4/26] Installing python3-idna-0:3.19- 100% | 29.8 MiB/s | 518.5 KiB | 00m00s [ 5/26] Installing python3-urllib3-0:2. 100% | 300.3 MiB/s | 1.2 MiB | 00m00s [ 6/26] Installing openblas-0:0.3.34-1. 100% | 0.0 B/s | 139.9 KiB | 00m00s [ 7/26] Installing openblas-openmp-0:0. 100% | 658.3 MiB/s | 44.8 MiB | 00m00s [ 8/26] Installing vim-filesystem-2:9.2 100% | 4.7 MiB/s | 4.8 KiB | 00m00s [ 9/26] Installing ninja-build-0:1.13.2 100% | 28.8 MiB/s | 500.6 KiB | 00m00s [10/26] Installing meson-0:1.12.1-2.fc4 100% | 295.8 MiB/s | 15.1 MiB | 00m00s [11/26] Installing python3-charset-norm 100% | 29.8 MiB/s | 487.4 KiB | 00m00s [12/26] Installing python3-requests-0:2 100% | 225.3 MiB/s | 692.0 KiB | 00m00s [13/26] Installing libquadmath-0:16.2.1 100% | 315.6 MiB/s | 323.2 KiB | 00m00s [14/26] Installing flexiblas-netlib-0:3 100% | 326.0 MiB/s | 16.3 MiB | 00m00s [15/26] Installing flexiblas-0:3.5.0-4. 100% | 0.0 B/s | 39.2 KiB | 00m00s [16/26] Installing flexiblas-openblas-o 100% | 19.5 MiB/s | 40.0 KiB | 00m00s [17/26] Installing python3-numpy-1:2.5. 100% | 376.9 MiB/s | 43.3 MiB | 00m00s [18/26] Installing python3-numpy-f2py-1 100% | 95.4 MiB/s | 2.2 MiB | 00m00s [19/26] Installing python3-pyproject-me 100% | 242.0 MiB/s | 247.8 KiB | 00m00s [20/26] Installing patchelf-0:0.19.1-2. 100% | 21.7 MiB/s | 332.7 KiB | 00m00s [21/26] Installing python3-platformdirs 100% | 245.4 MiB/s | 251.3 KiB | 00m00s [22/26] Installing python3-pooch-0:1.9. 100% | 109.9 MiB/s | 675.5 KiB | 00m00s [23/26] Installing python3-scipy-0:1.18 100% | 397.8 MiB/s | 65.6 MiB | 00m00s [24/26] Installing python3-meson-python 100% | 94.1 MiB/s | 385.5 KiB | 00m00s [25/26] Installing python3-pip-0:26.2.1 100% | 205.5 MiB/s | 12.5 MiB | 00m00s [26/26] Installing python3-cython-0:3.2 100% | 183.6 MiB/s | 19.5 MiB | 00m00s Warning: skipped OpenPGP checks for 24 packages from repositories: copr_base, http_kojipkgs_fedoraproject_org_repos_rawhide_latest_basearch Complete! Building target platforms: x86_64 Building for target x86_64 setting SOURCE_DATE_EPOCH=1785888000 Executing(%generate_buildrequires): /bin/sh -e /var/tmp/rpm-tmp.O5FUBa + umask 022 + cd /builddir/build/BUILD/python-scikit-learn-1.8.0-build + cd scikit_learn-1.8.0 + echo pyproject-rpm-macros + echo python3-devel + echo 'python3dist(packaging)' + echo 'python3dist(pip) >= 19' + '[' -f pyproject.toml ']' + echo '(python3dist(tomli) if python3-devel < 3.11)' + rm -rfv '*.dist-info/' + '[' -f /usr/bin/python3 ']' + mkdir -p /builddir/build/BUILD/python-scikit-learn-1.8.0-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-build/.pyproject-builddir + RPM_TOXENV=py315 + FEDORA=46 + 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-build/pyproject-wheeldir --output /builddir/build/BUILD/python-scikit-learn-1.8.0-build/python-scikit-learn-1.8.0-2.fc46.x86_64-pyproject-buildrequires --dep-overrides-file /builddir/build/BUILD/python-scikit-learn-1.8.0-build/python-scikit-learn-1.8.0-2.fc46.x86_64-pyproject-dep-overrides -p Handling meson-python>=0.17.1 from build-system.requires Requirement satisfied: meson-python>=0.17.1 (installed: meson-python 0.22.1) Handling cython>=3.0.9,<3.3.0 from build-system.requires Requirement satisfied: cython<3.3.0,>=3.0.9 (installed: cython 3.2.8) Handling numpy from build-system.requires Requirement satisfied: numpy (installed: numpy 2.5.3) Handling scipy from build-system.requires Requirement satisfied: scipy (installed: scipy 1.18.0) Handling numpy>=1.24.1 from pyproject.toml generated metadata: [dependencies] (scikit-learn) Requirement satisfied: numpy>=1.24.1 (installed: numpy 2.5.3) Handling scipy>=1.10.0 from pyproject.toml generated metadata: [dependencies] (scikit-learn) Requirement satisfied: scipy>=1.10.0 (installed: scipy 1.18.0) Handling joblib>=1.3.0 from pyproject.toml generated metadata: [dependencies] (scikit-learn) Requirement satisfied: joblib>=1.3.0 (installed: joblib 1.6.0) 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-build/python-scikit-learn-1.8.0-2.fc46.x86_64-pyproject-buildrequires + rm -rfv '*.dist-info/' + RPM_EC=0 ++ jobs -p + exit 0 Wrote: /builddir/build/SRPMS/python-scikit-learn-1.8.0-2.fc46.buildreqs.nosrc.rpm INFO: Going to install missing dynamic buildrequires Updating and loading repositories: Additional repo http_kojipkgs_fedorapr 100% | 49.0 KiB/s | 3.9 KiB | 00m00s fedora 100% | 135.8 KiB/s | 20.9 KiB | 00m00s Copr repository 100% | 19.5 KiB/s | 1.5 KiB | 00m00s Repositories loaded. Nothing to do. Package "gcc-16.2.1-2.fc46.1.x86_64" is already installed. Package "gcc-c++-16.2.1-2.fc46.1.x86_64" is already installed. Package "pyproject-rpm-macros-1.23.2-1.fc45.noarch" is already installed. Package "python3-devel-3.15.0-1.fc46.x86_64" is already installed. Package "python3-joblib-1.6.0-1.fc46.noarch" is already installed. Package "python3-joblib-1.6.0-1.fc46.noarch" is already installed. Package "python3-meson-python-0.22.1-1.fc46.noarch" is already installed. Package "python3-numpy-1:2.5.3-1.fc46.x86_64" is already installed. Package "python3-numpy-1:2.5.3-1.fc46.x86_64" is already installed. Package "python3-packaging-26.3-2.fc46.noarch" is already installed. Package "python3-pip-26.2.1-3.fc46.noarch" is already installed. Package "python3-psutil-7.2.2-12.fc46.x86_64" is already installed. Package "python3-pytest-9.1.1-1.fc46.noarch" is already installed. Package "python3-scipy-1.18.0-3.fc46.x86_64" is already installed. Package "python3-scipy-1.18.0-3.fc46.x86_64" is already installed. Package "python3-setuptools-84.0.0-3.fc46.noarch" is already installed. Package "python3-threadpoolctl-3.5.0-14.fc46.noarch" is already installed. Package "python3-threadpoolctl-3.5.0-14.fc46.noarch" is already installed. Building target platforms: x86_64 Building for target x86_64 setting SOURCE_DATE_EPOCH=1785888000 Executing(%generate_buildrequires): /bin/sh -e /var/tmp/rpm-tmp.TJ2mPL + umask 022 + cd /builddir/build/BUILD/python-scikit-learn-1.8.0-build + cd scikit_learn-1.8.0 + echo pyproject-rpm-macros + echo python3-devel + echo 'python3dist(packaging)' + echo 'python3dist(pip) >= 19' + '[' -f pyproject.toml ']' + echo '(python3dist(tomli) if python3-devel < 3.11)' + rm -rfv '*.dist-info/' + '[' -f /usr/bin/python3 ']' + mkdir -p /builddir/build/BUILD/python-scikit-learn-1.8.0-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-build/.pyproject-builddir + RPM_TOXENV=py315 + FEDORA=46 + 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-build/pyproject-wheeldir --output /builddir/build/BUILD/python-scikit-learn-1.8.0-build/python-scikit-learn-1.8.0-2.fc46.x86_64-pyproject-buildrequires --dep-overrides-file /builddir/build/BUILD/python-scikit-learn-1.8.0-build/python-scikit-learn-1.8.0-2.fc46.x86_64-pyproject-dep-overrides -p Handling meson-python>=0.17.1 from build-system.requires Requirement satisfied: meson-python>=0.17.1 (installed: meson-python 0.22.1) Handling cython>=3.0.9,<3.3.0 from build-system.requires Requirement satisfied: cython<3.3.0,>=3.0.9 (installed: cython 3.2.8) Handling numpy from build-system.requires Requirement satisfied: numpy (installed: numpy 2.5.3) Handling scipy from build-system.requires Requirement satisfied: scipy (installed: scipy 1.18.0) Handling numpy>=1.24.1 from pyproject.toml generated metadata: [dependencies] (scikit-learn) Requirement satisfied: numpy>=1.24.1 (installed: numpy 2.5.3) Handling scipy>=1.10.0 from pyproject.toml generated metadata: [dependencies] (scikit-learn) Requirement satisfied: scipy>=1.10.0 (installed: scipy 1.18.0) Handling joblib>=1.3.0 from pyproject.toml generated metadata: [dependencies] (scikit-learn) Requirement satisfied: joblib>=1.3.0 (installed: joblib 1.6.0) 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-build/python-scikit-learn-1.8.0-2.fc46.x86_64-pyproject-buildrequires + rm -rfv '*.dist-info/' + RPM_EC=0 ++ jobs -p + exit 0 Executing(%build): /bin/sh -e /var/tmp/rpm-tmp.K1o9F1 + umask 022 + cd /builddir/build/BUILD/python-scikit-learn-1.8.0-build + CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CFLAGS + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CXXFLAGS + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FFLAGS + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FCFLAGS + VALAFLAGS=-g + export VALAFLAGS + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + export RUSTFLAGS + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-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-1.8.0 + mkdir -p /builddir/build/BUILD/python-scikit-learn-1.8.0-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-build/.pyproject-builddir + /usr/bin/python3 -Bs /usr/lib/rpm/redhat/pyproject_wheel.py /builddir/build/BUILD/python-scikit-learn-1.8.0-build/pyproject-wheeldir Processing ./. Preparing metadata (pyproject.toml): started Running command Preparing metadata (pyproject.toml) + meson setup /builddir/build/BUILD/python-scikit-learn-1.8.0-build/scikit_learn-1.8.0 /builddir/build/BUILD/python-scikit-learn-1.8.0-build/scikit_learn-1.8.0/.mesonpy-o56sfim7 -Dbuildtype=release -Db_ndebug=if-release -Db_vscrt=md --native-file=/builddir/build/BUILD/python-scikit-learn-1.8.0-build/scikit_learn-1.8.0/.mesonpy-o56sfim7/meson-python-native-file.ini The Meson build system Version: 1.12.1 Source dir: /builddir/build/BUILD/python-scikit-learn-1.8.0-build/scikit_learn-1.8.0 Build dir: /builddir/build/BUILD/python-scikit-learn-1.8.0-build/scikit_learn-1.8.0/.mesonpy-o56sfim7 Build type: native build Project name: scikit-learn Project version: 1.8.0 C compiler for the host machine: gcc (gcc 16.2.1 "gcc (GCC) 16.2.1 20260819 (Red Hat 16.2.1-2)") C linker for the host machine: gcc ld.bfd 2.47.50.20260921 C++ compiler for the host machine: g++ (gcc 16.2.1 "g++ (GCC) 16.2.1 20260819 (Red Hat 16.2.1-2)") C++ linker for the host machine: g++ ld.bfd 2.47.50.20260921 Cython compiler for the host machine: cython (cython 3.2.8) 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-build/scikit_learn-1.8.0/sklearn/_build_utils/tempita.py) Program python found: YES (/usr/bin/python3) Run-time dependency OpenMP for c found: YES 5.2 Program cython found: YES (/usr/bin/cython) Found pkg-config: YES (/usr/bin/pkg-config) 2.5.1 Run-time dependency python found: YES 3.15 Build targets in project: 112 scikit-learn 1.8.0 User defined options Native files: /builddir/build/BUILD/python-scikit-learn-1.8.0-build/scikit_learn-1.8.0/.mesonpy-o56sfim7/meson-python-native-file.ini b_ndebug : if-release b_vscrt : md buildtype : release Found ninja-1.13.2 at /usr/bin/ninja + /usr/bin/ninja [1/253] Copying file sklearn/_loss/_loss.pxd [2/253] Copying file sklearn/utils/__init__.py [3/253] Copying file sklearn/utils/_sorting.pxd [4/253] Copying file sklearn/__init__.py [5/253] Copying file sklearn/utils/_heap.pxd [6/253] Copying file sklearn/utils/_random.pxd [7/253] Copying file sklearn/utils/_cython_blas.pxd [8/253] Copying file sklearn/utils/_openmp_helpers.pxd [9/253] Generating sklearn/utils/_weight_vector_pxd with a custom command [10/253] Copying file sklearn/utils/_vector_sentinel.pxd [11/253] Copying file sklearn/utils/_typedefs.pxd [12/253] Generating sklearn/metrics/_dist_metrics_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] Generating sklearn/metrics/_pairwise_distances_reduction/_base_pxd with a custom command [17/253] Generating sklearn/metrics/_pairwise_distances_reduction/_datasets_pair_pxd with a custom command [18/253] Copying file sklearn/metrics/_pairwise_distances_reduction/_classmode.pxd [19/253] Generating sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors_pxd with a custom command [20/253] Generating sklearn/metrics/_pairwise_distances_reduction/_middle_term_computer_pxd with a custom command [21/253] Generating sklearn/metrics/_pairwise_distances_reduction/_argkmin_pxd with a custom command [22/253] Copying file sklearn/neighbors/__init__.py [23/253] Copying file sklearn/neighbors/_partition_nodes.pxd [24/253] Copying file sklearn/linear_model/__init__.py [25/253] Generating sklearn/neighbors/_binary_tree_pxi with a custom command [26/253] Generating sklearn/utils/_weight_vector_pyx with a custom command [27/253] Generating sklearn/metrics/_pairwise_distances_reduction/_base_pyx with a custom command [28/253] Generating sklearn/utils/_seq_dataset_pyx with a custom command [29/253] Generating sklearn/_loss/_loss_pyx with a custom command [30/253] Generating sklearn/metrics/_pairwise_distances_reduction/_middle_term_computer_pyx with a custom command [31/253] Generating sklearn/metrics/_pairwise_distances_reduction/_datasets_pair_pyx with a custom command [32/253] Generating sklearn/metrics/_dist_metrics_pyx with a custom command [33/253] Generating sklearn/metrics/_pairwise_distances_reduction/_argkmin_pyx with a custom command [34/253] Generating sklearn/linear_model/_sgd_fast_pyx with a custom command [35/253] Generating sklearn/neighbors/_ball_tree_pyx with a custom command [36/253] Generating sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors_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/linear_model/_sag_fast_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-315-x86_64-linux-gnu.so.p/_check_build.c' [42/253] Generating sklearn/_cyutility.c with a custom command [43/253] Generating 'sklearn/_isotonic.cpython-315-x86_64-linux-gnu.so.p/_isotonic.c' [44/253] Generating 'sklearn/utils/_cython_blas.cpython-315-x86_64-linux-gnu.so.p/_cython_blas.c' [45/253] Generating 'sklearn/utils/sparsefuncs_fast.cpython-315-x86_64-linux-gnu.so.p/sparsefuncs_fast.c' [46/253] Generating 'sklearn/utils/murmurhash.cpython-315-x86_64-linux-gnu.so.p/murmurhash.c' [47/253] Generating 'sklearn/utils/_fast_dict.cpython-315-x86_64-linux-gnu.so.p/_fast_dict.cpp' [48/253] Generating 'sklearn/utils/arrayfuncs.cpython-315-x86_64-linux-gnu.so.p/arrayfuncs.c' [49/253] Generating 'sklearn/utils/_openmp_helpers.cpython-315-x86_64-linux-gnu.so.p/_openmp_helpers.c' [50/253] Generating 'sklearn/utils/_random.cpython-315-x86_64-linux-gnu.so.p/_random.c' [51/253] Generating 'sklearn/utils/_heap.cpython-315-x86_64-linux-gnu.so.p/_heap.c' [52/253] Generating 'sklearn/utils/_sorting.cpython-315-x86_64-linux-gnu.so.p/_sorting.c' [53/253] Generating 'sklearn/utils/_typedefs.cpython-315-x86_64-linux-gnu.so.p/_typedefs.c' [54/253] Generating 'sklearn/utils/_vector_sentinel.cpython-315-x86_64-linux-gnu.so.p/_vector_sentinel.cpp' [55/253] Generating 'sklearn/utils/_isfinite.cpython-315-x86_64-linux-gnu.so.p/_isfinite.c' [56/253] Generating 'sklearn/utils/_weight_vector.cpython-315-x86_64-linux-gnu.so.p/_weight_vector.c' [57/253] Generating 'sklearn/utils/_seq_dataset.cpython-315-x86_64-linux-gnu.so.p/_seq_dataset.c' [58/253] Generating 'sklearn/metrics/_pairwise_fast.cpython-315-x86_64-linux-gnu.so.p/_pairwise_fast.c' [59/253] Generating 'sklearn/_loss/_loss.cpython-315-x86_64-linux-gnu.so.p/_loss.c' [60/253] Generating 'sklearn/metrics/_pairwise_distances_reduction/_base.cpython-315-x86_64-linux-gnu.so.p/_base.cpp' [61/253] Generating 'sklearn/metrics/_pairwise_distances_reduction/_datasets_pair.cpython-315-x86_64-linux-gnu.so.p/_datasets_pair.cpp' [62/253] Generating 'sklearn/metrics/_pairwise_distances_reduction/_middle_term_computer.cpython-315-x86_64-linux-gnu.so.p/_middle_term_computer.cpp' [63/253] Generating 'sklearn/metrics/_pairwise_distances_reduction/_argkmin.cpython-315-x86_64-linux-gnu.so.p/_argkmin.cpp' [64/253] Generating 'sklearn/metrics/_dist_metrics.cpython-315-x86_64-linux-gnu.so.p/_dist_metrics.c' [65/253] Generating 'sklearn/metrics/_pairwise_distances_reduction/_argkmin_classmode.cpython-315-x86_64-linux-gnu.so.p/_argkmin_classmode.cpp' [66/253] Generating 'sklearn/metrics/cluster/_expected_mutual_info_fast.cpython-315-x86_64-linux-gnu.so.p/_expected_mutual_info_fast.c' [67/253] Generating 'sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors_classmode.cpython-315-x86_64-linux-gnu.so.p/_radius_neighbors_classmode.cpp' [68/253] Generating 'sklearn/cluster/_dbscan_inner.cpython-315-x86_64-linux-gnu.so.p/_dbscan_inner.cpp' [69/253] Generating 'sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors.cpython-315-x86_64-linux-gnu.so.p/_radius_neighbors.cpp' [70/253] Generating 'sklearn/cluster/_k_means_common.cpython-315-x86_64-linux-gnu.so.p/_k_means_common.c' [71/253] Generating 'sklearn/cluster/_hierarchical_fast.cpython-315-x86_64-linux-gnu.so.p/_hierarchical_fast.cpp' [72/253] Generating 'sklearn/cluster/_k_means_minibatch.cpython-315-x86_64-linux-gnu.so.p/_k_means_minibatch.c' [73/253] Generating 'sklearn/cluster/_k_means_lloyd.cpython-315-x86_64-linux-gnu.so.p/_k_means_lloyd.c' [74/253] Generating 'sklearn/cluster/_k_means_elkan.cpython-315-x86_64-linux-gnu.so.p/_k_means_elkan.c' [75/253] Generating 'sklearn/cluster/_hdbscan/_linkage.cpython-315-x86_64-linux-gnu.so.p/_linkage.c' [76/253] Generating 'sklearn/cluster/_hdbscan/_reachability.cpython-315-x86_64-linux-gnu.so.p/_reachability.c' [77/253] Generating 'sklearn/cluster/_hdbscan/_tree.cpython-315-x86_64-linux-gnu.so.p/_tree.c' [78/253] Generating 'sklearn/decomposition/_online_lda_fast.cpython-315-x86_64-linux-gnu.so.p/_online_lda_fast.c' [79/253] Generating 'sklearn/decomposition/_cdnmf_fast.cpython-315-x86_64-linux-gnu.so.p/_cdnmf_fast.c' [80/253] Generating 'sklearn/ensemble/_hist_gradient_boosting/_gradient_boosting.cpython-315-x86_64-linux-gnu.so.p/_gradient_boosting.c' [81/253] Generating 'sklearn/datasets/_svmlight_format_fast.cpython-315-x86_64-linux-gnu.so.p/_svmlight_format_fast.c' [82/253] Generating 'sklearn/ensemble/_gradient_boosting.cpython-315-x86_64-linux-gnu.so.p/_gradient_boosting.c' [83/253] Generating 'sklearn/ensemble/_hist_gradient_boosting/histogram.cpython-315-x86_64-linux-gnu.so.p/histogram.c' [84/253] Generating 'sklearn/ensemble/_hist_gradient_boosting/splitting.cpython-315-x86_64-linux-gnu.so.p/splitting.c' [85/253] Generating 'sklearn/ensemble/_hist_gradient_boosting/_binning.cpython-315-x86_64-linux-gnu.so.p/_binning.c' [86/253] Generating 'sklearn/ensemble/_hist_gradient_boosting/_predictor.cpython-315-x86_64-linux-gnu.so.p/_predictor.c' [87/253] Generating 'sklearn/ensemble/_hist_gradient_boosting/common.cpython-315-x86_64-linux-gnu.so.p/common.c' [88/253] Generating 'sklearn/ensemble/_hist_gradient_boosting/_bitset.cpython-315-x86_64-linux-gnu.so.p/_bitset.c' [89/253] Generating 'sklearn/feature_extraction/_hashing_fast.cpython-315-x86_64-linux-gnu.so.p/_hashing_fast.cpp' [90/253] Generating 'sklearn/manifold/_utils.cpython-315-x86_64-linux-gnu.so.p/_utils.c' [91/253] Generating 'sklearn/manifold/_barnes_hut_tsne.cpython-315-x86_64-linux-gnu.so.p/_barnes_hut_tsne.c' [92/253] Generating 'sklearn/linear_model/_sag_fast.cpython-315-x86_64-linux-gnu.so.p/_sag_fast.c' [93/253] Generating 'sklearn/linear_model/_sgd_fast.cpython-315-x86_64-linux-gnu.so.p/_sgd_fast.c' [94/253] Generating 'sklearn/linear_model/_cd_fast.cpython-315-x86_64-linux-gnu.so.p/_cd_fast.c' [95/253] Generating 'sklearn/neighbors/_partition_nodes.cpython-315-x86_64-linux-gnu.so.p/_partition_nodes.cpp' [96/253] Generating 'sklearn/preprocessing/_csr_polynomial_expansion.cpython-315-x86_64-linux-gnu.so.p/_csr_polynomial_expansion.c' [97/253] Generating 'sklearn/svm/_newrand.cpython-315-x86_64-linux-gnu.so.p/_newrand.cpp' [98/253] Generating 'sklearn/neighbors/_ball_tree.cpython-315-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 [99/253] Generating 'sklearn/neighbors/_quad_tree.cpython-315-x86_64-linux-gnu.so.p/_quad_tree.c' [100/253] Generating 'sklearn/preprocessing/_target_encoder_fast.cpython-315-x86_64-linux-gnu.so.p/_target_encoder_fast.cpp' [101/253] Generating 'sklearn/neighbors/_kd_tree.cpython-315-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 [102/253] Compiling C++ object sklearn/svm/libliblinear-skl.a.p/src_liblinear_tron.cpp.o [103/253] Generating 'sklearn/svm/_libsvm.cpython-315-x86_64-linux-gnu.so.p/_libsvm.c' [104/253] Generating 'sklearn/svm/_libsvm_sparse.cpython-315-x86_64-linux-gnu.so.p/_libsvm_sparse.c' [105/253] Generating 'sklearn/svm/_liblinear.cpython-315-x86_64-linux-gnu.so.p/_liblinear.c' [106/253] Generating 'sklearn/tree/_splitter.cpython-315-x86_64-linux-gnu.so.p/_splitter.c' [107/253] Generating 'sklearn/tree/_partitioner.cpython-315-x86_64-linux-gnu.so.p/_partitioner.c' [108/253] Compiling C++ object sklearn/svm/libliblinear-skl.a.p/src_liblinear_linear.cpp.o [109/253] Generating 'sklearn/tree/_criterion.cpython-315-x86_64-linux-gnu.so.p/_criterion.c' [110/253] Generating 'sklearn/tree/_tree.cpython-315-x86_64-linux-gnu.so.p/_tree.cpp' [111/253] Generating 'sklearn/tree/_utils.cpython-315-x86_64-linux-gnu.so.p/_utils.c' [112/253] Compiling C object sklearn/__check_build/_check_build.cpython-315-x86_64-linux-gnu.so.p/meson-generated__check_build.c.o [113/253] 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 ‘void svm::solve_epsilon_svr(const svm_problem*, const svm_parameter*, double*, Solver::SolutionInfo*, BlasFunctions*)’: ../sklearn/svm/src/libsvm/svm.cpp:1781:16: warning: variable ‘sum_alpha’ set but not used [-Wunused-but-set-variable=] 1781 | double sum_alpha = 0; | ^~~~~~~~~ In file included from ../sklearn/svm/src/libsvm/libsvm_template.cpp:8: ../sklearn/svm/src/libsvm/svm.cpp: In function ‘void svm_csr::solve_epsilon_svr(const svm_csr_problem*, const svm_parameter*, double*, Solver::SolutionInfo*, BlasFunctions*)’: ../sklearn/svm/src/libsvm/svm.cpp:1781:16: warning: variable ‘sum_alpha’ set but not used [-Wunused-but-set-variable=] 1781 | double sum_alpha = 0; | ^~~~~~~~~ ../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; | ^~ ../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; | ^~ [114/253] Compiling C object sklearn/_isotonic.cpython-315-x86_64-linux-gnu.so.p/meson-generated__isotonic.c.o [115/253] Compiling C object sklearn/_cyutility.cpython-315-x86_64-linux-gnu.so.p/meson-generated_..__cyutility.c.o [116/253] Compiling C++ object sklearn/utils/murmurhash.cpython-315-x86_64-linux-gnu.so.p/src_MurmurHash3.cpp.o [117/253] Compiling C object sklearn/utils/arrayfuncs.cpython-315-x86_64-linux-gnu.so.p/meson-generated_arrayfuncs.c.o [118/253] Compiling C object sklearn/utils/_openmp_helpers.cpython-315-x86_64-linux-gnu.so.p/meson-generated__openmp_helpers.c.o [119/253] Compiling C object sklearn/utils/murmurhash.cpython-315-x86_64-linux-gnu.so.p/meson-generated_murmurhash.c.o [120/253] Compiling C object sklearn/utils/_cython_blas.cpython-315-x86_64-linux-gnu.so.p/meson-generated__cython_blas.c.o [121/253] Compiling C object sklearn/utils/_heap.cpython-315-x86_64-linux-gnu.so.p/meson-generated__heap.c.o [122/253] Compiling C++ object sklearn/utils/_fast_dict.cpython-315-x86_64-linux-gnu.so.p/meson-generated__fast_dict.cpp.o [123/253] Compiling C object sklearn/utils/_sorting.cpython-315-x86_64-linux-gnu.so.p/meson-generated__sorting.c.o [124/253] Compiling C object sklearn/utils/_typedefs.cpython-315-x86_64-linux-gnu.so.p/meson-generated__typedefs.c.o [125/253] Compiling C object sklearn/utils/_isfinite.cpython-315-x86_64-linux-gnu.so.p/meson-generated__isfinite.c.o [126/253] Compiling C object sklearn/utils/_random.cpython-315-x86_64-linux-gnu.so.p/meson-generated__random.c.o [127/253] Compiling C object sklearn/utils/_weight_vector.cpython-315-x86_64-linux-gnu.so.p/meson-generated__weight_vector.c.o [128/253] Compiling C++ object sklearn/utils/_vector_sentinel.cpython-315-x86_64-linux-gnu.so.p/meson-generated__vector_sentinel.cpp.o [129/253] Compiling C object sklearn/utils/_seq_dataset.cpython-315-x86_64-linux-gnu.so.p/meson-generated__seq_dataset.c.o [130/253] Compiling C object sklearn/metrics/_pairwise_fast.cpython-315-x86_64-linux-gnu.so.p/meson-generated__pairwise_fast.c.o [131/253] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_base.cpython-315-x86_64-linux-gnu.so.p/meson-generated__base.cpp.o sklearn/metrics/_pairwise_distances_reduction/_base.cpython-315-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-315-x86_64-linux-gnu.so.p/_base.cpp:9043:21: warning: ‘__pyx_v_thread_num’ is used uninitialized [-Wuninitialized] 9043 | #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-315-x86_64-linux-gnu.so.p/_base.cpp:9014:45: note: ‘__pyx_v_thread_num’ was declared here 9014 | __pyx_t_7sklearn_5utils_9_typedefs_intp_t __pyx_v_thread_num; | ^~~~~~~~~~~~~~~~~~ sklearn/metrics/_pairwise_distances_reduction/_base.cpython-315-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-315-x86_64-linux-gnu.so.p/_base.cpp:6215:21: warning: ‘__pyx_v_thread_num’ is used uninitialized [-Wuninitialized] 6215 | #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-315-x86_64-linux-gnu.so.p/_base.cpp:6186:45: note: ‘__pyx_v_thread_num’ was declared here 6186 | __pyx_t_7sklearn_5utils_9_typedefs_intp_t __pyx_v_thread_num; | ^~~~~~~~~~~~~~~~~~ sklearn/metrics/_pairwise_distances_reduction/_base.cpython-315-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-315-x86_64-linux-gnu.so.p/_base.cpp:9408:23: warning: ‘__pyx_v_thread_num’ may be used uninitialized [-Wmaybe-uninitialized] 9408 | #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-315-x86_64-linux-gnu.so.p/_base.cpp:9308:45: note: ‘__pyx_v_thread_num’ was declared here 9308 | __pyx_t_7sklearn_5utils_9_typedefs_intp_t __pyx_v_thread_num; | ^~~~~~~~~~~~~~~~~~ sklearn/metrics/_pairwise_distances_reduction/_base.cpython-315-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-315-x86_64-linux-gnu.so.p/_base.cpp:6580:23: warning: ‘__pyx_v_thread_num’ may be used uninitialized [-Wmaybe-uninitialized] 6580 | #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-315-x86_64-linux-gnu.so.p/_base.cpp:6480:45: note: ‘__pyx_v_thread_num’ was declared here 6480 | __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-315-x86_64-linux-gnu.so.p/_base.cpp:7997:113: sklearn/metrics/_pairwise_distances_reduction/_base.cpython-315-x86_64-linux-gnu.so.p/_base.cpp:4587:21: warning: ‘__pyx_v_thread_num’ may be used uninitialized [-Wmaybe-uninitialized] 4587 | #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-315-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-315-x86_64-linux-gnu.so.p/_base.cpp:4417:45: note: ‘__pyx_v_thread_num’ was declared here 4417 | __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-315-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-315-x86_64-linux-gnu.so.p/meson-generated__middle_term_computer.cpp.o [134/253] Compiling C object sklearn/utils/sparsefuncs_fast.cpython-315-x86_64-linux-gnu.so.p/meson-generated_sparsefuncs_fast.c.o [135/253] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_argkmin.cpython-315-x86_64-linux-gnu.so.p/meson-generated__argkmin.cpp.o sklearn/metrics/_pairwise_distances_reduction/_argkmin.cpython-315-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-315-x86_64-linux-gnu.so.p/_argkmin.cpp:6738:138: warning: ‘__pyx_clineno’ may be used uninitialized [-Wmaybe-uninitialized] 6738 | __pyx_parallel_filename = __pyx_filename; __pyx_parallel_lineno = __pyx_lineno; __pyx_parallel_clineno = __pyx_clineno; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ sklearn/metrics/_pairwise_distances_reduction/_argkmin.cpython-315-x86_64-linux-gnu.so.p/_argkmin.cpp:6613:7: note: ‘__pyx_clineno’ was declared here 6613 | int __pyx_clineno = 0; | ^~~~~~~~~~~~~ sklearn/metrics/_pairwise_distances_reduction/_argkmin.cpython-315-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-315-x86_64-linux-gnu.so.p/_argkmin.cpp:11162:138: warning: ‘__pyx_clineno’ may be used uninitialized [-Wmaybe-uninitialized] 11162 | __pyx_parallel_filename = __pyx_filename; __pyx_parallel_lineno = __pyx_lineno; __pyx_parallel_clineno = __pyx_clineno; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ sklearn/metrics/_pairwise_distances_reduction/_argkmin.cpython-315-x86_64-linux-gnu.so.p/_argkmin.cpp:11037:7: note: ‘__pyx_clineno’ was declared here 11037 | int __pyx_clineno = 0; | ^~~~~~~~~~~~~ [136/253] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_argkmin_classmode.cpython-315-x86_64-linux-gnu.so.p/meson-generated__argkmin_classmode.cpp.o [137/253] Compiling C object sklearn/metrics/_dist_metrics.cpython-315-x86_64-linux-gnu.so.p/meson-generated__dist_metrics.c.o [138/253] Compiling C object sklearn/metrics/cluster/_expected_mutual_info_fast.cpython-315-x86_64-linux-gnu.so.p/meson-generated__expected_mutual_info_fast.c.o [139/253] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors.cpython-315-x86_64-linux-gnu.so.p/meson-generated__radius_neighbors.cpp.o sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors.cpython-315-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-315-x86_64-linux-gnu.so.p/_radius_neighbors.cpp:9888:138: warning: ‘__pyx_clineno’ may be used uninitialized [-Wmaybe-uninitialized] 9888 | __pyx_parallel_filename = __pyx_filename; __pyx_parallel_lineno = __pyx_lineno; __pyx_parallel_clineno = __pyx_clineno; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors.cpython-315-x86_64-linux-gnu.so.p/_radius_neighbors.cpp:9772:7: note: ‘__pyx_clineno’ was declared here 9772 | int __pyx_clineno = 0; | ^~~~~~~~~~~~~ sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors.cpython-315-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-315-x86_64-linux-gnu.so.p/_radius_neighbors.cpp:14122:138: warning: ‘__pyx_clineno’ may be used uninitialized [-Wmaybe-uninitialized] 14122 | __pyx_parallel_filename = __pyx_filename; __pyx_parallel_lineno = __pyx_lineno; __pyx_parallel_clineno = __pyx_clineno; | ~~~~~~~~~~~~~~~~~~~~~~~^~~~~~~~~~~~~~~ sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors.cpython-315-x86_64-linux-gnu.so.p/_radius_neighbors.cpp:14006:7: note: ‘__pyx_clineno’ was declared here 14006 | int __pyx_clineno = 0; | ^~~~~~~~~~~~~ [140/253] Compiling C++ object sklearn/cluster/_dbscan_inner.cpython-315-x86_64-linux-gnu.so.p/meson-generated__dbscan_inner.cpp.o [141/253] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors_classmode.cpython-315-x86_64-linux-gnu.so.p/meson-generated__radius_neighbors_classmode.cpp.o [142/253] Compiling C++ object sklearn/cluster/_hierarchical_fast.cpython-315-x86_64-linux-gnu.so.p/meson-generated__hierarchical_fast.cpp.o [143/253] Compiling C object sklearn/cluster/_k_means_lloyd.cpython-315-x86_64-linux-gnu.so.p/meson-generated__k_means_lloyd.c.o sklearn/cluster/_k_means_lloyd.cpython-315-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-315-x86_64-linux-gnu.so.p/_k_means_lloyd.c:8062:10: warning: ‘__pyx_v_centers_new_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 8062 | float *__pyx_v_centers_new_chunk; | ^~~~~~~~~~~~~~~~~~~~~~~~~ sklearn/cluster/_k_means_lloyd.cpython-315-x86_64-linux-gnu.so.p/_k_means_lloyd.c:8063:10: warning: ‘__pyx_v_weight_in_clusters_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 8063 | float *__pyx_v_weight_in_clusters_chunk; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_10lloyd_iter_chunked_sparse’, inlined from ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_11lloyd_iter_chunked_sparse’ at sklearn/cluster/_k_means_lloyd.cpython-315-x86_64-linux-gnu.so.p/_k_means_lloyd.c:8022:13: sklearn/cluster/_k_means_lloyd.cpython-315-x86_64-linux-gnu.so.p/_k_means_lloyd.c:8408:21: warning: ‘__pyx_v_k’ may be used uninitialized [-Wmaybe-uninitialized] 8408 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_16, __pyx_t_20, __pyx_t_21, __pyx_t_3, __pyx_t_4, __pyx_t_6) firstprivate(__pyx_t_17, __pyx_t_18, __pyx_t_19, __pyx_t_7, __pyx_t_8) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads) | ^~~ sklearn/cluster/_k_means_lloyd.cpython-315-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-315-x86_64-linux-gnu.so.p/_k_means_lloyd.c:8057:7: note: ‘__pyx_v_k’ was declared here 8057 | int __pyx_v_k; | ^~~~~~~~~ In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_10lloyd_iter_chunked_sparse’, inlined from ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_11lloyd_iter_chunked_sparse’ at sklearn/cluster/_k_means_lloyd.cpython-315-x86_64-linux-gnu.so.p/_k_means_lloyd.c:8022:13: sklearn/cluster/_k_means_lloyd.cpython-315-x86_64-linux-gnu.so.p/_k_means_lloyd.c:8408:21: warning: ‘__pyx_v_j’ may be used uninitialized [-Wmaybe-uninitialized] 8408 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_16, __pyx_t_20, __pyx_t_21, __pyx_t_3, __pyx_t_4, __pyx_t_6) firstprivate(__pyx_t_17, __pyx_t_18, __pyx_t_19, __pyx_t_7, __pyx_t_8) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads) | ^~~ sklearn/cluster/_k_means_lloyd.cpython-315-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-315-x86_64-linux-gnu.so.p/_k_means_lloyd.c:8056:7: note: ‘__pyx_v_j’ was declared here 8056 | int __pyx_v_j; | ^~~~~~~~~ sklearn/cluster/_k_means_lloyd.cpython-315-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-315-x86_64-linux-gnu.so.p/_k_means_lloyd.c:6215:11: warning: ‘__pyx_v_centers_new_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 6215 | double *__pyx_v_centers_new_chunk; | ^~~~~~~~~~~~~~~~~~~~~~~~~ sklearn/cluster/_k_means_lloyd.cpython-315-x86_64-linux-gnu.so.p/_k_means_lloyd.c:6216:11: warning: ‘__pyx_v_weight_in_clusters_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 6216 | double *__pyx_v_weight_in_clusters_chunk; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ sklearn/cluster/_k_means_lloyd.cpython-315-x86_64-linux-gnu.so.p/_k_means_lloyd.c:6217:11: warning: ‘__pyx_v_pairwise_distances_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 6217 | double *__pyx_v_pairwise_distances_chunk; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_6lloyd_iter_chunked_dense’, inlined from ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_7lloyd_iter_chunked_dense’ at sklearn/cluster/_k_means_lloyd.cpython-315-x86_64-linux-gnu.so.p/_k_means_lloyd.c:6177:13: sklearn/cluster/_k_means_lloyd.cpython-315-x86_64-linux-gnu.so.p/_k_means_lloyd.c:6492:21: warning: ‘__pyx_v_k’ may be used uninitialized [-Wmaybe-uninitialized] 6492 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_pairwise_distances_chunk, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_1, __pyx_t_11, __pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_16, __pyx_t_19, __pyx_t_2, __pyx_t_20, __pyx_t_6) firstprivate(__pyx_t_15, __pyx_t_17, __pyx_t_18) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads) | ^~~ sklearn/cluster/_k_means_lloyd.cpython-315-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-315-x86_64-linux-gnu.so.p/_k_means_lloyd.c:6213:7: note: ‘__pyx_v_k’ was declared here 6213 | int __pyx_v_k; | ^~~~~~~~~ In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_6lloyd_iter_chunked_dense’, inlined from ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_7lloyd_iter_chunked_dense’ at sklearn/cluster/_k_means_lloyd.cpython-315-x86_64-linux-gnu.so.p/_k_means_lloyd.c:6177:13: sklearn/cluster/_k_means_lloyd.cpython-315-x86_64-linux-gnu.so.p/_k_means_lloyd.c:6492:21: warning: ‘__pyx_v_j’ may be used uninitialized [-Wmaybe-uninitialized] 6492 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_pairwise_distances_chunk, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_1, __pyx_t_11, __pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_16, __pyx_t_19, __pyx_t_2, __pyx_t_20, __pyx_t_6) firstprivate(__pyx_t_15, __pyx_t_17, __pyx_t_18) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads) | ^~~ sklearn/cluster/_k_means_lloyd.cpython-315-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-315-x86_64-linux-gnu.so.p/_k_means_lloyd.c:6212:7: note: ‘__pyx_v_j’ was declared here 6212 | int __pyx_v_j; | ^~~~~~~~~ sklearn/cluster/_k_means_lloyd.cpython-315-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-315-x86_64-linux-gnu.so.p/_k_means_lloyd.c:5186:10: warning: ‘__pyx_v_centers_new_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 5186 | float *__pyx_v_centers_new_chunk; | ^~~~~~~~~~~~~~~~~~~~~~~~~ sklearn/cluster/_k_means_lloyd.cpython-315-x86_64-linux-gnu.so.p/_k_means_lloyd.c:5187:10: warning: ‘__pyx_v_weight_in_clusters_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 5187 | float *__pyx_v_weight_in_clusters_chunk; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ sklearn/cluster/_k_means_lloyd.cpython-315-x86_64-linux-gnu.so.p/_k_means_lloyd.c:5188:10: warning: ‘__pyx_v_pairwise_distances_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 5188 | float *__pyx_v_pairwise_distances_chunk; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_4lloyd_iter_chunked_dense’, inlined from ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_5lloyd_iter_chunked_dense’ at sklearn/cluster/_k_means_lloyd.cpython-315-x86_64-linux-gnu.so.p/_k_means_lloyd.c:5148:13: sklearn/cluster/_k_means_lloyd.cpython-315-x86_64-linux-gnu.so.p/_k_means_lloyd.c:5463:21: warning: ‘__pyx_v_k’ may be used uninitialized [-Wmaybe-uninitialized] 5463 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_pairwise_distances_chunk, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_1, __pyx_t_11, __pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_16, __pyx_t_19, __pyx_t_2, __pyx_t_20, __pyx_t_6) firstprivate(__pyx_t_15, __pyx_t_17, __pyx_t_18) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads) | ^~~ sklearn/cluster/_k_means_lloyd.cpython-315-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-315-x86_64-linux-gnu.so.p/_k_means_lloyd.c:5184:7: note: ‘__pyx_v_k’ was declared here 5184 | int __pyx_v_k; | ^~~~~~~~~ In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_4lloyd_iter_chunked_dense’, inlined from ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_5lloyd_iter_chunked_dense’ at sklearn/cluster/_k_means_lloyd.cpython-315-x86_64-linux-gnu.so.p/_k_means_lloyd.c:5148:13: sklearn/cluster/_k_means_lloyd.cpython-315-x86_64-linux-gnu.so.p/_k_means_lloyd.c:5463:21: warning: ‘__pyx_v_j’ may be used uninitialized [-Wmaybe-uninitialized] 5463 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_pairwise_distances_chunk, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_1, __pyx_t_11, __pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_16, __pyx_t_19, __pyx_t_2, __pyx_t_20, __pyx_t_6) firstprivate(__pyx_t_15, __pyx_t_17, __pyx_t_18) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads) | ^~~ sklearn/cluster/_k_means_lloyd.cpython-315-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-315-x86_64-linux-gnu.so.p/_k_means_lloyd.c:5183:7: note: ‘__pyx_v_j’ was declared here 5183 | int __pyx_v_j; | ^~~~~~~~~ sklearn/cluster/_k_means_lloyd.cpython-315-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-315-x86_64-linux-gnu.so.p/_k_means_lloyd.c:9213:11: warning: ‘__pyx_v_centers_new_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 9213 | double *__pyx_v_centers_new_chunk; | ^~~~~~~~~~~~~~~~~~~~~~~~~ sklearn/cluster/_k_means_lloyd.cpython-315-x86_64-linux-gnu.so.p/_k_means_lloyd.c:9214:11: warning: ‘__pyx_v_weight_in_clusters_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 9214 | double *__pyx_v_weight_in_clusters_chunk; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_12lloyd_iter_chunked_sparse’, inlined from ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_13lloyd_iter_chunked_sparse’ at sklearn/cluster/_k_means_lloyd.cpython-315-x86_64-linux-gnu.so.p/_k_means_lloyd.c:9173:13: sklearn/cluster/_k_means_lloyd.cpython-315-x86_64-linux-gnu.so.p/_k_means_lloyd.c:9559:21: warning: ‘__pyx_v_k’ may be used uninitialized [-Wmaybe-uninitialized] 9559 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_16, __pyx_t_20, __pyx_t_21, __pyx_t_3, __pyx_t_4, __pyx_t_6) firstprivate(__pyx_t_17, __pyx_t_18, __pyx_t_19, __pyx_t_7, __pyx_t_8) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads) | ^~~ sklearn/cluster/_k_means_lloyd.cpython-315-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-315-x86_64-linux-gnu.so.p/_k_means_lloyd.c:9208:7: note: ‘__pyx_v_k’ was declared here 9208 | int __pyx_v_k; | ^~~~~~~~~ In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_lloyd_12lloyd_iter_chunked_sparse’, inlined from ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_lloyd_13lloyd_iter_chunked_sparse’ at sklearn/cluster/_k_means_lloyd.cpython-315-x86_64-linux-gnu.so.p/_k_means_lloyd.c:9173:13: sklearn/cluster/_k_means_lloyd.cpython-315-x86_64-linux-gnu.so.p/_k_means_lloyd.c:9559:21: warning: ‘__pyx_v_j’ may be used uninitialized [-Wmaybe-uninitialized] 9559 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_16, __pyx_t_20, __pyx_t_21, __pyx_t_3, __pyx_t_4, __pyx_t_6) firstprivate(__pyx_t_17, __pyx_t_18, __pyx_t_19, __pyx_t_7, __pyx_t_8) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads) | ^~~ sklearn/cluster/_k_means_lloyd.cpython-315-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-315-x86_64-linux-gnu.so.p/_k_means_lloyd.c:9207:7: note: ‘__pyx_v_j’ was declared here 9207 | int __pyx_v_j; | ^~~~~~~~~ [144/253] Compiling C object sklearn/cluster/_k_means_minibatch.cpython-315-x86_64-linux-gnu.so.p/meson-generated__k_means_minibatch.c.o sklearn/cluster/_k_means_minibatch.cpython-315-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-315-x86_64-linux-gnu.so.p/_k_means_minibatch.c:5325:21: warning: ‘__pyx_v_indices’ is used uninitialized [-Wuninitialized] 5325 | #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-315-x86_64-linux-gnu.so.p/_k_means_minibatch.c:5279:8: note: ‘__pyx_v_indices’ was declared here 5279 | int *__pyx_v_indices; | ^~~~~~~~~~~~~~~ sklearn/cluster/_k_means_minibatch.cpython-315-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-315-x86_64-linux-gnu.so.p/_k_means_minibatch.c:5051:21: warning: ‘__pyx_v_indices’ is used uninitialized [-Wuninitialized] 5051 | #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-315-x86_64-linux-gnu.so.p/_k_means_minibatch.c:5005:8: note: ‘__pyx_v_indices’ was declared here 5005 | 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-315-x86_64-linux-gnu.so.p/_k_means_minibatch.c:6419:13: sklearn/cluster/_k_means_minibatch.cpython-315-x86_64-linux-gnu.so.p/_k_means_minibatch.c:6546:21: warning: ‘__pyx_v_indices’ may be used uninitialized [-Wmaybe-uninitialized] 6546 | #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-315-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-315-x86_64-linux-gnu.so.p/_k_means_minibatch.c:6441:8: note: ‘__pyx_v_indices’ was declared here 6441 | 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-315-x86_64-linux-gnu.so.p/_k_means_minibatch.c:6765:13: sklearn/cluster/_k_means_minibatch.cpython-315-x86_64-linux-gnu.so.p/_k_means_minibatch.c:6892:21: warning: ‘__pyx_v_indices’ may be used uninitialized [-Wmaybe-uninitialized] 6892 | #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-315-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-315-x86_64-linux-gnu.so.p/_k_means_minibatch.c:6787:8: note: ‘__pyx_v_indices’ was declared here 6787 | int *__pyx_v_indices; | ^~~~~~~~~~~~~~~ [145/253] Compiling C object sklearn/cluster/_hdbscan/_linkage.cpython-315-x86_64-linux-gnu.so.p/meson-generated__linkage.c.o [146/253] Compiling C object sklearn/cluster/_k_means_common.cpython-315-x86_64-linux-gnu.so.p/meson-generated__k_means_common.c.o [147/253] Compiling C object sklearn/cluster/_k_means_elkan.cpython-315-x86_64-linux-gnu.so.p/meson-generated__k_means_elkan.c.o sklearn/cluster/_k_means_elkan.cpython-315-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-315-x86_64-linux-gnu.so.p/_k_means_elkan.c:9336:11: warning: ‘__pyx_v_weight_in_clusters_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 9336 | double *__pyx_v_weight_in_clusters_chunk; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ sklearn/cluster/_k_means_elkan.cpython-315-x86_64-linux-gnu.so.p/_k_means_elkan.c:9335:11: warning: ‘__pyx_v_centers_new_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 9335 | double *__pyx_v_centers_new_chunk; | ^~~~~~~~~~~~~~~~~~~~~~~~~ In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_elkan_22elkan_iter_chunked_dense’, inlined from ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_elkan_23elkan_iter_chunked_dense’ at sklearn/cluster/_k_means_elkan.cpython-315-x86_64-linux-gnu.so.p/_k_means_elkan.c:9293:13: sklearn/cluster/_k_means_elkan.cpython-315-x86_64-linux-gnu.so.p/_k_means_elkan.c:9567:21: warning: ‘__pyx_v_k’ may be used uninitialized [-Wmaybe-uninitialized] 9567 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_1, __pyx_t_10, __pyx_t_12, __pyx_t_17, __pyx_t_18, __pyx_t_2, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) firstprivate(__pyx_t_11, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_16) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads) | ^~~ sklearn/cluster/_k_means_elkan.cpython-315-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-315-x86_64-linux-gnu.so.p/_k_means_elkan.c:9334:7: note: ‘__pyx_v_k’ was declared here 9334 | int __pyx_v_k; | ^~~~~~~~~ In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_elkan_22elkan_iter_chunked_dense’, inlined from ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_elkan_23elkan_iter_chunked_dense’ at sklearn/cluster/_k_means_elkan.cpython-315-x86_64-linux-gnu.so.p/_k_means_elkan.c:9293:13: sklearn/cluster/_k_means_elkan.cpython-315-x86_64-linux-gnu.so.p/_k_means_elkan.c:9567:21: warning: ‘__pyx_v_j’ may be used uninitialized [-Wmaybe-uninitialized] 9567 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_1, __pyx_t_10, __pyx_t_12, __pyx_t_17, __pyx_t_18, __pyx_t_2, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) firstprivate(__pyx_t_11, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_16) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads) | ^~~ sklearn/cluster/_k_means_elkan.cpython-315-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-315-x86_64-linux-gnu.so.p/_k_means_elkan.c:9333:7: note: ‘__pyx_v_j’ was declared here 9333 | int __pyx_v_j; | ^~~~~~~~~ sklearn/cluster/_k_means_elkan.cpython-315-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-315-x86_64-linux-gnu.so.p/_k_means_elkan.c:8180:10: warning: ‘__pyx_v_weight_in_clusters_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 8180 | float *__pyx_v_weight_in_clusters_chunk; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ sklearn/cluster/_k_means_elkan.cpython-315-x86_64-linux-gnu.so.p/_k_means_elkan.c:8179:10: warning: ‘__pyx_v_centers_new_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 8179 | float *__pyx_v_centers_new_chunk; | ^~~~~~~~~~~~~~~~~~~~~~~~~ In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_elkan_20elkan_iter_chunked_dense’, inlined from ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_elkan_21elkan_iter_chunked_dense’ at sklearn/cluster/_k_means_elkan.cpython-315-x86_64-linux-gnu.so.p/_k_means_elkan.c:8137:13: sklearn/cluster/_k_means_elkan.cpython-315-x86_64-linux-gnu.so.p/_k_means_elkan.c:8411:21: warning: ‘__pyx_v_k’ may be used uninitialized [-Wmaybe-uninitialized] 8411 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_1, __pyx_t_10, __pyx_t_12, __pyx_t_17, __pyx_t_18, __pyx_t_2, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) firstprivate(__pyx_t_11, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_16) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads) | ^~~ sklearn/cluster/_k_means_elkan.cpython-315-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-315-x86_64-linux-gnu.so.p/_k_means_elkan.c:8178:7: note: ‘__pyx_v_k’ was declared here 8178 | int __pyx_v_k; | ^~~~~~~~~ In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_elkan_20elkan_iter_chunked_dense’, inlined from ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_elkan_21elkan_iter_chunked_dense’ at sklearn/cluster/_k_means_elkan.cpython-315-x86_64-linux-gnu.so.p/_k_means_elkan.c:8137:13: sklearn/cluster/_k_means_elkan.cpython-315-x86_64-linux-gnu.so.p/_k_means_elkan.c:8411:21: warning: ‘__pyx_v_j’ may be used uninitialized [-Wmaybe-uninitialized] 8411 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_1, __pyx_t_10, __pyx_t_12, __pyx_t_17, __pyx_t_18, __pyx_t_2, __pyx_t_6, __pyx_t_7, __pyx_t_8, __pyx_t_9) firstprivate(__pyx_t_11, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_16) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads) | ^~~ sklearn/cluster/_k_means_elkan.cpython-315-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-315-x86_64-linux-gnu.so.p/_k_means_elkan.c:8177:7: note: ‘__pyx_v_j’ was declared here 8177 | int __pyx_v_j; | ^~~~~~~~~ sklearn/cluster/_k_means_elkan.cpython-315-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-315-x86_64-linux-gnu.so.p/_k_means_elkan.c:11664:10: warning: ‘__pyx_v_centers_new_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 11664 | float *__pyx_v_centers_new_chunk; | ^~~~~~~~~~~~~~~~~~~~~~~~~ sklearn/cluster/_k_means_elkan.cpython-315-x86_64-linux-gnu.so.p/_k_means_elkan.c:11665:10: warning: ‘__pyx_v_weight_in_clusters_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 11665 | float *__pyx_v_weight_in_clusters_chunk; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_elkan_26elkan_iter_chunked_sparse’, inlined from ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_elkan_27elkan_iter_chunked_sparse’ at sklearn/cluster/_k_means_elkan.cpython-315-x86_64-linux-gnu.so.p/_k_means_elkan.c:11619:13: sklearn/cluster/_k_means_elkan.cpython-315-x86_64-linux-gnu.so.p/_k_means_elkan.c:12003:21: warning: ‘__pyx_v_k’ may be used uninitialized [-Wmaybe-uninitialized] 12003 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_16, __pyx_t_22, __pyx_t_23, __pyx_t_3, __pyx_t_4, __pyx_t_8) firstprivate(__pyx_t_17, __pyx_t_18, __pyx_t_19, __pyx_t_20, __pyx_t_21, __pyx_t_5, __pyx_t_6) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads) | ^~~ sklearn/cluster/_k_means_elkan.cpython-315-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-315-x86_64-linux-gnu.so.p/_k_means_elkan.c:11662:7: note: ‘__pyx_v_k’ was declared here 11662 | int __pyx_v_k; | ^~~~~~~~~ In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_elkan_26elkan_iter_chunked_sparse’, inlined from ‘__pyx_fuse_0__pyx_pw_7sklearn_7cluster_14_k_means_elkan_27elkan_iter_chunked_sparse’ at sklearn/cluster/_k_means_elkan.cpython-315-x86_64-linux-gnu.so.p/_k_means_elkan.c:11619:13: sklearn/cluster/_k_means_elkan.cpython-315-x86_64-linux-gnu.so.p/_k_means_elkan.c:12003:21: warning: ‘__pyx_v_j’ may be used uninitialized [-Wmaybe-uninitialized] 12003 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_16, __pyx_t_22, __pyx_t_23, __pyx_t_3, __pyx_t_4, __pyx_t_8) firstprivate(__pyx_t_17, __pyx_t_18, __pyx_t_19, __pyx_t_20, __pyx_t_21, __pyx_t_5, __pyx_t_6) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads) | ^~~ sklearn/cluster/_k_means_elkan.cpython-315-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-315-x86_64-linux-gnu.so.p/_k_means_elkan.c:11661:7: note: ‘__pyx_v_j’ was declared here 11661 | int __pyx_v_j; | ^~~~~~~~~ sklearn/cluster/_k_means_elkan.cpython-315-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-315-x86_64-linux-gnu.so.p/_k_means_elkan.c:13003:11: warning: ‘__pyx_v_centers_new_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 13003 | double *__pyx_v_centers_new_chunk; | ^~~~~~~~~~~~~~~~~~~~~~~~~ sklearn/cluster/_k_means_elkan.cpython-315-x86_64-linux-gnu.so.p/_k_means_elkan.c:13004:11: warning: ‘__pyx_v_weight_in_clusters_chunk’ may be used uninitialized [-Wmaybe-uninitialized] 13004 | double *__pyx_v_weight_in_clusters_chunk; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_elkan_28elkan_iter_chunked_sparse’, inlined from ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_elkan_29elkan_iter_chunked_sparse’ at sklearn/cluster/_k_means_elkan.cpython-315-x86_64-linux-gnu.so.p/_k_means_elkan.c:12958:13: sklearn/cluster/_k_means_elkan.cpython-315-x86_64-linux-gnu.so.p/_k_means_elkan.c:13342:21: warning: ‘__pyx_v_k’ may be used uninitialized [-Wmaybe-uninitialized] 13342 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_16, __pyx_t_22, __pyx_t_23, __pyx_t_3, __pyx_t_4, __pyx_t_8) firstprivate(__pyx_t_17, __pyx_t_18, __pyx_t_19, __pyx_t_20, __pyx_t_21, __pyx_t_5, __pyx_t_6) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads) | ^~~ sklearn/cluster/_k_means_elkan.cpython-315-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-315-x86_64-linux-gnu.so.p/_k_means_elkan.c:13001:7: note: ‘__pyx_v_k’ was declared here 13001 | int __pyx_v_k; | ^~~~~~~~~ In function ‘__pyx_pf_7sklearn_7cluster_14_k_means_elkan_28elkan_iter_chunked_sparse’, inlined from ‘__pyx_fuse_1__pyx_pw_7sklearn_7cluster_14_k_means_elkan_29elkan_iter_chunked_sparse’ at sklearn/cluster/_k_means_elkan.cpython-315-x86_64-linux-gnu.so.p/_k_means_elkan.c:12958:13: sklearn/cluster/_k_means_elkan.cpython-315-x86_64-linux-gnu.so.p/_k_means_elkan.c:13342:21: warning: ‘__pyx_v_j’ may be used uninitialized [-Wmaybe-uninitialized] 13342 | #pragma omp parallel firstprivate(__pyx_v_centers_new_chunk, __pyx_v_j, __pyx_v_k, __pyx_v_weight_in_clusters_chunk) private(__pyx_t_12, __pyx_t_13, __pyx_t_14, __pyx_t_15, __pyx_t_16, __pyx_t_22, __pyx_t_23, __pyx_t_3, __pyx_t_4, __pyx_t_8) firstprivate(__pyx_t_17, __pyx_t_18, __pyx_t_19, __pyx_t_20, __pyx_t_21, __pyx_t_5, __pyx_t_6) __Pyx_shared_in_cpython_freethreading(__pyx_parallel_freethreading_mutex) private(__pyx_filename, __pyx_lineno, __pyx_clineno) shared(__pyx_parallel_why, __pyx_parallel_exc_type, __pyx_parallel_exc_value, __pyx_parallel_exc_tb) num_threads(__pyx_v_n_threads) | ^~~ sklearn/cluster/_k_means_elkan.cpython-315-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-315-x86_64-linux-gnu.so.p/_k_means_elkan.c:13000:7: note: ‘__pyx_v_j’ was declared here 13000 | int __pyx_v_j; | ^~~~~~~~~ [148/253] Compiling C object sklearn/decomposition/_cdnmf_fast.cpython-315-x86_64-linux-gnu.so.p/meson-generated__cdnmf_fast.c.o [149/253] Compiling C object sklearn/decomposition/_online_lda_fast.cpython-315-x86_64-linux-gnu.so.p/meson-generated__online_lda_fast.c.o [150/253] Compiling C object sklearn/cluster/_hdbscan/_reachability.cpython-315-x86_64-linux-gnu.so.p/meson-generated__reachability.c.o [151/253] Compiling C object sklearn/ensemble/_gradient_boosting.cpython-315-x86_64-linux-gnu.so.p/meson-generated__gradient_boosting.c.o [152/253] Compiling C object sklearn/ensemble/_hist_gradient_boosting/_gradient_boosting.cpython-315-x86_64-linux-gnu.so.p/meson-generated__gradient_boosting.c.o [153/253] Compiling C object sklearn/ensemble/_hist_gradient_boosting/_binning.cpython-315-x86_64-linux-gnu.so.p/meson-generated__binning.c.o [154/253] Compiling C object sklearn/cluster/_hdbscan/_tree.cpython-315-x86_64-linux-gnu.so.p/meson-generated__tree.c.o [155/253] Compiling C object sklearn/ensemble/_hist_gradient_boosting/_bitset.cpython-315-x86_64-linux-gnu.so.p/meson-generated__bitset.c.o [156/253] Compiling C object sklearn/ensemble/_hist_gradient_boosting/histogram.cpython-315-x86_64-linux-gnu.so.p/meson-generated_histogram.c.o [157/253] Compiling C object sklearn/ensemble/_hist_gradient_boosting/_predictor.cpython-315-x86_64-linux-gnu.so.p/meson-generated__predictor.c.o [158/253] Compiling C object sklearn/ensemble/_hist_gradient_boosting/common.cpython-315-x86_64-linux-gnu.so.p/meson-generated_common.c.o [159/253] Compiling C object sklearn/ensemble/_hist_gradient_boosting/splitting.cpython-315-x86_64-linux-gnu.so.p/meson-generated_splitting.c.o [160/253] Compiling C++ object sklearn/feature_extraction/_hashing_fast.cpython-315-x86_64-linux-gnu.so.p/meson-generated__hashing_fast.cpp.o [161/253] Compiling C object sklearn/_loss/_loss.cpython-315-x86_64-linux-gnu.so.p/meson-generated__loss.c.o In function ‘__pyx_pf_5_loss_21CyHalfMultinomialLoss_28loss_gradient’, inlined from ‘__pyx_fuse_0_0__pyx_pw_5_loss_21CyHalfMultinomialLoss_29loss_gradient’ at sklearn/_loss/_loss.cpython-315-x86_64-linux-gnu.so.p/_loss.c:87069:13: sklearn/_loss/_loss.cpython-315-x86_64-linux-gnu.so.p/_loss.c:87158:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 87158 | #pragma omp parallel firstprivate(__pyx_v_p) private(__pyx_t_1, __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-315-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-315-x86_64-linux-gnu.so.p/_loss.c:87091:11: note: ‘__pyx_v_p’ was declared here 87091 | double *__pyx_v_p; | ^~~~~~~~~ In function ‘__pyx_pf_5_loss_21CyHalfMultinomialLoss_30loss_gradient’, inlined from ‘__pyx_fuse_0_1__pyx_pw_5_loss_21CyHalfMultinomialLoss_31loss_gradient’ at sklearn/_loss/_loss.cpython-315-x86_64-linux-gnu.so.p/_loss.c:87685:13: sklearn/_loss/_loss.cpython-315-x86_64-linux-gnu.so.p/_loss.c:87774:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 87774 | #pragma omp parallel firstprivate(__pyx_v_p) private(__pyx_t_1, __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-315-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-315-x86_64-linux-gnu.so.p/_loss.c:87707:11: note: ‘__pyx_v_p’ was declared here 87707 | double *__pyx_v_p; | ^~~~~~~~~ sklearn/_loss/_loss.cpython-315-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-315-x86_64-linux-gnu.so.p/_loss.c:88323:10: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 88323 | float *__pyx_v_p; | ^~~~~~~~~ sklearn/_loss/_loss.cpython-315-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-315-x86_64-linux-gnu.so.p/_loss.c:88939:10: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 88939 | float *__pyx_v_p; | ^~~~~~~~~ In function ‘__pyx_pf_5_loss_21CyHalfMultinomialLoss_48gradient_hessian’, inlined from ‘__pyx_fuse_0_0__pyx_pw_5_loss_21CyHalfMultinomialLoss_49gradient_hessian’ at sklearn/_loss/_loss.cpython-315-x86_64-linux-gnu.so.p/_loss.c:92179:13: sklearn/_loss/_loss.cpython-315-x86_64-linux-gnu.so.p/_loss.c:92267:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 92267 | #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-315-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-315-x86_64-linux-gnu.so.p/_loss.c:92200:11: note: ‘__pyx_v_p’ was declared here 92200 | double *__pyx_v_p; | ^~~~~~~~~ In function ‘__pyx_pf_5_loss_21CyHalfMultinomialLoss_50gradient_hessian’, inlined from ‘__pyx_fuse_0_1__pyx_pw_5_loss_21CyHalfMultinomialLoss_51gradient_hessian’ at sklearn/_loss/_loss.cpython-315-x86_64-linux-gnu.so.p/_loss.c:92702:13: sklearn/_loss/_loss.cpython-315-x86_64-linux-gnu.so.p/_loss.c:92790:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 92790 | #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-315-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-315-x86_64-linux-gnu.so.p/_loss.c:92723:11: note: ‘__pyx_v_p’ was declared here 92723 | double *__pyx_v_p; | ^~~~~~~~~ sklearn/_loss/_loss.cpython-315-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-315-x86_64-linux-gnu.so.p/_loss.c:93246:10: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 93246 | float *__pyx_v_p; | ^~~~~~~~~ sklearn/_loss/_loss.cpython-315-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-315-x86_64-linux-gnu.so.p/_loss.c:93769:10: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 93769 | float *__pyx_v_p; | ^~~~~~~~~ In function ‘__pyx_pf_5_loss_21CyHalfMultinomialLoss_58gradient_proba’, inlined from ‘__pyx_fuse_0_0__pyx_pw_5_loss_21CyHalfMultinomialLoss_59gradient_proba’ at sklearn/_loss/_loss.cpython-315-x86_64-linux-gnu.so.p/_loss.c:94614:13: sklearn/_loss/_loss.cpython-315-x86_64-linux-gnu.so.p/_loss.c:94703:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 94703 | #pragma omp parallel firstprivate(__pyx_v_p) private(__pyx_t_10, __pyx_t_11, __pyx_t_12, __pyx_t_13, __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-315-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-315-x86_64-linux-gnu.so.p/_loss.c:94635:11: note: ‘__pyx_v_p’ was declared here 94635 | double *__pyx_v_p; | ^~~~~~~~~ In function ‘__pyx_pf_5_loss_21CyHalfMultinomialLoss_60gradient_proba’, inlined from ‘__pyx_fuse_0_1__pyx_pw_5_loss_21CyHalfMultinomialLoss_61gradient_proba’ at sklearn/_loss/_loss.cpython-315-x86_64-linux-gnu.so.p/_loss.c:95119:13: sklearn/_loss/_loss.cpython-315-x86_64-linux-gnu.so.p/_loss.c:95208:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 95208 | #pragma omp parallel firstprivate(__pyx_v_p) private(__pyx_t_10, __pyx_t_11, __pyx_t_12, __pyx_t_13, __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-315-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-315-x86_64-linux-gnu.so.p/_loss.c:95140:11: note: ‘__pyx_v_p’ was declared here 95140 | double *__pyx_v_p; | ^~~~~~~~~ sklearn/_loss/_loss.cpython-315-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-315-x86_64-linux-gnu.so.p/_loss.c:95645:10: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 95645 | float *__pyx_v_p; | ^~~~~~~~~ sklearn/_loss/_loss.cpython-315-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-315-x86_64-linux-gnu.so.p/_loss.c:96150:10: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 96150 | 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-315-x86_64-linux-gnu.so.p/_loss.c:86207:13: sklearn/_loss/_loss.cpython-315-x86_64-linux-gnu.so.p/_loss.c:86290:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 86290 | #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-315-x86_64-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_1_1__pyx_pw_5_loss_21CyHalfMultinomialLoss_25loss’: sklearn/_loss/_loss.cpython-315-x86_64-linux-gnu.so.p/_loss.c:86228:10: note: ‘__pyx_v_p’ was declared here 86228 | float *__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-315-x86_64-linux-gnu.so.p/_loss.c:85697:13: sklearn/_loss/_loss.cpython-315-x86_64-linux-gnu.so.p/_loss.c:85780:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 85780 | #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-315-x86_64-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_1_0__pyx_pw_5_loss_21CyHalfMultinomialLoss_23loss’: sklearn/_loss/_loss.cpython-315-x86_64-linux-gnu.so.p/_loss.c:85718:10: note: ‘__pyx_v_p’ was declared here 85718 | float *__pyx_v_p; | ^~~~~~~~~ In function ‘__pyx_pf_5_loss_21CyHalfMultinomialLoss_20loss’, inlined from ‘__pyx_fuse_0_1__pyx_pw_5_loss_21CyHalfMultinomialLoss_21loss’ at sklearn/_loss/_loss.cpython-315-x86_64-linux-gnu.so.p/_loss.c:85187:13: sklearn/_loss/_loss.cpython-315-x86_64-linux-gnu.so.p/_loss.c:85270:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 85270 | #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-315-x86_64-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_0_1__pyx_pw_5_loss_21CyHalfMultinomialLoss_21loss’: sklearn/_loss/_loss.cpython-315-x86_64-linux-gnu.so.p/_loss.c:85208:11: note: ‘__pyx_v_p’ was declared here 85208 | double *__pyx_v_p; | ^~~~~~~~~ In function ‘__pyx_pf_5_loss_21CyHalfMultinomialLoss_18loss’, inlined from ‘__pyx_fuse_0_0__pyx_pw_5_loss_21CyHalfMultinomialLoss_19loss’ at sklearn/_loss/_loss.cpython-315-x86_64-linux-gnu.so.p/_loss.c:84677:13: sklearn/_loss/_loss.cpython-315-x86_64-linux-gnu.so.p/_loss.c:84760:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 84760 | #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-315-x86_64-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_0_0__pyx_pw_5_loss_21CyHalfMultinomialLoss_19loss’: sklearn/_loss/_loss.cpython-315-x86_64-linux-gnu.so.p/_loss.c:84698:11: note: ‘__pyx_v_p’ was declared here 84698 | double *__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-315-x86_64-linux-gnu.so.p/_loss.c:91337:13: sklearn/_loss/_loss.cpython-315-x86_64-linux-gnu.so.p/_loss.c:91424:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 91424 | #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-315-x86_64-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_1_1__pyx_pw_5_loss_21CyHalfMultinomialLoss_45gradient’: sklearn/_loss/_loss.cpython-315-x86_64-linux-gnu.so.p/_loss.c:91357:10: note: ‘__pyx_v_p’ was declared here 91357 | float *__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-315-x86_64-linux-gnu.so.p/_loss.c:90847:13: sklearn/_loss/_loss.cpython-315-x86_64-linux-gnu.so.p/_loss.c:90934:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 90934 | #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-315-x86_64-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_1_0__pyx_pw_5_loss_21CyHalfMultinomialLoss_43gradient’: sklearn/_loss/_loss.cpython-315-x86_64-linux-gnu.so.p/_loss.c:90867:10: note: ‘__pyx_v_p’ was declared here 90867 | float *__pyx_v_p; | ^~~~~~~~~ In function ‘__pyx_pf_5_loss_21CyHalfMultinomialLoss_40gradient’, inlined from ‘__pyx_fuse_0_1__pyx_pw_5_loss_21CyHalfMultinomialLoss_41gradient’ at sklearn/_loss/_loss.cpython-315-x86_64-linux-gnu.so.p/_loss.c:90357:13: sklearn/_loss/_loss.cpython-315-x86_64-linux-gnu.so.p/_loss.c:90444:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 90444 | #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-315-x86_64-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_0_1__pyx_pw_5_loss_21CyHalfMultinomialLoss_41gradient’: sklearn/_loss/_loss.cpython-315-x86_64-linux-gnu.so.p/_loss.c:90377:11: note: ‘__pyx_v_p’ was declared here 90377 | double *__pyx_v_p; | ^~~~~~~~~ In function ‘__pyx_pf_5_loss_21CyHalfMultinomialLoss_38gradient’, inlined from ‘__pyx_fuse_0_0__pyx_pw_5_loss_21CyHalfMultinomialLoss_39gradient’ at sklearn/_loss/_loss.cpython-315-x86_64-linux-gnu.so.p/_loss.c:89867:13: sklearn/_loss/_loss.cpython-315-x86_64-linux-gnu.so.p/_loss.c:89954:23: warning: ‘__pyx_v_p’ may be used uninitialized [-Wmaybe-uninitialized] 89954 | #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-315-x86_64-linux-gnu.so.p/_loss.c: In function ‘__pyx_fuse_0_0__pyx_pw_5_loss_21CyHalfMultinomialLoss_39gradient’: sklearn/_loss/_loss.cpython-315-x86_64-linux-gnu.so.p/_loss.c:89887:11: note: ‘__pyx_v_p’ was declared here 89887 | double *__pyx_v_p; | ^~~~~~~~~ [162/253] Compiling C object sklearn/manifold/_utils.cpython-315-x86_64-linux-gnu.so.p/meson-generated__utils.c.o [163/253] Compiling C object sklearn/linear_model/_sag_fast.cpython-315-x86_64-linux-gnu.so.p/meson-generated__sag_fast.c.o [164/253] Compiling C object sklearn/manifold/_barnes_hut_tsne.cpython-315-x86_64-linux-gnu.so.p/meson-generated__barnes_hut_tsne.c.o sklearn/manifold/_barnes_hut_tsne.cpython-315-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-315-x86_64-linux-gnu.so.p/_barnes_hut_tsne.c:6882:21: warning: ‘__pyx_v_summary’ is used uninitialized [-Wuninitialized] 6882 | #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-315-x86_64-linux-gnu.so.p/_barnes_hut_tsne.c:6733:10: note: ‘__pyx_v_summary’ was declared here 6733 | float *__pyx_v_summary; | ^~~~~~~~~~~~~~~ sklearn/manifold/_barnes_hut_tsne.cpython-315-x86_64-linux-gnu.so.p/_barnes_hut_tsne.c:6882:21: warning: ‘__pyx_v_pos’ is used uninitialized [-Wuninitialized] 6882 | #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-315-x86_64-linux-gnu.so.p/_barnes_hut_tsne.c:6728:10: note: ‘__pyx_v_pos’ was declared here 6728 | float *__pyx_v_pos; | ^~~~~~~~~~~ sklearn/manifold/_barnes_hut_tsne.cpython-315-x86_64-linux-gnu.so.p/_barnes_hut_tsne.c:6882:21: warning: ‘__pyx_v_neg_force’ is used uninitialized [-Wuninitialized] 6882 | #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-315-x86_64-linux-gnu.so.p/_barnes_hut_tsne.c:6727:10: note: ‘__pyx_v_neg_force’ was declared here 6727 | float *__pyx_v_neg_force; | ^~~~~~~~~~~~~~~~~ sklearn/manifold/_barnes_hut_tsne.cpython-315-x86_64-linux-gnu.so.p/_barnes_hut_tsne.c:6882:21: warning: ‘__pyx_v_force’ is used uninitialized [-Wuninitialized] 6882 | #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-315-x86_64-linux-gnu.so.p/_barnes_hut_tsne.c:6726:10: note: ‘__pyx_v_force’ was declared here 6726 | float *__pyx_v_force; | ^~~~~~~~~~~~~ sklearn/manifold/_barnes_hut_tsne.cpython-315-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-315-x86_64-linux-gnu.so.p/_barnes_hut_tsne.c:6337:21: warning: ‘__pyx_v_buff’ is used uninitialized [-Wuninitialized] 6337 | #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-315-x86_64-linux-gnu.so.p/_barnes_hut_tsne.c:6216:10: note: ‘__pyx_v_buff’ was declared here 6216 | float *__pyx_v_buff; | ^~~~~~~~~~~~ [165/253] Compiling C object sklearn/datasets/_svmlight_format_fast.cpython-315-x86_64-linux-gnu.so.p/meson-generated__svmlight_format_fast.c.o [166/253] Compiling C++ object sklearn/neighbors/_partition_nodes.cpython-315-x86_64-linux-gnu.so.p/meson-generated__partition_nodes.cpp.o [167/253] Compiling C object sklearn/linear_model/_sgd_fast.cpython-315-x86_64-linux-gnu.so.p/meson-generated__sgd_fast.c.o [168/253] Compiling C object sklearn/neighbors/_quad_tree.cpython-315-x86_64-linux-gnu.so.p/meson-generated__quad_tree.c.o [169/253] Compiling C++ object sklearn/svm/_newrand.cpython-315-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-315-x86_64-linux-gnu.so.p/meson-generated__cd_fast.c.o [172/253] Compiling C object sklearn/preprocessing/_csr_polynomial_expansion.cpython-315-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-315-x86_64-linux-gnu.so.p/meson-generated__liblinear.c.o [175/253] Compiling C object sklearn/svm/_libsvm_sparse.cpython-315-x86_64-linux-gnu.so.p/meson-generated__libsvm_sparse.c.o [176/253] Compiling C object sklearn/svm/_libsvm.cpython-315-x86_64-linux-gnu.so.p/meson-generated__libsvm.c.o [177/253] Compiling C++ object sklearn/preprocessing/_target_encoder_fast.cpython-315-x86_64-linux-gnu.so.p/meson-generated__target_encoder_fast.cpp.o [178/253] Compiling C object sklearn/tree/_splitter.cpython-315-x86_64-linux-gnu.so.p/meson-generated__splitter.c.o [179/253] Compiling C object sklearn/neighbors/_ball_tree.cpython-315-x86_64-linux-gnu.so.p/meson-generated__ball_tree.c.o sklearn/neighbors/_ball_tree.cpython-315-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-315-x86_64-linux-gnu.so.p/_ball_tree.c:17112:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 17112 | __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-315-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-315-x86_64-linux-gnu.so.p/_ball_tree.c:24478:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 24478 | __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-315-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-315-x86_64-linux-gnu.so.p/_ball_tree.c:25027:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 25027 | __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-315-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-315-x86_64-linux-gnu.so.p/_ball_tree.c:25932:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 25932 | __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-315-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-315-x86_64-linux-gnu.so.p/_ball_tree.c:26542:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 26542 | __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-315-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-315-x86_64-linux-gnu.so.p/_ball_tree.c:26945:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 26945 | __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-315-x86_64-linux-gnu.so.p/_ball_tree.c:26955:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 26955 | __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-315-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-315-x86_64-linux-gnu.so.p/_ball_tree.c:30987:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 30987 | __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-315-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-315-x86_64-linux-gnu.so.p/_ball_tree.c:38362:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 38362 | __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-315-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-315-x86_64-linux-gnu.so.p/_ball_tree.c:38911:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 38911 | __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-315-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-315-x86_64-linux-gnu.so.p/_ball_tree.c:39816:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 39816 | __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-315-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-315-x86_64-linux-gnu.so.p/_ball_tree.c:40426:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 40426 | __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-315-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-315-x86_64-linux-gnu.so.p/_ball_tree.c:40829:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 40829 | __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-315-x86_64-linux-gnu.so.p/_ball_tree.c:40839:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 40839 | __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-315-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-315-x86_64-linux-gnu.so.p/_ball_tree.c:42745:20: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 42745 | __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-315-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-315-x86_64-linux-gnu.so.p/_ball_tree.c:44118:20: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 44118 | __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-315-x86_64-linux-gnu.so.p/_ball_tree.c:40138:19: sklearn/neighbors/_ball_tree.cpython-315-x86_64-linux-gnu.so.p/_ball_tree.c:42455:52: warning: ‘__pyx_v_sample_weight’ may be used uninitialized [-Wmaybe-uninitialized] 42455 | __pyx_v_N = (__pyx_v_N + (__pyx_v_sample_weight[(__pyx_v_idx_array[__pyx_v_i])])); | ^ sklearn/neighbors/_ball_tree.cpython-315-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-315-x86_64-linux-gnu.so.p/_ball_tree.c:39716:55: note: ‘__pyx_v_sample_weight’ was declared here 39716 | __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-315-x86_64-linux-gnu.so.p/_ball_tree.c:26254:19: sklearn/neighbors/_ball_tree.cpython-315-x86_64-linux-gnu.so.p/_ball_tree.c:42514:52: warning: ‘__pyx_v_sample_weight’ may be used uninitialized [-Wmaybe-uninitialized] 42514 | __pyx_v_N = (__pyx_v_N + (__pyx_v_sample_weight[(__pyx_v_idx_array[__pyx_v_i])])); | ^ sklearn/neighbors/_ball_tree.cpython-315-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-315-x86_64-linux-gnu.so.p/_ball_tree.c:25832:55: note: ‘__pyx_v_sample_weight’ was declared here 25832 | __pyx_t_7sklearn_5utils_9_typedefs_float64_t const *__pyx_v_sample_weight; | ^~~~~~~~~~~~~~~~~~~~~ [180/253] Compiling C object sklearn/neighbors/_kd_tree.cpython-315-x86_64-linux-gnu.so.p/meson-generated__kd_tree.c.o sklearn/neighbors/_kd_tree.cpython-315-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-315-x86_64-linux-gnu.so.p/_kd_tree.c:17092:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 17092 | __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-315-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-315-x86_64-linux-gnu.so.p/_kd_tree.c:24458:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 24458 | __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-315-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-315-x86_64-linux-gnu.so.p/_kd_tree.c:25007:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 25007 | __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-315-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-315-x86_64-linux-gnu.so.p/_kd_tree.c:25912:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 25912 | __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-315-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-315-x86_64-linux-gnu.so.p/_kd_tree.c:26522:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 26522 | __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-315-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-315-x86_64-linux-gnu.so.p/_kd_tree.c:26925:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 26925 | __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-315-x86_64-linux-gnu.so.p/_kd_tree.c:26935:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 26935 | __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-315-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-315-x86_64-linux-gnu.so.p/_kd_tree.c:30967:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 30967 | __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-315-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-315-x86_64-linux-gnu.so.p/_kd_tree.c:38342:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 38342 | __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-315-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-315-x86_64-linux-gnu.so.p/_kd_tree.c:38891:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 38891 | __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-315-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-315-x86_64-linux-gnu.so.p/_kd_tree.c:39796:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 39796 | __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-315-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-315-x86_64-linux-gnu.so.p/_kd_tree.c:40406:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 40406 | __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-315-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-315-x86_64-linux-gnu.so.p/_kd_tree.c:40809:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 40809 | __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-315-x86_64-linux-gnu.so.p/_kd_tree.c:40819:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 40819 | __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-315-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-315-x86_64-linux-gnu.so.p/_kd_tree.c:42700:24: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 42700 | __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-315-x86_64-linux-gnu.so.p/_kd_tree.c:42712:24: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 42712 | __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-315-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-315-x86_64-linux-gnu.so.p/_kd_tree.c:44527:24: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 44527 | __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-315-x86_64-linux-gnu.so.p/_kd_tree.c:44539:24: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers] 44539 | __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-315-x86_64-linux-gnu.so.p/_kd_tree.c:40118:19: sklearn/neighbors/_kd_tree.cpython-315-x86_64-linux-gnu.so.p/_kd_tree.c:42435:52: warning: ‘__pyx_v_sample_weight’ may be used uninitialized [-Wmaybe-uninitialized] 42435 | __pyx_v_N = (__pyx_v_N + (__pyx_v_sample_weight[(__pyx_v_idx_array[__pyx_v_i])])); | ^ sklearn/neighbors/_kd_tree.cpython-315-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-315-x86_64-linux-gnu.so.p/_kd_tree.c:39696:55: note: ‘__pyx_v_sample_weight’ was declared here 39696 | __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-315-x86_64-linux-gnu.so.p/_kd_tree.c:26234:19: sklearn/neighbors/_kd_tree.cpython-315-x86_64-linux-gnu.so.p/_kd_tree.c:42494:52: warning: ‘__pyx_v_sample_weight’ may be used uninitialized [-Wmaybe-uninitialized] 42494 | __pyx_v_N = (__pyx_v_N + (__pyx_v_sample_weight[(__pyx_v_idx_array[__pyx_v_i])])); | ^ sklearn/neighbors/_kd_tree.cpython-315-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-315-x86_64-linux-gnu.so.p/_kd_tree.c:25812:55: note: ‘__pyx_v_sample_weight’ was declared here 25812 | __pyx_t_7sklearn_5utils_9_typedefs_float64_t const *__pyx_v_sample_weight; | ^~~~~~~~~~~~~~~~~~~~~ [181/253] Compiling C object sklearn/tree/_partitioner.cpython-315-x86_64-linux-gnu.so.p/meson-generated__partitioner.c.o [182/253] Linking target sklearn/__check_build/_check_build.cpython-315-x86_64-linux-gnu.so [183/253] Compiling C object sklearn/tree/_utils.cpython-315-x86_64-linux-gnu.so.p/meson-generated__utils.c.o [184/253] Linking target sklearn/_cyutility.cpython-315-x86_64-linux-gnu.so [185/253] Linking target sklearn/_isotonic.cpython-315-x86_64-linux-gnu.so [186/253] Compiling C object sklearn/tree/_criterion.cpython-315-x86_64-linux-gnu.so.p/meson-generated__criterion.c.o [187/253] Linking target sklearn/utils/_cython_blas.cpython-315-x86_64-linux-gnu.so [188/253] Linking target sklearn/utils/arrayfuncs.cpython-315-x86_64-linux-gnu.so [189/253] Linking target sklearn/utils/murmurhash.cpython-315-x86_64-linux-gnu.so [190/253] Linking target sklearn/utils/_openmp_helpers.cpython-315-x86_64-linux-gnu.so [191/253] Linking target sklearn/utils/_fast_dict.cpython-315-x86_64-linux-gnu.so [192/253] Linking target sklearn/utils/_heap.cpython-315-x86_64-linux-gnu.so [193/253] Linking target sklearn/utils/sparsefuncs_fast.cpython-315-x86_64-linux-gnu.so [194/253] Linking target sklearn/utils/_sorting.cpython-315-x86_64-linux-gnu.so [195/253] Linking target sklearn/utils/_random.cpython-315-x86_64-linux-gnu.so [196/253] Compiling C++ object sklearn/tree/_tree.cpython-315-x86_64-linux-gnu.so.p/meson-generated__tree.cpp.o In file included from /usr/include/c++/16/x86_64-redhat-linux/bits/c++allocator.h:33, from /usr/include/c++/16/bits/allocator.h:46, from /usr/include/c++/16/string:46, from /usr/include/c++/16/bits/locale_classes.h:43, from /usr/include/c++/16/bits/ios_base.h:43, from /usr/include/c++/16/ios:46, from sklearn/tree/_tree.cpython-315-x86_64-linux-gnu.so.p/_tree.cpp:1275: 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++/16/bits/alloc_traits.h:714:17, inlined from ‘std::deque >::_M_push_back_aux(long const&)void’ at /usr/include/c++/16/bits/deque.tcc:501:30, inlined from ‘std::deque >::push_back(long const&)’ at /usr/include/c++/16/bits/stl_deque.h:1614:20, inlined from ‘std::stack > >::push(long const&)’ at /usr/include/c++/16/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-315-x86_64-linux-gnu.so.p/_tree.cpp:28089:44: /usr/include/c++/16/bits/new_allocator.h:203:11: warning: ‘__pyx_v_pruned_branch_node_idx’ may be used uninitialized [-Wmaybe-uninitialized] 203 | { ::new((void *)__p) _Up(std::forward<_Args>(__args)...); } | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ sklearn/tree/_tree.cpython-315-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-315-x86_64-linux-gnu.so.p/_tree.cpp:27125:45: note: ‘__pyx_v_pruned_branch_node_idx’ was declared here 27125 | __pyx_t_7sklearn_5utils_9_typedefs_intp_t __pyx_v_pruned_branch_node_idx; | ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~ [197/253] Linking target sklearn/utils/_typedefs.cpython-315-x86_64-linux-gnu.so [198/253] Linking target sklearn/utils/_isfinite.cpython-315-x86_64-linux-gnu.so [199/253] Linking target sklearn/utils/_weight_vector.cpython-315-x86_64-linux-gnu.so [200/253] Linking target sklearn/utils/_vector_sentinel.cpython-315-x86_64-linux-gnu.so [201/253] Linking target sklearn/utils/_seq_dataset.cpython-315-x86_64-linux-gnu.so [202/253] Linking target sklearn/metrics/_pairwise_fast.cpython-315-x86_64-linux-gnu.so [203/253] Linking target sklearn/_loss/_loss.cpython-315-x86_64-linux-gnu.so [204/253] Linking target sklearn/metrics/_pairwise_distances_reduction/_datasets_pair.cpython-315-x86_64-linux-gnu.so [205/253] Linking target sklearn/metrics/_dist_metrics.cpython-315-x86_64-linux-gnu.so [206/253] Linking target sklearn/metrics/_pairwise_distances_reduction/_base.cpython-315-x86_64-linux-gnu.so [207/253] Linking target sklearn/metrics/_pairwise_distances_reduction/_middle_term_computer.cpython-315-x86_64-linux-gnu.so [208/253] Linking target sklearn/metrics/_pairwise_distances_reduction/_argkmin.cpython-315-x86_64-linux-gnu.so [209/253] Linking target sklearn/metrics/cluster/_expected_mutual_info_fast.cpython-315-x86_64-linux-gnu.so [210/253] Linking target sklearn/metrics/_pairwise_distances_reduction/_argkmin_classmode.cpython-315-x86_64-linux-gnu.so [211/253] Linking target sklearn/cluster/_dbscan_inner.cpython-315-x86_64-linux-gnu.so [212/253] Linking target sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors.cpython-315-x86_64-linux-gnu.so [213/253] Linking target sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors_classmode.cpython-315-x86_64-linux-gnu.so [214/253] Linking target sklearn/cluster/_k_means_lloyd.cpython-315-x86_64-linux-gnu.so [215/253] Linking target sklearn/cluster/_k_means_elkan.cpython-315-x86_64-linux-gnu.so [216/253] Linking target sklearn/cluster/_k_means_common.cpython-315-x86_64-linux-gnu.so [217/253] Linking target sklearn/cluster/_hierarchical_fast.cpython-315-x86_64-linux-gnu.so [218/253] Linking target sklearn/cluster/_k_means_minibatch.cpython-315-x86_64-linux-gnu.so [219/253] Linking target sklearn/cluster/_hdbscan/_linkage.cpython-315-x86_64-linux-gnu.so [220/253] Linking target sklearn/decomposition/_cdnmf_fast.cpython-315-x86_64-linux-gnu.so [221/253] Linking target sklearn/ensemble/_gradient_boosting.cpython-315-x86_64-linux-gnu.so [222/253] Linking target sklearn/decomposition/_online_lda_fast.cpython-315-x86_64-linux-gnu.so [223/253] Linking target sklearn/cluster/_hdbscan/_tree.cpython-315-x86_64-linux-gnu.so [224/253] Linking target sklearn/ensemble/_hist_gradient_boosting/_gradient_boosting.cpython-315-x86_64-linux-gnu.so [225/253] Linking target sklearn/cluster/_hdbscan/_reachability.cpython-315-x86_64-linux-gnu.so [226/253] Linking target sklearn/datasets/_svmlight_format_fast.cpython-315-x86_64-linux-gnu.so [227/253] Linking target sklearn/ensemble/_hist_gradient_boosting/_binning.cpython-315-x86_64-linux-gnu.so [228/253] Linking target sklearn/ensemble/_hist_gradient_boosting/_bitset.cpython-315-x86_64-linux-gnu.so [229/253] Linking target sklearn/ensemble/_hist_gradient_boosting/common.cpython-315-x86_64-linux-gnu.so [230/253] Linking target sklearn/ensemble/_hist_gradient_boosting/_predictor.cpython-315-x86_64-linux-gnu.so [231/253] Linking target sklearn/ensemble/_hist_gradient_boosting/histogram.cpython-315-x86_64-linux-gnu.so [232/253] Linking target sklearn/ensemble/_hist_gradient_boosting/splitting.cpython-315-x86_64-linux-gnu.so [233/253] Linking target sklearn/feature_extraction/_hashing_fast.cpython-315-x86_64-linux-gnu.so [234/253] Linking target sklearn/manifold/_utils.cpython-315-x86_64-linux-gnu.so [235/253] Linking target sklearn/manifold/_barnes_hut_tsne.cpython-315-x86_64-linux-gnu.so [236/253] Linking target sklearn/linear_model/_sag_fast.cpython-315-x86_64-linux-gnu.so [237/253] Linking target sklearn/neighbors/_partition_nodes.cpython-315-x86_64-linux-gnu.so [238/253] Linking target sklearn/linear_model/_cd_fast.cpython-315-x86_64-linux-gnu.so [239/253] Linking target sklearn/linear_model/_sgd_fast.cpython-315-x86_64-linux-gnu.so [240/253] Linking target sklearn/svm/_newrand.cpython-315-x86_64-linux-gnu.so [241/253] Linking target sklearn/neighbors/_quad_tree.cpython-315-x86_64-linux-gnu.so [242/253] Linking target sklearn/preprocessing/_csr_polynomial_expansion.cpython-315-x86_64-linux-gnu.so [243/253] Linking target sklearn/neighbors/_ball_tree.cpython-315-x86_64-linux-gnu.so [244/253] Linking target sklearn/neighbors/_kd_tree.cpython-315-x86_64-linux-gnu.so [245/253] Linking target sklearn/svm/_liblinear.cpython-315-x86_64-linux-gnu.so [246/253] Linking target sklearn/preprocessing/_target_encoder_fast.cpython-315-x86_64-linux-gnu.so [247/253] Linking target sklearn/svm/_libsvm_sparse.cpython-315-x86_64-linux-gnu.so [248/253] Linking target 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/builddir/build/BUILD/python-scikit-learn-1.8.0-build/scikit_learn-1.8.0/sklearn/utils/tests/test_user_interface.py [954/955] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/scikit_learn-1.8.0/sklearn/utils/tests/test_validation.py [955/955] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/scikit_learn-1.8.0/sklearn/utils/tests/test_weight_vector.py Preparing metadata (pyproject.toml): finished with status 'done' Building wheels for collected packages: scikit-learn Building wheel for scikit-learn (pyproject.toml): started Running command Building wheel for scikit-learn (pyproject.toml) Building wheel for scikit-learn (pyproject.toml): finished with status 'done' Created wheel for scikit-learn: filename=scikit_learn-1.8.0-cp315-cp315-linux_x86_64.whl size=29121727 sha256=6188168be23bca43d76859e4d3bca9804794e9032373a91c7b2856b545d2d0f7 Stored in directory: /builddir/build/BUILD/python-scikit-learn-1.8.0-build/.pyproject-builddir/pip-ephem-wheel-cache-k1sciab1/wheels/b0/b4/64/cc26cb1bd440924c680f0b5da24b82b8eec07bf263d18bc483 Successfully built scikit-learn + RPM_EC=0 ++ jobs -p + exit 0 Executing(%install): /bin/sh -e /var/tmp/rpm-tmp.VufXqZ + umask 022 + cd /builddir/build/BUILD/python-scikit-learn-1.8.0-build + '[' /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT '!=' / ']' + rm -rf /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT ++ dirname /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT + mkdir -p /builddir/build/BUILD/python-scikit-learn-1.8.0-build + mkdir /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT + CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CFLAGS + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CXXFLAGS + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FFLAGS + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FCFLAGS + VALAFLAGS=-g + export VALAFLAGS + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + export RUSTFLAGS + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-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-1.8.0 ++ ls /builddir/build/BUILD/python-scikit-learn-1.8.0-build/pyproject-wheeldir/scikit_learn-1.8.0-cp315-cp315-linux_x86_64.whl ++ xargs basename --multiple ++ sed -E 's/([^-]+)-([^-]+)-.+\.whl/\1==\2/' + specifier=scikit_learn==1.8.0 + '[' -z scikit_learn==1.8.0 ']' + PIP_CONFIG_FILE=/dev/null + TMPDIR=/builddir/build/BUILD/python-scikit-learn-1.8.0-build/.pyproject-builddir + /usr/bin/python3 -m pip install --root /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT --prefix /usr --no-deps --disable-pip-version-check --progress-bar off --verbose --ignore-installed --no-warn-script-location --no-index --no-cache-dir --find-links /builddir/build/BUILD/python-scikit-learn-1.8.0-build/pyproject-wheeldir scikit_learn==1.8.0 Using pip 26.2.1 from /usr/lib/python3.15/site-packages/pip (python 3.15) Looking in links: /builddir/build/BUILD/python-scikit-learn-1.8.0-build/pyproject-wheeldir Processing /builddir/build/BUILD/python-scikit-learn-1.8.0-build/pyproject-wheeldir/scikit_learn-1.8.0-cp315-cp315-linux_x86_64.whl Installing collected packages: scikit_learn Successfully installed scikit_learn-1.8.0 + '[' -d /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/bin ']' + rm -f /builddir/build/BUILD/python-scikit-learn-1.8.0-build/python-scikit-learn-1.8.0-2.fc46.x86_64-pyproject-ghost-distinfo + site_dirs=() + '[' -d /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib/python3.15/site-packages ']' + '[' /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages '!=' /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib/python3.15/site-packages ']' + '[' -d /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages ']' + site_dirs+=("/usr/lib64/python3.15/site-packages") + for site_dir in ${site_dirs[@]} + for distinfo in /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT$site_dir/*.dist-info + echo '%ghost %dir /usr/lib64/python3.15/site-packages/scikit_learn-1.8.0.dist-info' +++ basename /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/scikit_learn-1.8.0.dist-info ++ PYTHONPATH=/usr/lib/rpm/redhat ++ /usr/bin/python3 -sBc 'import sys; from pyproject_save_files import canonical_name_from_distinfo; print(canonical_name_from_distinfo(sys.argv[1]))' scikit_learn-1.8.0.dist-info + _normalized=scikit-learn + echo '%ghost %dir /usr/lib64/python3.15/site-packages/scikit_learn-1.8.0.dist-info' + sed -i s/pip/rpm/ /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/scikit_learn-1.8.0.dist-info/INSTALLER + PYTHONPATH=/usr/lib/rpm/redhat + /usr/bin/python3 -B /usr/lib/rpm/redhat/pyproject_preprocess_record.py --buildroot /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT --record /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/scikit_learn-1.8.0.dist-info/RECORD --output /builddir/build/BUILD/python-scikit-learn-1.8.0-build/python-scikit-learn-1.8.0-2.fc46.x86_64-pyproject-record + rm -fv /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/scikit_learn-1.8.0.dist-info/RECORD removed '/builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/scikit_learn-1.8.0.dist-info/RECORD' + rm -fv /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/scikit_learn-1.8.0.dist-info/REQUESTED removed '/builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/scikit_learn-1.8.0.dist-info/REQUESTED' + '[' -f /builddir/build/BUILD/python-scikit-learn-1.8.0-build/python-scikit-learn-1.8.0-2.fc46.x86_64-pyproject-dep-overrides ']' ++ wc -l /builddir/build/BUILD/python-scikit-learn-1.8.0-build/python-scikit-learn-1.8.0-2.fc46.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-build/python-scikit-learn-1.8.0-2.fc46.x86_64-pyproject-files --output-modules /builddir/build/BUILD/python-scikit-learn-1.8.0-build/python-scikit-learn-1.8.0-2.fc46.x86_64-pyproject-modules --buildroot /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT --sitelib /usr/lib/python3.15/site-packages --sitearch /usr/lib64/python3.15/site-packages --python-version 3.15 --pyproject-record /builddir/build/BUILD/python-scikit-learn-1.8.0-build/python-scikit-learn-1.8.0-2.fc46.x86_64-pyproject-record --prefix /usr sklearn + /usr/bin/find-debuginfo -j4 --strict-build-id -m -i --build-id-seed 1.8.0-2.fc46 --unique-debug-suffix -1.8.0-2.fc46.x86_64 --unique-debug-src-base python-scikit-learn-1.8.0-2.fc46.x86_64 --run-dwz --dwz-low-mem-die-limit 10000000 --dwz-max-die-limit 110000000 --remove-section .gnu.build.attributes -S debugsourcefiles.list /builddir/build/BUILD/python-scikit-learn-1.8.0-build/scikit_learn-1.8.0 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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/builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/_loss/tests/__pycache__/test_loss.cpython-315.pyc: replacing with normalized version /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/utils/tests/__pycache__/test_estimator_checks.cpython-315.pyc: replacing with normalized version Scanned 270 directories and 2296 files, processed 968 inodes, 886 modified (520 replaced + 366 rewritten), 0 unsupported format, 0 errors + /usr/bin/linkdupes --brp /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr Scanned 269 directories and 2296 files, considered 2296 files, read 211 files, linked 66 files, 0 errors sum of sizes of linked files: 938 bytes Reading /builddir/build/BUILD/python-scikit-learn-1.8.0-build/SPECPARTS/rpm-debuginfo.specpart Executing(%check): /bin/sh -e /var/tmp/rpm-tmp.4jE5L8 + umask 022 + cd /builddir/build/BUILD/python-scikit-learn-1.8.0-build + CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CFLAGS + CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer ' + export CXXFLAGS + FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FFLAGS + FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -m64 -march=x86-64 -mtune=generic -fasynchronous-unwind-tables -fstack-clash-protection -fcf-protection -mtls-dialect=gnu2 -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules ' + export FCFLAGS + VALAFLAGS=-g + export VALAFLAGS + RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn' + export RUSTFLAGS + LDFLAGS='-Wl,-z,relro -Wl,--as-needed -Wl,-z,pack-relative-relocs -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-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-1.8.0 ~/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages ~/build/BUILD/python-scikit-learn-1.8.0-build/scikit_learn-1.8.0 + export PYTHONDONTWRITEBYTECODE=1 + PYTHONDONTWRITEBYTECODE=1 + export 'PYTEST_ADDOPTS=-p no:cacheprovider' + PYTEST_ADDOPTS='-p no:cacheprovider' + pushd /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages + pytest --deselect 'sklearn/neighbors/tests/test_kd_tree.py::test_kdtree_picklable_with_joblib[KDTree64]' --deselect 'sklearn/neighbors/tests/test_kd_tree.py::test_kdtree_picklable_with_joblib[KDTree32]' --deselect 'sklearn/neighbors/tests/test_neighbors.py::test_knn_forcing_backend[ball_tree-loky]' --deselect 'sklearn/neighbors/tests/test_neighbors.py::test_knn_forcing_backend[kd_tree-loky]' --deselect 'sklearn/neighbors/tests/test_neighbors.py::test_knn_forcing_backend[auto-loky]' sklearn ============================= test session starts ============================== platform linux -- Python 3.15.0, pytest-9.1.1, pluggy-1.6.0 rootdir: /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages collected 41974 items / 5 deselected / 1 skipped / 41969 selected sklearn/_loss/tests/test_link.py ....................... 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[100%] =============================== warnings summary =============================== ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/cross_decomposition/tests/test_pls.py::test_scale_and_stability, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/datasets/tests/test_common.py::test_common_check_return_X_y, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/datasets/tests/test_common.py::test_common_check_as_frame, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/datasets/tests/test_common.py::test_common_check_pandas_dependency, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/decomposition/tests/test_pca.py::test_pca_array_api_compliance, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/decomposition/tests/test_pca.py::test_pca_mle_array_api_compliance, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/ensemble/tests/test_bagging.py::test_sparse_classification, argvalues type: product Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/ensemble/tests/test_forest.py::test_importances, argvalues type: chain Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/ensemble/tests/test_weight_boosting.py::test_sparse_classification, argvalues type: zip Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/ensemble/tests/test_weight_boosting.py::test_sparse_regression, argvalues type: zip Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/feature_extraction/tests/test_text.py::test_tfidf_transformer_sparse, argvalues type: product Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) sklearn/datasets/_base.py:1007: 6 warnings sklearn/datasets/tests/test_base.py: 3 warnings sklearn/datasets/tests/test_common.py: 4 warnings sklearn/decomposition/tests/test_pca.py: 7 warnings sklearn/ensemble/tests/test_weight_boosting.py: 1 warning sklearn/manifold/tests/test_isomap.py: 1 warning sklearn/manifold/tests/test_mds.py: 1 warning sklearn/model_selection/tests/test_validation.py: 1 warning sklearn/svm/tests/test_sparse.py: 2 warnings sklearn/tests/test_naive_bayes.py: 1 warning /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/datasets/_base.py:1007: DeprecationWarning: Setting the shape on a NumPy array has been deprecated in NumPy 2.5. As an alternative, you can create a new view using np.reshape (with copy=False if needed). images.shape = (-1, 8, 8) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/linear_model/tests/test_ridge.py::test_solver_consistency, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/linear_model/tests/test_ridge.py::test_ridge_array_api_compliance, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/linear_model/tests/test_ridge.py::test_ridge_classifier_multilabel_array_api, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/linear_model/tests/test_ridge.py::test_array_api_error_and_warnings_for_solver_parameter, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/metrics/cluster/tests/test_common.py::test_permute_labels, argvalues type: chain Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/metrics/cluster/tests/test_common.py::test_format_invariance, argvalues type: chain Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/metrics/cluster/tests/test_common.py::test_returned_value_consistency, argvalues type: chain Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/metrics/cluster/tests/test_common.py::test_array_api_compliance, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/metrics/cluster/tests/test_supervised.py::test_entropy_array_api, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/metrics/tests/test_classification.py::test_confusion_matrix_array_api, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/metrics/tests/test_classification.py::test_probabilistic_metrics_array_api, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/metrics/tests/test_classification.py::test_probabilistic_metrics_multilabel_array_api, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/metrics/tests/test_common.py::test_continuous_inf_nan_input, argvalues type: chain Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/metrics/tests/test_common.py::test_array_api_compliance, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_array_api, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/metrics/tests/test_pairwise.py::test_pairwise_parallel_array_api, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/metrics/tests/test_pairwise.py::test_pairwise_kernels_array_api, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/mixture/tests/test_gaussian_mixture.py::test_gaussian_mixture_array_api_compliance, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/mixture/tests/test_gaussian_mixture.py::test_gaussian_mixture_raises_where_array_api_not_implemented, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/model_selection/tests/test_search.py::test_array_api_search_cv_classifier, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/model_selection/tests/test_split.py::test_array_api_train_test_split, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/model_selection/tests/test_validation.py::test_cross_val_predict_array_api_compliance, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/neighbors/tests/test_ball_tree.py::test_ball_tree_query_metrics, argvalues type: chain Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/neighbors/tests/test_ball_tree.py::test_query_haversine, argvalues type: zip Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/neighbors/tests/test_ball_tree.py::test_ball_tree_numerical_consistency, argvalues type: chain Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/neighbors/tests/test_ball_tree.py::test_kernel_density_numerical_consistency, argvalues type: chain Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/neighbors/tests/test_lof.py::test_novelty_true_common_tests, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/neighbors/tests/test_neighbors_tree.py::test_nn_tree_query, argvalues type: chain Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/preprocessing/tests/test_data.py::test_standard_scaler_sample_weight, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/preprocessing/tests/test_data.py::test_standard_scaler_sample_weight_array_api, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/preprocessing/tests/test_data.py::test_preprocessing_array_api_compliance, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/preprocessing/tests/test_data.py::test_standard_scaler_array_api_compliance, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/preprocessing/tests/test_data.py::test_binarizer_array_api_int, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/preprocessing/tests/test_label.py::test_label_binarizer_array_api_compliance, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/preprocessing/tests/test_label.py::test_label_binarize_array_api_compliance, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/preprocessing/tests/test_label.py::test_label_encoder_array_api_compliance, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/preprocessing/tests/test_polynomial.py::test_polynomial_features_array_api_compliance, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/preprocessing/tests/test_polynomial.py::test_polynomial_features_array_api_raises_on_order_F, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/svm/tests/test_sparse.py::test_linearsvc, argvalues type: zip Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/tests/test_calibration.py::test_temperature_scaling_array_api_compliance, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/tests/test_calibration.py::test_temperature_scaling_array_api_with_str_y_estimator_not_prefit, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) 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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/tests/test_common.py::test_estimators, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) sklearn/utils/estimator_checks.py:365 /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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( ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/tests/test_common.py::test_check_inplace_ensure_writeable, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/tests/test_naive_bayes.py::test_gnb_array_api_compliance, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/tests/test_pipeline.py::test_verbose, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/tree/tests/test_tree.py::test_explicit_sparse_zeros, argvalues type: zip Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/tree/tests/test_tree.py::test_splitter_serializable, argvalues type: chain Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/tree/tests/test_tree.py::test_missing_value_is_predictive, argvalues type: zip Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/utils/tests/test_array_api.py::test_average, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/utils/tests/test_array_api.py::test_average_raises_with_wrong_dtype, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/utils/tests/test_array_api.py::test_average_raises_with_invalid_parameters, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/utils/tests/test_array_api.py::test_ravel, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/utils/tests/test_array_api.py::test_indexing_dtype, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/utils/tests/test_array_api.py::test_max_precision_float_dtype, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/utils/tests/test_array_api.py::test_isin, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/utils/tests/test_array_api.py::test_count_nonzero, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/utils/tests/test_array_api.py::test_fill_diagonal, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/utils/tests/test_array_api.py::test_add_to_diagonal, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/utils/tests/test_array_api.py::test_median, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/utils/tests/test_array_api.py::test_logsumexp_like_scipy_logsumexp, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/utils/tests/test_array_api.py::test_half_multinomial_loss, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/utils/tests/test_extmath.py::test_incremental_weighted_mean_and_variance_array_api, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/utils/tests/test_extmath.py::test_randomized_svd_array_api_compliance, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/utils/tests/test_extmath.py::test_randomized_range_finder_array_api_compliance, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/utils/tests/test_indexing.py::test_determine_key_type_array_api, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/utils/tests/test_indexing.py::test_safe_indexing_array_api_support, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/utils/tests/test_multiclass.py::test_is_multilabel_array_api_compliance, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/utils/tests/test_parallel.py::test_filter_warning_propagates, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/utils/tests/test_seq_dataset.py::test_seq_dataset_shuffle, argvalues type: product Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/utils/tests/test_stats.py::test_weighted_percentile_array_api_consistency, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) sklearn/utils/_typedefs.pyx:21 /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/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): ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/utils/tests/test_validation.py::test_check_consistent_length_array_api, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/utils/tests/test_validation.py::test_check_sample_weight_array_api, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/utils/tests/test_validation.py::test_check_pos_label_consistency_array_api, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) ../../../../../../../../../usr/lib/python3.15/site-packages/_pytest/python.py:124 /usr/lib/python3.15/site-packages/_pytest/python.py:124: PytestRemovedIn10Warning: Passing a non-Collection iterable to parametrize is deprecated. Test: sklearn/utils/tests/test_validation.py::test_check_pos_label_consistency_invalid_array_api, argvalues type: generator Please convert to a list or tuple. See https://docs.pytest.org/en/stable/deprecations.html#parametrize-iterators metafunc.parametrize(*marker.args, **marker.kwargs, _param_mark=marker) sklearn/cluster/tests/test_affinity_propagation.py::test_affinity_propagation_equal_points /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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/python3.15/site-packages/numpy/_core/_methods.py:188: RuntimeWarning: invalid value encountered in subtract x = um.subtract(arr, arrmean, out=...) sklearn/covariance/tests/test_robust_covariance.py::test_mcd[42] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/covariance/_robust_covariance.py:188: RuntimeWarning: Determinant has increased; this should not happen: log(det) > log(previous_det) (-55.954458648512727 > -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-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/covariance/_robust_covariance.py:188: RuntimeWarning: Determinant has increased; this should not happen: log(det) > log(previous_det) (-54.656484565092605 > -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-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/covariance/_robust_covariance.py:188: RuntimeWarning: Determinant has increased; this should not happen: log(det) > log(previous_det) (-55.621074422579838 > -55.807528216658696). 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-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/covariance/_robust_covariance.py:188: RuntimeWarning: Determinant has increased; this should not happen: log(det) > log(previous_det) (-55.753134144592906 > -55.807528216658994). 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-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/covariance/_robust_covariance.py:188: RuntimeWarning: Determinant has increased; this should not happen: log(det) > log(previous_det) (-55.590615215095298 > -57.630836043621983). 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-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/covariance/_robust_covariance.py:188: RuntimeWarning: Determinant has increased; this should not happen: log(det) > log(previous_det) (-56.216103747181421 > -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-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/covariance/_robust_covariance.py:188: RuntimeWarning: Determinant has increased; this should not happen: log(det) > log(previous_det) (-55.570812587799125 > -58.116343859403756). 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-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/covariance/_robust_covariance.py:188: RuntimeWarning: Determinant has increased; this should not happen: log(det) > log(previous_det) (-55.065886686160241 > -57.487735199981245). 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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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::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_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-build/BUILDROOT/usr/lib64/python3.15/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] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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: 25 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/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: 16 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/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: 14 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/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::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] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/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[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_online_numerical_consistency[cd] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/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: 21 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/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: 44 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/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: 14 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/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: 14 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/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: 22 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/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: 27 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/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: 33 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/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: 31 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/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::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-build/BUILDROOT/usr/lib64/python3.15/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: 8.058e-08 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py: 19 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/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::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-lars] 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_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-build/BUILDROOT/usr/lib64/python3.15/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_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_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_cd-lars] 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_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-build/BUILDROOT/usr/lib64/python3.15/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_minibatch_dictionary_learning_dtype_match[float32-float32-lasso_cd-lars] 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_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-build/BUILDROOT/usr/lib64/python3.15/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::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_online_numerical_consistency[cd] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/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_dictionary_learning_dtype_match[float32-float32-lasso_cd-lars] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_numerical_consistency[cd] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/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: 8.058e-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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/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: 1.462e-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-lars] 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-build/BUILDROOT/usr/lib64/python3.15/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::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-build/BUILDROOT/usr/lib64/python3.15/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: 4.853e-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-build/BUILDROOT/usr/lib64/python3.15/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: 1.490e-06, tolerance: 1.246e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_numerical_consistency[cd] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/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_numerical_consistency[cd] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/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::test_dict_learning_numerical_consistency[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-build/BUILDROOT/usr/lib64/python3.15/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_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-build/BUILDROOT/usr/lib64/python3.15/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] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/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: 5.441e-08 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-build/BUILDROOT/usr/lib64/python3.15/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::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-build/BUILDROOT/usr/lib64/python3.15/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_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_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-build/BUILDROOT/usr/lib64/python3.15/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::test_dict_learning_online_dtype_match[float32-float32-cd] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/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_numerical_consistency[cd] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/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::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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/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] sklearn/decomposition/tests/test_dict_learning.py::test_dict_learning_online_numerical_consistency[cd] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/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_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-build/BUILDROOT/usr/lib64/python3.15/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_dtype_match[float32-float32-cd] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/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: 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-build/BUILDROOT/usr/lib64/python3.15/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_dict_learning_online_dtype_match[float32-float32-cd] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/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: 4.853e-08 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-build/BUILDROOT/usr/lib64/python3.15/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_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-build/BUILDROOT/usr/lib64/python3.15/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_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-build/BUILDROOT/usr/lib64/python3.15/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_numerical_consistency[cd] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/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: 1.462e-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-build/BUILDROOT/usr/lib64/python3.15/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: 6.557e-07, tolerance: 1.198e-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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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::test_dict_learning_online_numerical_consistency[cd] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/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_dict_learning.py::test_dict_learning_online_numerical_consistency[cd] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/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_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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/decomposition/_lda.py:921: RuntimeWarning: invalid value encountered in scalar divide perword_bound = bound / word_cnt sklearn/decomposition/tests/test_pca.py::test_pca_zero_noise_variance_edge_cases[full] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/decomposition/_base.py:82: LinAlgWarning: An ill-conditioned matrix detected: slice 0 has rcond = 2.190834626964096e-20. return linalg_inv(self.get_covariance()) sklearn/decomposition/tests/test_pca.py::test_pca_zero_noise_variance_edge_cases[randomized] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/decomposition/_base.py:82: LinAlgWarning: An ill-conditioned matrix detected: slice 0 has rcond = 1.9958832711256494e-20. return linalg_inv(self.get_covariance()) 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-MiniBatchSparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/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] 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-build/BUILDROOT/usr/lib64/python3.15/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-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-build/BUILDROOT/usr/lib64/python3.15/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-SparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/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] 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-MiniBatchSparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/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-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-build/BUILDROOT/usr/lib64/python3.15/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-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-MiniBatchSparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-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] 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-build/BUILDROOT/usr/lib64/python3.15/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-MiniBatchSparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/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] 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] 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-build/BUILDROOT/usr/lib64/python3.15/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] 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-build/BUILDROOT/usr/lib64/python3.15/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] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/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-MiniBatchSparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/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-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] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/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::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-MiniBatchSparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/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] 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-build/BUILDROOT/usr/lib64/python3.15/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-MiniBatchSparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/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] 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-build/BUILDROOT/usr/lib64/python3.15/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::test_sparse_pca_dtype_match[float32-float32-cd-SparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/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: 1.228e-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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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::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-build/BUILDROOT/usr/lib64/python3.15/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] 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-build/BUILDROOT/usr/lib64/python3.15/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] 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-build/BUILDROOT/usr/lib64/python3.15/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-MiniBatchSparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/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] 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-build/BUILDROOT/usr/lib64/python3.15/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] 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-build/BUILDROOT/usr/lib64/python3.15/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-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-build/BUILDROOT/usr/lib64/python3.15/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: 2.111e-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-build/BUILDROOT/usr/lib64/python3.15/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: 2.111e-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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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: 1.060e-07 model = cd_fast.enet_coordinate_descent_gram( 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-build/BUILDROOT/usr/lib64/python3.15/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: 1.184e-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-build/BUILDROOT/usr/lib64/python3.15/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: 1.184e-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-build/BUILDROOT/usr/lib64/python3.15/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: 1.184e-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-build/BUILDROOT/usr/lib64/python3.15/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-MiniBatchSparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/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: 1.060e-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-build/BUILDROOT/usr/lib64/python3.15/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: 1.184e-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-build/BUILDROOT/usr/lib64/python3.15/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-MiniBatchSparsePCA] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/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: 1.138e-07 model = cd_fast.enet_coordinate_descent_gram( sklearn/ensemble/tests/test_bagging.py: 33 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/ensemble/_bagging.py:1179: 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-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/ensemble/_bagging.py:981: RuntimeWarning: invalid value encountered in divide oob_decision_function = predictions / predictions.sum(axis=1)[:, np.newaxis] sklearn/ensemble/tests/test_bagging.py::test_draw_indices_using_sample_weight[0.8-False-False-BaggingRegressor] sklearn/ensemble/tests/test_bagging.py::test_draw_indices_using_sample_weight[0.8-False-False-BaggingClassifier] sklearn/ensemble/tests/test_bagging.py::test_draw_indices_using_sample_weight[0.8-False-True-BaggingRegressor] sklearn/ensemble/tests/test_bagging.py::test_draw_indices_using_sample_weight[0.8-False-True-BaggingClassifier] sklearn/ensemble/tests/test_bagging.py::test_draw_indices_using_sample_weight[0.8-True-False-BaggingRegressor] sklearn/ensemble/tests/test_bagging.py::test_draw_indices_using_sample_weight[0.8-True-False-BaggingClassifier] sklearn/ensemble/tests/test_bagging.py::test_draw_indices_using_sample_weight[0.8-True-True-BaggingRegressor] sklearn/ensemble/tests/test_bagging.py::test_draw_indices_using_sample_weight[0.8-True-True-BaggingClassifier] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/ensemble/_bagging.py:98: UserWarning: Using the fractional value max_samples=0.8 when the total sum of sample weights is 3.0 results in a low number (2) of bootstrap samples. We recommend passing `max_samples` as an integer instead. warn( sklearn/ensemble/tests/test_bagging.py::test_get_n_samples_bootstrap /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/ensemble/_bagging.py:98: UserWarning: Using the fractional value max_samples=1e-05 when the number of samples is 10 results in a low number (1) of bootstrap samples. We recommend passing `max_samples` as an integer instead. warn( sklearn/ensemble/tests/test_bagging.py::test_oob_score_removed_on_warm_start /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/ensemble/_bagging.py:975: UserWarning: Some inputs do not have OOB scores. This probably means too few estimators were used to compute any reliable oob estimates. warn( sklearn/ensemble/tests/test_bagging.py::test_bagging_regressor_with_missing_inputs sklearn/tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[None] sklearn/tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[None] sklearn/tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[csc_matrix] sklearn/tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[csc_array] /usr/lib64/python3.15/site-packages/numpy/_core/fromnumeric.py:83: RuntimeWarning: invalid value encountered in reduce return ufunc.reduce(obj, axis, dtype, out, **passkwargs) sklearn/ensemble/tests/test_bagging.py: 9 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-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/tree/_classes.py:1092: RuntimeWarning: divide by zero encountered in log return np.log(proba) sklearn/ensemble/tests/test_common.py: 14 warnings sklearn/model_selection/tests/test_validation.py: 63 warnings sklearn/tests/test_multioutput.py: 1 warning sklearn/tests/test_pipeline.py: 5 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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/ensemble/_forest.py:860: UserWarning: class_weight presets "balanced" or "balanced_subsample" are not recommended for warm_start if the fitted data differs from the full dataset. In order to use "balanced" weights, use compute_class_weight ("balanced", classes, y). In place of y you can use a large enough sample of the full training set target to properly estimate the class frequency distributions. Pass the resulting weights as the class_weight parameter. warn( sklearn/ensemble/tests/test_forest.py::test_oob_not_computed_twice[ExtraTreesRegressor] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/ensemble/_forest.py:611: UserWarning: Some inputs do not have OOB scores. This probably means too few trees were used to compute any reliable OOB estimates. warn( sklearn/ensemble/tests/test_forest.py::test_mse_criterion_object_segfault_smoke_test[ExtraTreesRegressor] sklearn/ensemble/tests/test_forest.py::test_mse_criterion_object_segfault_smoke_test[RandomForestRegressor] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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/python3.15/site-packages/_pytest/raises.py:613: 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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/gaussian_process/kernels.py:440: ConvergenceWarning: The optimal value found for dimension 0 of parameter k1__k2__length_scale is close to the specified lower bound 0.001. Decreasing the bound and calling fit again may find a better value. warnings.warn( sklearn/gaussian_process/tests/test_gpr.py::test_anisotropic_kernel /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/gaussian_process/_gpr.py:670: ConvergenceWarning: lbfgs failed to converge after 9 iteration(s) (status=2): ABNORMAL: You might also want to scale the data as shown in: https://scikit-learn.org/stable/modules/preprocessing.html _check_optimize_result("lbfgs", opt_res) sklearn/gaussian_process/tests/test_gpr.py::test_random_starts /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/gaussian_process/kernels.py:355: RuntimeWarning: invalid value encountered in log return np.log(np.vstack(bounds)) sklearn/gaussian_process/tests/test_gpr.py::test_gpr_predict_input_not_modified /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/gaussian_process/kernels.py:450: ConvergenceWarning: The optimal value found for dimension 0 of parameter constant_value is close to the specified upper bound 100000.0. Increasing the bound and calling fit again may find a better value. warnings.warn( sklearn/gaussian_process/tests/test_gpr.py::test_gpr_predict_input_not_modified /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/gaussian_process/_gpr.py:490: UserWarning: Predicted variances smaller than 0. Setting those variances to 0. warnings.warn( sklearn/impute/tests/test_common.py: 16 warnings sklearn/impute/tests/test_impute.py: 1 warning /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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: 1 warning sklearn/linear_model/tests/test_logistic.py: 3 warnings sklearn/linear_model/tests/test_ridge.py: 6 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_huber.py:348: ConvergenceWarning: lbfgs failed to converge after 100 iteration(s) (status=1): STOP: TOTAL NO. OF ITERATIONS REACHED LIMIT Increase the number of iterations to improve the convergence (max_iter=100). You might also want to scale the data as shown in: https://scikit-learn.org/stable/modules/preprocessing.html self.n_iter_ = _check_optimize_result("lbfgs", opt_res, self.max_iter) sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized[wide-42-True-cholesky] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_ridge.py:265: LinAlgWarning: An ill-conditioned matrix detected: slice 0 has rcond = 1.9919300522929797e-17. dual_coef = linalg.solve(K, y, assume_a="pos", overwrite_a=False) sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_hstacked_X[wide-42-True-cholesky] 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-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_ridge.py:267: 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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_ridge.py:265: LinAlgWarning: An ill-conditioned matrix detected: slice 0 has rcond = 5.745071893582923e-17. dual_coef = linalg.solve(K, y, assume_a="pos", overwrite_a=False) sklearn/linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeCV-3] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_ridge.py:265: LinAlgWarning: An ill-conditioned matrix detected: slice 0 has rcond = 5.492925629748892e-17. dual_coef = linalg.solve(K, y, assume_a="pos", overwrite_a=False) sklearn/linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeCV-3] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_ridge.py:265: LinAlgWarning: An ill-conditioned matrix detected: slice 0 has rcond = 3.152175636859821e-17. dual_coef = linalg.solve(K, y, assume_a="pos", overwrite_a=False) sklearn/linear_model/tests/test_ridge.py: 57 warnings sklearn/model_selection/tests/test_search.py: 10 warnings /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_ridge.py:228: LinAlgWarning: An ill-conditioned matrix detected: slice 0 has rcond = 4.538655701946972e-18. return linalg.solve(A, Xy, assume_a="pos", overwrite_a=True).T sklearn/linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeClassifierCV-3] sklearn/model_selection/tests/test_search.py::test_search_with_2d_array /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/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] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_ridge.py:265: LinAlgWarning: An ill-conditioned matrix detected: slice 0 has rcond = 7.769675273623203e-17. dual_coef = linalg.solve(K, y, assume_a="pos", overwrite_a=False) sklearn/linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeClassifierCV-3] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_ridge.py:265: LinAlgWarning: An ill-conditioned matrix detected: slice 0 has rcond = 2.3840432510556323e-17. dual_coef = linalg.solve(K, y, assume_a="pos", overwrite_a=False) sklearn/linear_model/tests/test_ridge.py::test_lbfgs_solver_consistency[0.001] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/linear_model/_ridge.py:371: ConvergenceWarning: The lbfgs solver did not converge. Try increasing max_iter or tol. Currently: max_iter=500000 and tol=1e-16 warnings.warn( sklearn/linear_model/tests/test_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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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/python3.15/site-packages/scipy/sparse/_index.py:174: 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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/metrics/_classification.py:1833: 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-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/metrics/_classification.py:1833: 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-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/metrics/_classification.py:1833: 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-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/metrics/_classification.py:2439: 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-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/metrics/_classification.py:2459: 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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/metrics/_classification.py:620: 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-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/metrics/_classification.py:198: 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-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/metrics/_classification.py:2924: 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-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/metrics/_classification.py:1886: 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-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/metrics/_classification.py:198: 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-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/metrics/_classification.py:198: 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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/metrics/_classification.py:1833: 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-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/metrics/_classification.py:1833: 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-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/metrics/_classification.py:1833: 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-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/metrics/_classification.py:1833: 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-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/metrics/_classification.py:1833: 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-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/metrics/_classification.py:1833: 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-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/metrics/_classification.py:1833: 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-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/metrics/_classification.py:1833: 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-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/metrics/_classification.py:1833: 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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/metrics/_regression.py:949: RuntimeWarning: divide by zero encountered in divide output_scores = 1 - (numerator / denominator) 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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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/python3.15/site-packages/numpy/_core/numeric.py:475: 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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-sokalsneath] sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[float64-42-sokalsneath] /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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/python3.15/site-packages/numpy/lib/_nanfunctions_impl.py:1593: 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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/preprocessing/_encoders.py:261: UserWarning: Found unknown categories in columns [0, 1] during transform. These unknown categories will be encoded as the infrequent category. warnings.warn(msg, UserWarning) 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] sklearn/preprocessing/tests/test_encoders.py::test_onehotencoder_handle_unknown_warn_maps_to_infrequent /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/preprocessing/_encoders.py:261: UserWarning: Found unknown categories in columns [0] during transform. These unknown categories will be encoded as the infrequent category. warnings.warn(msg, UserWarning) 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-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/preprocessing/_encoders.py:261: UserWarning: Found unknown categories in columns [1] during transform. These unknown categories will be encoded as the infrequent category. warnings.warn(msg, UserWarning) sklearn/svm/tests/test_svm.py::test_svc_nonfinite_params[42] /usr/lib64/python3.15/site-packages/numpy/_core/_methods.py:168: 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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/site-packages/sklearn/utils/_array_api.py:878: 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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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-build/BUILDROOT/usr/lib64/python3.15/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 = 33042 passed, 8716 skipped, 5 deselected, 149 xfailed, 63 xpassed, 3933 warnings in 432.47s (0:07:12) = + popd ~/build/BUILD/python-scikit-learn-1.8.0-build/scikit_learn-1.8.0 + RPM_EC=0 ++ jobs -p + exit 0 Processing files: python3-scikit-learn-1.8.0-2.fc46.x86_64 Executing(%doc): /bin/sh -e /var/tmp/rpm-tmp.t2BsRY + umask 022 + cd /builddir/build/BUILD/python-scikit-learn-1.8.0-build + cd scikit_learn-1.8.0 + DOCDIR=/builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/share/doc/python3-scikit-learn + export LC_ALL=C.UTF-8 + LC_ALL=C.UTF-8 + export DOCDIR + /usr/bin/mkdir -p /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/share/doc/python3-scikit-learn + cp -pr /builddir/build/BUILD/python-scikit-learn-1.8.0-build/scikit_learn-1.8.0/examples /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/share/doc/python3-scikit-learn + RPM_EC=0 ++ jobs -p + exit 0 Executing(%license): /bin/sh -e /var/tmp/rpm-tmp.3eTesN + umask 022 + cd /builddir/build/BUILD/python-scikit-learn-1.8.0-build + cd scikit_learn-1.8.0 + LICENSEDIR=/builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/share/licenses/python3-scikit-learn + export LC_ALL=C.UTF-8 + LC_ALL=C.UTF-8 + export LICENSEDIR + /usr/bin/mkdir -p /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/share/licenses/python3-scikit-learn + cp -pr /builddir/build/BUILD/python-scikit-learn-1.8.0-build/scikit_learn-1.8.0/COPYING /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/share/licenses/python3-scikit-learn + cp -pr /builddir/build/BUILD/python-scikit-learn-1.8.0-build/scikit_learn-1.8.0/sklearn/svm/src/liblinear/COPYRIGHT /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT/usr/share/licenses/python3-scikit-learn + RPM_EC=0 ++ jobs -p + exit 0 /usr/lib/rpm/pythondistdeps.py:136: DeprecationWarning: Version._version is private and will be removed soon if isinstance(version._version, str): /usr/lib/rpm/pythondistdeps.py:139: DeprecationWarning: Version._version is private and will be removed soon self.epoch = version._version.epoch /usr/lib/rpm/pythondistdeps.py:140: DeprecationWarning: Version._version is private and will be removed soon self.version = list(version._version.release) /usr/lib/rpm/pythondistdeps.py:141: DeprecationWarning: Version._version is private and will be removed soon self.pre = version._version.pre /usr/lib/rpm/pythondistdeps.py:142: DeprecationWarning: Version._version is private and will be removed soon self.dev = version._version.dev /usr/lib/rpm/pythondistdeps.py:143: DeprecationWarning: Version._version is private and will be removed soon self.post = version._version.post /usr/lib/rpm/pythondistdeps.py:136: DeprecationWarning: Version._version is private and will be removed soon if isinstance(version._version, str): /usr/lib/rpm/pythondistdeps.py:139: DeprecationWarning: Version._version is private and will be removed soon self.epoch = version._version.epoch /usr/lib/rpm/pythondistdeps.py:140: DeprecationWarning: Version._version is private and will be removed soon self.version = list(version._version.release) /usr/lib/rpm/pythondistdeps.py:141: DeprecationWarning: Version._version is private and will be removed soon self.pre = version._version.pre /usr/lib/rpm/pythondistdeps.py:142: DeprecationWarning: Version._version is private and will be removed soon self.dev = version._version.dev /usr/lib/rpm/pythondistdeps.py:143: DeprecationWarning: Version._version is private and will be removed soon self.post = version._version.post Provides: python-scikit-learn = 1.8.0-2.fc46 python-sklearn = 1.8.0-2.fc46 python3-scikit-learn = 1.8.0-2.fc46 python3-scikit-learn(x86-64) = 1.8.0-2.fc46 python3.15-scikit-learn = 1.8.0-2.fc46 python3.15-sklearn = 1.8.0-2.fc46 python3.15dist(scikit-learn) = 1.8 python3dist(scikit-learn) = 1.8 Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PartialHardlinkSets) <= 4.0.4-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1 Requires: /usr/bin/python3 libc.so.6()(64bit) libc.so.6(GLIBC_2.14)(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) = 3.15 python(prerel-abi) >= 3.15.0~final0 python3.15dist(joblib) >= 1.3 python3.15dist(numpy) >= 1.24.1 python3.15dist(scipy) >= 1.10 python3.15dist(threadpoolctl) >= 3.2 rtld(GNU_HASH) Obsoletes: python-sklearn < 1.8.0-2.fc46 python3-scikit_learn < 1.5.2-2 Processing files: python-scikit-learn-debugsource-1.8.0-2.fc46.x86_64 Provides: python-scikit-learn-debugsource = 1.8.0-2.fc46 python-scikit-learn-debugsource(x86-64) = 1.8.0-2.fc46 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-1.8.0-2.fc46.x86_64 Provides: debuginfo(build-id) = 0a63480aa0d4002386fe110e5ec0983df819b885 debuginfo(build-id) = 0c37d3dca83d08e4248cd58f7afb56c35fd7bbee debuginfo(build-id) = 1fa3018ecb0fcb2b648e5f0256e4013dd51c69f2 debuginfo(build-id) = 2b7c637cfb992537cd637b95463538378fb45f2d debuginfo(build-id) = 2c7dc5a5bc6a24890ea7940bce8ddee66068bd2b debuginfo(build-id) = 2d322c916e9c7c8e099d4257db11312cb25a7bb1 debuginfo(build-id) = 2ffb0f4ea0f2b3414b50e674deb4682140894ed7 debuginfo(build-id) = 36ee34204154b0154f618733ba832362a0561f8f debuginfo(build-id) = 400b4ffd645c807934ac921f7c6dfadca3495b52 debuginfo(build-id) = 4054bdb26df9218df91be16ad775e09c912d72a6 debuginfo(build-id) = 452632fdcd753367a2227519b8992e1fa4979724 debuginfo(build-id) = 4a93750c511f78b64f8842523e1917138e7ea0e2 debuginfo(build-id) = 4b412943b38e901d6d905af07fbf69ac81d21328 debuginfo(build-id) = 4b4843eca1503417d9c677bd276ce1807f85b052 debuginfo(build-id) = 4d2c926caf921765df29f31086952baa075beefb debuginfo(build-id) = 50db16ac7aa8f37de5110ca034a4cfcb83f0fc45 debuginfo(build-id) = 51890b87e58c1f01c96bcba8a8bd879de4db0dbe debuginfo(build-id) = 5281a3f79644b21dd1dc76e5b7c8c19df72d765c debuginfo(build-id) = 528b98f9502a62a9724421b7316a488bd5dc42dc debuginfo(build-id) = 532bae0a5df3dd2d93217a6d7f9a7bd280ba69d1 debuginfo(build-id) = 59f82ea141213a2c3366f7e45471e9dd86e7d75a debuginfo(build-id) = 5c10d24156c1c5f02dadd35feb3f8add54b5c322 debuginfo(build-id) = 5d5b85dbc6241ba0015bbfa0b0b599d3dc477563 debuginfo(build-id) = 5fd47a51b6b3e1dccd40d3553411e4246c259582 debuginfo(build-id) = 61c39a0be31d455bbccccc4f89daf4f91a111544 debuginfo(build-id) = 6e002364136f156fe22548716982ee0fcd56052f debuginfo(build-id) = 6f684d4fdc0f4ca4af46cfa213f71fc9deaeb976 debuginfo(build-id) = 7200300ae4984b415c4ce9abc8751e7390803efc debuginfo(build-id) = 7257a4d7c1d8954ea1d6823d65e64813b1264011 debuginfo(build-id) = 729796e75402de28f7ff027e4b5a41e3916d8627 debuginfo(build-id) = 79abc80a0f70a24377df69b032b9c331ef399be3 debuginfo(build-id) = 7a4432f41c18533549338336f1b0f23398885f52 debuginfo(build-id) = 7a91d6c7d2bf8856b5e873d2293f455a98583f17 debuginfo(build-id) = 7f82a8524583ee7e8fc84c840dd0f38aaf1066a6 debuginfo(build-id) = 8b466313f0e9b618b65046799e5656d7e27b3cfd debuginfo(build-id) = 8b939efb1a6196dd38c114d79f6e68f3df880ec8 debuginfo(build-id) = 901ecced1447b3d524cbcdc2b493b25805c894f2 debuginfo(build-id) = 91c55753f12455218b70eb9ad2ceef61521a59c2 debuginfo(build-id) = 92a8eaee29dd0bad377a0ed3f8e1c5b157e8c046 debuginfo(build-id) = 9590782d3a7dfdbddf3bc55616df56766db97ae5 debuginfo(build-id) = 988400f0362990762e4ea644f966bb17ed57ef4f debuginfo(build-id) = 9ca8f9a1cbf622ee2158e1d735e613bb9c52e134 debuginfo(build-id) = 9db2c05975702f4adb9bd36895354ec2e0d4873a debuginfo(build-id) = a119b999418b774afcc0f0440486b2bbac44b4b2 debuginfo(build-id) = a37d40df6005db6d5f91c66041788747bd9e1f6b debuginfo(build-id) = a4fd08a38d68f0dfbf0679baf7ce086c84378584 debuginfo(build-id) = a803aca88067c7c2beedfb50e62952f1c69f7746 debuginfo(build-id) = ab7e002c8934d4316632e905d69c403208c38943 debuginfo(build-id) = b70d434f81e5ba184d22ef7d73ece3c043d49a2f debuginfo(build-id) = b87e7bf0032934afe1a1371586ecd836b4b4cc36 debuginfo(build-id) = bf9efa90a4d7f68ee8d7d3b0d4a63190f7d6efe0 debuginfo(build-id) = c1d9fcdd5bba24b4769a2dafbd47c8f1befc2ebe debuginfo(build-id) = c4e536dcc5149ccb40adbb76966a5e80e1142816 debuginfo(build-id) = c7553721e1de0e58fb2c6897146907e15a88b22c debuginfo(build-id) = c8e29aac29c72c1cc98002e9549bb7e4e4a05638 debuginfo(build-id) = c98d0857a2aafa59ac8299c2034a8e5f5080a914 debuginfo(build-id) = cbec04c522449d95fc5165e8aee38b1832173f46 debuginfo(build-id) = ccc0d62ff5f917ed3e9d1873960c032739060130 debuginfo(build-id) = ceb054c732166c0232ef86b5e2c146c9b9c0020a debuginfo(build-id) = cf4bfd655e252feafbdf2a340a900e784c0b1776 debuginfo(build-id) = d1e6fc5cd30d55074b019d3759675dc19f6d7d54 debuginfo(build-id) = d852951a2e11e798cf5f0d44eee20ffd86d6dc56 debuginfo(build-id) = da2afe0f5228fbae6eb0d4ce0c870792615a3ce6 debuginfo(build-id) = de2069d56048d6f8f6fbe523470d87e89a352f0a debuginfo(build-id) = de7d43d42f2460cc1b6fc33b2a6b5c9f13cdad7f debuginfo(build-id) = e291fbd3cce10d8f2ac225bd1587ae74ad0badc1 debuginfo(build-id) = ef7c625a7632f73df70c141f1c30cb3ddfb7e684 debuginfo(build-id) = f2ba07d8d6ea560e0d6c6c25e329f57b7cf11215 debuginfo(build-id) = fe5f67aa924725c0b4e513e302c2a0207ffa1a88 python-scikit-learn-debuginfo = 1.8.0-2.fc46 python3-scikit-learn-debuginfo = 1.8.0-2.fc46 python3-scikit-learn-debuginfo(x86-64) = 1.8.0-2.fc46 python3.15-scikit-learn-debuginfo = 1.8.0-2.fc46 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) = 1.8.0-2.fc46 Checking for unpackaged file(s): /usr/lib/rpm/check-files /builddir/build/BUILD/python-scikit-learn-1.8.0-build/BUILDROOT Wrote: /builddir/build/SRPMS/python-scikit-learn-1.8.0-2.fc46.src.rpm Wrote: /builddir/build/RPMS/python-scikit-learn-debugsource-1.8.0-2.fc46.x86_64.rpm Wrote: /builddir/build/RPMS/python3-scikit-learn-debuginfo-1.8.0-2.fc46.x86_64.rpm Wrote: /builddir/build/RPMS/python3-scikit-learn-1.8.0-2.fc46.x86_64.rpm Finish: rpmbuild python-scikit-learn-1.8.0-2.fc46.src.rpm Finish: build phase for python-scikit-learn-1.8.0-2.fc46.src.rpm INFO: chroot_scan: 1 files copied to /var/lib/copr-rpmbuild/results/chroot_scan INFO: /var/lib/mock/fedora-rawhide-x86_64-1791584070.594594/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-1.8.0-2.fc46.src.rpm) Config(child) 11 minutes 50 seconds INFO: Results and/or logs in: /var/lib/copr-rpmbuild/results INFO: Cleaning up build root ('cleanup_on_success=True') Start: clean chroot INFO: unmounting tmpfs. Finish: clean chroot Finish: run Running RPMResults tool Package info: { "packages": [ { "name": "python-scikit-learn-debugsource", "epoch": null, "version": "1.8.0", "release": "2.fc46", "arch": "x86_64" }, { "name": "python-scikit-learn", "epoch": null, "version": "1.8.0", "release": "2.fc46", "arch": "src" }, { "name": "python3-scikit-learn-debuginfo", "epoch": null, "version": "1.8.0", "release": "2.fc46", "arch": "x86_64" }, { "name": "python3-scikit-learn", "epoch": null, "version": "1.8.0", "release": "2.fc46", "arch": "x86_64" } ] } RPMResults finished