Mock Version: 6.1
Mock Version: 6.1
Mock Version: 6.1
ENTER ['do_with_status'](['bash', '--login', '-c', '/usr/bin/rpmbuild -bs --noclean --target s390x --nodeps /builddir/build/SPECS/python-scikit-learn.spec'], chrootPath='/var/lib/mock/epel10.0-build-58305437-6564208/root'env={'TERM': 'vt100', 'SHELL': '/bin/bash', 'HOME': '/builddir', 'HOSTNAME': 'mock', 'PATH': '/usr/bin:/bin:/usr/sbin:/sbin', 'PROMPT_COMMAND': 'printf "\\033]0;<mock-chroot>\\007"', 'PS1': '<mock-chroot> \\s-\\v\\$ ', 'LANG': 'C.UTF-8'}shell=Falselogger=<mockbuild.trace_decorator.getLog object at 0x3ffa83e4f50>timeout=201600uid=1000gid=425user='mockbuild'unshare_net=TrueprintOutput=Falsenspawn_args=['--capability=cap_ipc_lock', '--bind=/tmp/mock-resolv.7_wo5z1t:/etc/resolv.conf', '--bind=/dev/btrfs-control', '--bind=/dev/mapper/control', '--bind=/dev/fuse', '--bind=/dev/loop-control', '--bind=/dev/loop0', '--bind=/dev/loop1', '--bind=/dev/loop2', '--bind=/dev/loop3', '--bind=/dev/loop4', '--bind=/dev/loop5', '--bind=/dev/loop6', '--bind=/dev/loop7', '--bind=/dev/loop8', '--bind=/dev/loop9', '--bind=/dev/loop10', '--bind=/dev/loop11'])
Using nspawn with args ['--capability=cap_ipc_lock', '--bind=/tmp/mock-resolv.7_wo5z1t:/etc/resolv.conf', '--bind=/dev/btrfs-control', '--bind=/dev/mapper/control', '--bind=/dev/fuse', '--bind=/dev/loop-control', '--bind=/dev/loop0', '--bind=/dev/loop1', '--bind=/dev/loop2', '--bind=/dev/loop3', '--bind=/dev/loop4', '--bind=/dev/loop5', '--bind=/dev/loop6', '--bind=/dev/loop7', '--bind=/dev/loop8', '--bind=/dev/loop9', '--bind=/dev/loop10', '--bind=/dev/loop11']
Executing command: ['/usr/bin/systemd-nspawn', '-q', '-M', '1c6d8ee66b434c53ba92217cbcebee98', '-D', '/var/lib/mock/epel10.0-build-58305437-6564208/root', '-a', '-u', 'mockbuild', '--capability=cap_ipc_lock', '--bind=/tmp/mock-resolv.7_wo5z1t:/etc/resolv.conf', '--bind=/dev/btrfs-control', '--bind=/dev/mapper/control', '--bind=/dev/fuse', '--bind=/dev/loop-control', '--bind=/dev/loop0', '--bind=/dev/loop1', '--bind=/dev/loop2', '--bind=/dev/loop3', '--bind=/dev/loop4', '--bind=/dev/loop5', '--bind=/dev/loop6', '--bind=/dev/loop7', '--bind=/dev/loop8', '--bind=/dev/loop9', '--bind=/dev/loop10', '--bind=/dev/loop11', '--console=pipe', '--setenv=TERM=vt100', '--setenv=SHELL=/bin/bash', '--setenv=HOME=/builddir', '--setenv=HOSTNAME=mock', '--setenv=PATH=/usr/bin:/bin:/usr/sbin:/sbin', '--setenv=PROMPT_COMMAND=printf "\\033]0;<mock-chroot>\\007"', '--setenv=PS1=<mock-chroot> \\s-\\v\\$ ', '--setenv=LANG=C.UTF-8', '--resolv-conf=off', 'bash', '--login', '-c', '/usr/bin/rpmbuild -bs --noclean --target s390x --nodeps /builddir/build/SPECS/python-scikit-learn.spec'] with env {'TERM': 'vt100', 'SHELL': '/bin/bash', 'HOME': '/builddir', 'HOSTNAME': 'mock', 'PATH': '/usr/bin:/bin:/usr/sbin:/sbin', 'PROMPT_COMMAND': 'printf "\\033]0;<mock-chroot>\\007"', 'PS1': '<mock-chroot> \\s-\\v\\$ ', 'LANG': 'C.UTF-8', 'SYSTEMD_NSPAWN_TMPFS_TMP': '0', 'SYSTEMD_SECCOMP': '0'} and shell False
Building target platforms: s390x
Building for target s390x
setting SOURCE_DATE_EPOCH=1741824000
Wrote: /builddir/build/SRPMS/python-scikit-learn-1.6.1-3.el10_0.src.rpm
Child return code was: 0
ENTER ['do_with_status'](['bash', '--login', '-c', '/usr/bin/rpmbuild -br --noclean --target s390x --nodeps /builddir/build/SPECS/python-scikit-learn.spec'], chrootPath='/var/lib/mock/epel10.0-build-58305437-6564208/root'env={'TERM': 'vt100', 'SHELL': '/bin/bash', 'HOME': '/builddir', 'HOSTNAME': 'mock', 'PATH': '/usr/bin:/bin:/usr/sbin:/sbin', 'PROMPT_COMMAND': 'printf "\\033]0;<mock-chroot>\\007"', 'PS1': '<mock-chroot> \\s-\\v\\$ ', 'LANG': 'C.UTF-8'}shell=Falselogger=<mockbuild.trace_decorator.getLog object at 0x3ffa83e4f50>timeout=201600uid=1000gid=425user='mockbuild'unshare_net=TrueraiseExc=FalseprintOutput=Falsenspawn_args=['--capability=cap_ipc_lock', '--bind=/tmp/mock-resolv.7_wo5z1t:/etc/resolv.conf', '--bind=/dev/btrfs-control', '--bind=/dev/mapper/control', '--bind=/dev/fuse', '--bind=/dev/loop-control', '--bind=/dev/loop0', '--bind=/dev/loop1', '--bind=/dev/loop2', '--bind=/dev/loop3', '--bind=/dev/loop4', '--bind=/dev/loop5', '--bind=/dev/loop6', '--bind=/dev/loop7', '--bind=/dev/loop8', '--bind=/dev/loop9', '--bind=/dev/loop10', '--bind=/dev/loop11'])
Using nspawn with args ['--capability=cap_ipc_lock', '--bind=/tmp/mock-resolv.7_wo5z1t:/etc/resolv.conf', '--bind=/dev/btrfs-control', '--bind=/dev/mapper/control', '--bind=/dev/fuse', '--bind=/dev/loop-control', '--bind=/dev/loop0', '--bind=/dev/loop1', '--bind=/dev/loop2', '--bind=/dev/loop3', '--bind=/dev/loop4', '--bind=/dev/loop5', '--bind=/dev/loop6', '--bind=/dev/loop7', '--bind=/dev/loop8', '--bind=/dev/loop9', '--bind=/dev/loop10', '--bind=/dev/loop11']
Executing command: ['/usr/bin/systemd-nspawn', '-q', '-M', '32da688366144020a6dcd0a38422a0f4', '-D', '/var/lib/mock/epel10.0-build-58305437-6564208/root', '-a', '-u', 'mockbuild', '--capability=cap_ipc_lock', '--bind=/tmp/mock-resolv.7_wo5z1t:/etc/resolv.conf', '--bind=/dev/btrfs-control', '--bind=/dev/mapper/control', '--bind=/dev/fuse', '--bind=/dev/loop-control', '--bind=/dev/loop0', '--bind=/dev/loop1', '--bind=/dev/loop2', '--bind=/dev/loop3', '--bind=/dev/loop4', '--bind=/dev/loop5', '--bind=/dev/loop6', '--bind=/dev/loop7', '--bind=/dev/loop8', '--bind=/dev/loop9', '--bind=/dev/loop10', '--bind=/dev/loop11', '--console=pipe', '--setenv=TERM=vt100', '--setenv=SHELL=/bin/bash', '--setenv=HOME=/builddir', '--setenv=HOSTNAME=mock', '--setenv=PATH=/usr/bin:/bin:/usr/sbin:/sbin', '--setenv=PROMPT_COMMAND=printf "\\033]0;<mock-chroot>\\007"', '--setenv=PS1=<mock-chroot> \\s-\\v\\$ ', '--setenv=LANG=C.UTF-8', '--resolv-conf=off', 'bash', '--login', '-c', '/usr/bin/rpmbuild -br --noclean --target s390x --nodeps /builddir/build/SPECS/python-scikit-learn.spec'] with env {'TERM': 'vt100', 'SHELL': '/bin/bash', 'HOME': '/builddir', 'HOSTNAME': 'mock', 'PATH': '/usr/bin:/bin:/usr/sbin:/sbin', 'PROMPT_COMMAND': 'printf "\\033]0;<mock-chroot>\\007"', 'PS1': '<mock-chroot> \\s-\\v\\$ ', 'LANG': 'C.UTF-8', 'SYSTEMD_NSPAWN_TMPFS_TMP': '0', 'SYSTEMD_SECCOMP': '0'} and shell False
Building target platforms: s390x
Building for target s390x
setting SOURCE_DATE_EPOCH=1741824000
Executing(%prep): /bin/sh -e /var/tmp/rpm-tmp.djNGew
+ umask 022
+ cd /builddir/build/BUILD
+ cd /builddir/build/BUILD
+ rm -rf scikit_learn-1.6.1
+ /usr/lib/rpm/rpmuncompress -x /builddir/build/SOURCES/scikit_learn-1.6.1.tar.gz
+ STATUS=0
+ '[' 0 -ne 0 ']'
+ cd scikit_learn-1.6.1
+ rm -rf /builddir/build/BUILD/scikit_learn-1.6.1-SPECPARTS
+ /usr/bin/mkdir -p /builddir/build/BUILD/scikit_learn-1.6.1-SPECPARTS
+ /usr/bin/chmod -Rf a+rX,u+w,g-w,o-w .
+ sed -i -e 's|numpy>=2|numpy|' pyproject.toml
+ sed -i -e 's|Cython>=3.0.10|Cython>=3.0.9|' pyproject.toml
+ sed -i -e 's|CYTHON_MIN_VERSION = "3.0.10"|CYTHON_MIN_VERSION = "3.0.9"|' sklearn/_min_dependencies.py
+ find sklearn/metrics/_dist_metrics.pyx.tp -type f
+ xargs sed -i 's/cdef inline {{INPUT_DTYPE_t}} rdist/cdef {{INPUT_DTYPE_t}} rdist/g'
+ RPM_EC=0
++ jobs -p
+ exit 0
Executing(%generate_buildrequires): /bin/sh -e /var/tmp/rpm-tmp.xfGx4u
+ umask 022
+ cd /builddir/build/BUILD
+ cd scikit_learn-1.6.1
+ echo pyproject-rpm-macros
+ exit 0
Wrote: /builddir/build/SRPMS/python-scikit-learn-1.6.1-3.el10_0.buildreqs.nosrc.rpm
Child return code was: 11
Dynamic buildrequires detected
Going to install missing buildrequires. See root.log for details.
ENTER ['do_with_status'](['bash', '--login', '-c', '/usr/bin/rpmbuild -br --noprep --noclean --target s390x --nodeps /builddir/build/SPECS/python-scikit-learn.spec'], chrootPath='/var/lib/mock/epel10.0-build-58305437-6564208/root'env={'TERM': 'vt100', 'SHELL': '/bin/bash', 'HOME': '/builddir', 'HOSTNAME': 'mock', 'PATH': '/usr/bin:/bin:/usr/sbin:/sbin', 'PROMPT_COMMAND': 'printf "\\033]0;<mock-chroot>\\007"', 'PS1': '<mock-chroot> \\s-\\v\\$ ', 'LANG': 'C.UTF-8'}shell=Falselogger=<mockbuild.trace_decorator.getLog object at 0x3ffa83e4f50>timeout=201600uid=1000gid=425user='mockbuild'unshare_net=TrueraiseExc=FalseprintOutput=Falsenspawn_args=['--capability=cap_ipc_lock', '--bind=/tmp/mock-resolv.7_wo5z1t:/etc/resolv.conf', '--bind=/dev/btrfs-control', '--bind=/dev/mapper/control', '--bind=/dev/fuse', '--bind=/dev/loop-control', '--bind=/dev/loop0', '--bind=/dev/loop1', '--bind=/dev/loop2', '--bind=/dev/loop3', '--bind=/dev/loop4', '--bind=/dev/loop5', '--bind=/dev/loop6', '--bind=/dev/loop7', '--bind=/dev/loop8', '--bind=/dev/loop9', '--bind=/dev/loop10', '--bind=/dev/loop11'])
Using nspawn with args ['--capability=cap_ipc_lock', '--bind=/tmp/mock-resolv.7_wo5z1t:/etc/resolv.conf', '--bind=/dev/btrfs-control', '--bind=/dev/mapper/control', '--bind=/dev/fuse', '--bind=/dev/loop-control', '--bind=/dev/loop0', '--bind=/dev/loop1', '--bind=/dev/loop2', '--bind=/dev/loop3', '--bind=/dev/loop4', '--bind=/dev/loop5', '--bind=/dev/loop6', '--bind=/dev/loop7', '--bind=/dev/loop8', '--bind=/dev/loop9', '--bind=/dev/loop10', '--bind=/dev/loop11']
Executing command: ['/usr/bin/systemd-nspawn', '-q', '-M', '42ded77f9cca41618b9bb593678248ee', '-D', '/var/lib/mock/epel10.0-build-58305437-6564208/root', '-a', '-u', 'mockbuild', '--capability=cap_ipc_lock', '--bind=/tmp/mock-resolv.7_wo5z1t:/etc/resolv.conf', '--bind=/dev/btrfs-control', '--bind=/dev/mapper/control', '--bind=/dev/fuse', '--bind=/dev/loop-control', '--bind=/dev/loop0', '--bind=/dev/loop1', '--bind=/dev/loop2', '--bind=/dev/loop3', '--bind=/dev/loop4', '--bind=/dev/loop5', '--bind=/dev/loop6', '--bind=/dev/loop7', '--bind=/dev/loop8', '--bind=/dev/loop9', '--bind=/dev/loop10', '--bind=/dev/loop11', '--console=pipe', '--setenv=TERM=vt100', '--setenv=SHELL=/bin/bash', '--setenv=HOME=/builddir', '--setenv=HOSTNAME=mock', '--setenv=PATH=/usr/bin:/bin:/usr/sbin:/sbin', '--setenv=PROMPT_COMMAND=printf "\\033]0;<mock-chroot>\\007"', '--setenv=PS1=<mock-chroot> \\s-\\v\\$ ', '--setenv=LANG=C.UTF-8', '--resolv-conf=off', 'bash', '--login', '-c', '/usr/bin/rpmbuild -br --noprep --noclean --target s390x --nodeps /builddir/build/SPECS/python-scikit-learn.spec'] with env {'TERM': 'vt100', 'SHELL': '/bin/bash', 'HOME': '/builddir', 'HOSTNAME': 'mock', 'PATH': '/usr/bin:/bin:/usr/sbin:/sbin', 'PROMPT_COMMAND': 'printf "\\033]0;<mock-chroot>\\007"', 'PS1': '<mock-chroot> \\s-\\v\\$ ', 'LANG': 'C.UTF-8', 'SYSTEMD_NSPAWN_TMPFS_TMP': '0', 'SYSTEMD_SECCOMP': '0'} and shell False
Building target platforms: s390x
Building for target s390x
setting SOURCE_DATE_EPOCH=1741824000
Executing(%generate_buildrequires): /bin/sh -e /var/tmp/rpm-tmp.Ef5etz
+ umask 022
+ cd /builddir/build/BUILD
+ cd scikit_learn-1.6.1
+ echo pyproject-rpm-macros
+ echo python3-devel
+ echo 'python3dist(packaging)'
+ echo 'python3dist(pip) >= 19'
+ '[' -f pyproject.toml ']'
+ echo '(python3dist(tomli) if python3-devel < 3.11)'
+ rm -rfv '*.dist-info/'
+ '[' -f /usr/bin/python3 ']'
+ mkdir -p /builddir/build/BUILD/scikit_learn-1.6.1/.pyproject-builddir
+ echo -n
+ CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=z14 -mtune=z15 -fasynchronous-unwind-tables -fstack-clash-protection '
+ CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=z14 -mtune=z15 -fasynchronous-unwind-tables -fstack-clash-protection '
+ FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=z14 -mtune=z15 -fasynchronous-unwind-tables -fstack-clash-protection -I/usr/lib64/gfortran/modules '
+ FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=z14 -mtune=z15 -fasynchronous-unwind-tables -fstack-clash-protection -I/usr/lib64/gfortran/modules '
+ VALAFLAGS=-g
+ LDFLAGS='-Wl,-z,relro -Wl,--as-needed   -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes '
+ LT_SYS_LIBRARY_PATH=/usr/lib64:
+ CC=gcc
+ CXX=g++
+ TMPDIR=/builddir/build/BUILD/scikit_learn-1.6.1/.pyproject-builddir
+ RPM_TOXENV=py312
+ HOSTNAME=rpmbuild
+ /usr/bin/python3 -Bs /usr/lib/rpm/redhat/pyproject_buildrequires.py --generate-extras --python3_pkgversion 3 --wheeldir /builddir/build/BUILD/scikit_learn-1.6.1/pyproject-wheeldir --output /builddir/build/BUILD/python-scikit-learn-1.6.1-3.el10_0.s390x-pyproject-buildrequires -p
Handling meson-python>=0.16.0 from build-system.requires
Requirement not satisfied: meson-python>=0.16.0
Handling Cython>=3.0.9 from build-system.requires
Requirement not satisfied: Cython>=3.0.9
Handling numpy from build-system.requires
Requirement not satisfied: numpy
Handling scipy>=1.6.0 from build-system.requires
Requirement not satisfied: scipy>=1.6.0
Exiting dependency generation pass: build backend
+ cat /builddir/build/BUILD/python-scikit-learn-1.6.1-3.el10_0.s390x-pyproject-buildrequires
+ rm -rfv '*.dist-info/'
+ RPM_EC=0
++ jobs -p
+ exit 0
Wrote: /builddir/build/SRPMS/python-scikit-learn-1.6.1-3.el10_0.buildreqs.nosrc.rpm
Child return code was: 11
Dynamic buildrequires detected
Going to install missing buildrequires. See root.log for details.
ENTER ['do_with_status'](['bash', '--login', '-c', '/usr/bin/rpmbuild -br --noprep --noclean --target s390x --nodeps /builddir/build/SPECS/python-scikit-learn.spec'], chrootPath='/var/lib/mock/epel10.0-build-58305437-6564208/root'env={'TERM': 'vt100', 'SHELL': '/bin/bash', 'HOME': '/builddir', 'HOSTNAME': 'mock', 'PATH': '/usr/bin:/bin:/usr/sbin:/sbin', 'PROMPT_COMMAND': 'printf "\\033]0;<mock-chroot>\\007"', 'PS1': '<mock-chroot> \\s-\\v\\$ ', 'LANG': 'C.UTF-8'}shell=Falselogger=<mockbuild.trace_decorator.getLog object at 0x3ffa83e4f50>timeout=201600uid=1000gid=425user='mockbuild'unshare_net=TrueraiseExc=FalseprintOutput=Falsenspawn_args=['--capability=cap_ipc_lock', '--bind=/tmp/mock-resolv.7_wo5z1t:/etc/resolv.conf', '--bind=/dev/btrfs-control', '--bind=/dev/mapper/control', '--bind=/dev/fuse', '--bind=/dev/loop-control', '--bind=/dev/loop0', '--bind=/dev/loop1', '--bind=/dev/loop2', '--bind=/dev/loop3', '--bind=/dev/loop4', '--bind=/dev/loop5', '--bind=/dev/loop6', '--bind=/dev/loop7', '--bind=/dev/loop8', '--bind=/dev/loop9', '--bind=/dev/loop10', '--bind=/dev/loop11'])
Using nspawn with args ['--capability=cap_ipc_lock', '--bind=/tmp/mock-resolv.7_wo5z1t:/etc/resolv.conf', '--bind=/dev/btrfs-control', '--bind=/dev/mapper/control', '--bind=/dev/fuse', '--bind=/dev/loop-control', '--bind=/dev/loop0', '--bind=/dev/loop1', '--bind=/dev/loop2', '--bind=/dev/loop3', '--bind=/dev/loop4', '--bind=/dev/loop5', '--bind=/dev/loop6', '--bind=/dev/loop7', '--bind=/dev/loop8', '--bind=/dev/loop9', '--bind=/dev/loop10', '--bind=/dev/loop11']
Executing command: ['/usr/bin/systemd-nspawn', '-q', '-M', 'efe992d7c150417cbfda365f3cba7963', '-D', '/var/lib/mock/epel10.0-build-58305437-6564208/root', '-a', '-u', 'mockbuild', '--capability=cap_ipc_lock', '--bind=/tmp/mock-resolv.7_wo5z1t:/etc/resolv.conf', '--bind=/dev/btrfs-control', '--bind=/dev/mapper/control', '--bind=/dev/fuse', '--bind=/dev/loop-control', '--bind=/dev/loop0', '--bind=/dev/loop1', '--bind=/dev/loop2', '--bind=/dev/loop3', '--bind=/dev/loop4', '--bind=/dev/loop5', '--bind=/dev/loop6', '--bind=/dev/loop7', '--bind=/dev/loop8', '--bind=/dev/loop9', '--bind=/dev/loop10', '--bind=/dev/loop11', '--console=pipe', '--setenv=TERM=vt100', '--setenv=SHELL=/bin/bash', '--setenv=HOME=/builddir', '--setenv=HOSTNAME=mock', '--setenv=PATH=/usr/bin:/bin:/usr/sbin:/sbin', '--setenv=PROMPT_COMMAND=printf "\\033]0;<mock-chroot>\\007"', '--setenv=PS1=<mock-chroot> \\s-\\v\\$ ', '--setenv=LANG=C.UTF-8', '--resolv-conf=off', 'bash', '--login', '-c', '/usr/bin/rpmbuild -br --noprep --noclean --target s390x --nodeps /builddir/build/SPECS/python-scikit-learn.spec'] with env {'TERM': 'vt100', 'SHELL': '/bin/bash', 'HOME': '/builddir', 'HOSTNAME': 'mock', 'PATH': '/usr/bin:/bin:/usr/sbin:/sbin', 'PROMPT_COMMAND': 'printf "\\033]0;<mock-chroot>\\007"', 'PS1': '<mock-chroot> \\s-\\v\\$ ', 'LANG': 'C.UTF-8', 'SYSTEMD_NSPAWN_TMPFS_TMP': '0', 'SYSTEMD_SECCOMP': '0'} and shell False
Building target platforms: s390x
Building for target s390x
setting SOURCE_DATE_EPOCH=1741824000
Executing(%generate_buildrequires): /bin/sh -e /var/tmp/rpm-tmp.PgaFjb
+ umask 022
+ cd /builddir/build/BUILD
+ cd scikit_learn-1.6.1
+ echo pyproject-rpm-macros
+ echo python3-devel
+ echo 'python3dist(packaging)'
+ echo 'python3dist(pip) >= 19'
+ '[' -f pyproject.toml ']'
+ echo '(python3dist(tomli) if python3-devel < 3.11)'
+ rm -rfv '*.dist-info/'
+ '[' -f /usr/bin/python3 ']'
+ mkdir -p /builddir/build/BUILD/scikit_learn-1.6.1/.pyproject-builddir
+ echo -n
+ CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=z14 -mtune=z15 -fasynchronous-unwind-tables -fstack-clash-protection '
+ CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=z14 -mtune=z15 -fasynchronous-unwind-tables -fstack-clash-protection '
+ FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=z14 -mtune=z15 -fasynchronous-unwind-tables -fstack-clash-protection -I/usr/lib64/gfortran/modules '
+ FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=z14 -mtune=z15 -fasynchronous-unwind-tables -fstack-clash-protection -I/usr/lib64/gfortran/modules '
+ VALAFLAGS=-g
+ LDFLAGS='-Wl,-z,relro -Wl,--as-needed   -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes '
+ LT_SYS_LIBRARY_PATH=/usr/lib64:
+ CC=gcc
+ CXX=g++
+ TMPDIR=/builddir/build/BUILD/scikit_learn-1.6.1/.pyproject-builddir
+ RPM_TOXENV=py312
+ HOSTNAME=rpmbuild
+ /usr/bin/python3 -Bs /usr/lib/rpm/redhat/pyproject_buildrequires.py --generate-extras --python3_pkgversion 3 --wheeldir /builddir/build/BUILD/scikit_learn-1.6.1/pyproject-wheeldir --output /builddir/build/BUILD/python-scikit-learn-1.6.1-3.el10_0.s390x-pyproject-buildrequires -p
Handling meson-python>=0.16.0 from build-system.requires
Requirement satisfied: meson-python>=0.16.0
   (installed: meson-python 0.17.1)
Handling Cython>=3.0.9 from build-system.requires
Requirement satisfied: Cython>=3.0.9
   (installed: Cython 3.0.9)
Handling numpy from build-system.requires
Requirement satisfied: numpy
   (installed: numpy 1.26.4)
Handling scipy>=1.6.0 from build-system.requires
Requirement satisfied: scipy>=1.6.0
   (installed: scipy 1.11.3)
Handling numpy>=1.19.5 from pyproject.toml generated metadata: [dependencies] (scikit-learn)
Requirement satisfied: numpy>=1.19.5
   (installed: numpy 1.26.4)
Handling scipy>=1.6.0 from pyproject.toml generated metadata: [dependencies] (scikit-learn)
Requirement satisfied: scipy>=1.6.0
   (installed: scipy 1.11.3)
Handling joblib>=1.2.0 from pyproject.toml generated metadata: [dependencies] (scikit-learn)
Requirement satisfied: joblib>=1.2.0
   (installed: joblib 1.4.2)
Handling threadpoolctl>=3.1.0 from pyproject.toml generated metadata: [dependencies] (scikit-learn)
Requirement satisfied: threadpoolctl>=3.1.0
   (installed: threadpoolctl 3.5.0)
Handling numpy>=1.19.5 from pyproject.toml generated metadata: [optional-dependencies] build (scikit-learn)
Ignoring alien requirement: numpy>=1.19.5
Handling scipy>=1.6.0 from pyproject.toml generated metadata: [optional-dependencies] build (scikit-learn)
Ignoring alien requirement: scipy>=1.6.0
Handling cython>=3.0.10 from pyproject.toml generated metadata: [optional-dependencies] build (scikit-learn)
Ignoring alien requirement: cython>=3.0.10
Handling meson-python>=0.16.0 from pyproject.toml generated metadata: [optional-dependencies] build (scikit-learn)
Ignoring alien requirement: meson-python>=0.16.0
Handling numpy>=1.19.5 from pyproject.toml generated metadata: [optional-dependencies] install (scikit-learn)
Ignoring alien requirement: numpy>=1.19.5
Handling scipy>=1.6.0 from pyproject.toml generated metadata: [optional-dependencies] install (scikit-learn)
Ignoring alien requirement: scipy>=1.6.0
Handling joblib>=1.2.0 from pyproject.toml generated metadata: [optional-dependencies] install (scikit-learn)
Ignoring alien requirement: joblib>=1.2.0
Handling threadpoolctl>=3.1.0 from pyproject.toml generated metadata: [optional-dependencies] install (scikit-learn)
Ignoring alien requirement: threadpoolctl>=3.1.0
Handling matplotlib>=3.3.4 from pyproject.toml generated metadata: [optional-dependencies] benchmark (scikit-learn)
Ignoring alien requirement: matplotlib>=3.3.4
Handling pandas>=1.1.5 from pyproject.toml generated metadata: [optional-dependencies] benchmark (scikit-learn)
Ignoring alien requirement: pandas>=1.1.5
Handling memory_profiler>=0.57.0 from pyproject.toml generated metadata: [optional-dependencies] benchmark (scikit-learn)
Ignoring alien requirement: memory_profiler>=0.57.0
Handling matplotlib>=3.3.4 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: matplotlib>=3.3.4
Handling scikit-image>=0.17.2 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: scikit-image>=0.17.2
Handling pandas>=1.1.5 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: pandas>=1.1.5
Handling seaborn>=0.9.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: seaborn>=0.9.0
Handling memory_profiler>=0.57.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: memory_profiler>=0.57.0
Handling sphinx>=7.3.7 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: sphinx>=7.3.7
Handling sphinx-copybutton>=0.5.2 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: sphinx-copybutton>=0.5.2
Handling sphinx-gallery>=0.17.1 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: sphinx-gallery>=0.17.1
Handling numpydoc>=1.2.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: numpydoc>=1.2.0
Handling Pillow>=7.1.2 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: Pillow>=7.1.2
Handling pooch>=1.6.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: pooch>=1.6.0
Handling sphinx-prompt>=1.4.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: sphinx-prompt>=1.4.0
Handling sphinxext-opengraph>=0.9.1 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: sphinxext-opengraph>=0.9.1
Handling plotly>=5.14.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: plotly>=5.14.0
Handling polars>=0.20.30 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: polars>=0.20.30
Handling sphinx-design>=0.5.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: sphinx-design>=0.5.0
Handling sphinx-design>=0.6.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: sphinx-design>=0.6.0
Handling sphinxcontrib-sass>=0.3.4 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: sphinxcontrib-sass>=0.3.4
Handling pydata-sphinx-theme>=0.15.3 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: pydata-sphinx-theme>=0.15.3
Handling sphinx-remove-toctrees>=1.0.0.post1 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: sphinx-remove-toctrees>=1.0.0.post1
Handling towncrier>=24.8.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: towncrier>=24.8.0
Handling matplotlib>=3.3.4 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn)
Ignoring alien requirement: matplotlib>=3.3.4
Handling scikit-image>=0.17.2 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn)
Ignoring alien requirement: scikit-image>=0.17.2
Handling pandas>=1.1.5 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn)
Ignoring alien requirement: pandas>=1.1.5
Handling seaborn>=0.9.0 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn)
Ignoring alien requirement: seaborn>=0.9.0
Handling pooch>=1.6.0 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn)
Ignoring alien requirement: pooch>=1.6.0
Handling plotly>=5.14.0 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn)
Ignoring alien requirement: plotly>=5.14.0
Handling matplotlib>=3.3.4 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: matplotlib>=3.3.4
Handling scikit-image>=0.17.2 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: scikit-image>=0.17.2
Handling pandas>=1.1.5 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: pandas>=1.1.5
Handling pytest>=7.1.2 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: pytest>=7.1.2
Handling pytest-cov>=2.9.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: pytest-cov>=2.9.0
Handling ruff>=0.5.1 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: ruff>=0.5.1
Handling black>=24.3.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: black>=24.3.0
Handling mypy>=1.9 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: mypy>=1.9
Handling pyamg>=4.0.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: pyamg>=4.0.0
Handling polars>=0.20.30 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: polars>=0.20.30
Handling pyarrow>=12.0.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: pyarrow>=12.0.0
Handling numpydoc>=1.2.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: numpydoc>=1.2.0
Handling pooch>=1.6.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: pooch>=1.6.0
Handling conda-lock==2.5.6 from pyproject.toml generated metadata: [optional-dependencies] maintenance (scikit-learn)
Ignoring alien requirement: conda-lock==2.5.6
+ cat /builddir/build/BUILD/python-scikit-learn-1.6.1-3.el10_0.s390x-pyproject-buildrequires
+ rm -rfv '*.dist-info/'
+ RPM_EC=0
++ jobs -p
+ exit 0
Wrote: /builddir/build/SRPMS/python-scikit-learn-1.6.1-3.el10_0.buildreqs.nosrc.rpm
Child return code was: 11
Dynamic buildrequires detected
Going to install missing buildrequires. See root.log for details.
ENTER ['do_with_status'](['bash', '--login', '-c', '/usr/bin/rpmbuild -ba --noprep --noclean --target s390x /builddir/build/SPECS/python-scikit-learn.spec'], chrootPath='/var/lib/mock/epel10.0-build-58305437-6564208/root'env={'TERM': 'vt100', 'SHELL': '/bin/bash', 'HOME': '/builddir', 'HOSTNAME': 'mock', 'PATH': '/usr/bin:/bin:/usr/sbin:/sbin', 'PROMPT_COMMAND': 'printf "\\033]0;<mock-chroot>\\007"', 'PS1': '<mock-chroot> \\s-\\v\\$ ', 'LANG': 'C.UTF-8'}shell=Falselogger=<mockbuild.trace_decorator.getLog object at 0x3ffa83e4f50>timeout=201600uid=1000gid=425user='mockbuild'unshare_net=TrueprintOutput=Falsenspawn_args=['--capability=cap_ipc_lock', '--bind=/tmp/mock-resolv.7_wo5z1t:/etc/resolv.conf', '--bind=/dev/btrfs-control', '--bind=/dev/mapper/control', '--bind=/dev/fuse', '--bind=/dev/loop-control', '--bind=/dev/loop0', '--bind=/dev/loop1', '--bind=/dev/loop2', '--bind=/dev/loop3', '--bind=/dev/loop4', '--bind=/dev/loop5', '--bind=/dev/loop6', '--bind=/dev/loop7', '--bind=/dev/loop8', '--bind=/dev/loop9', '--bind=/dev/loop10', '--bind=/dev/loop11'])
Using nspawn with args ['--capability=cap_ipc_lock', '--bind=/tmp/mock-resolv.7_wo5z1t:/etc/resolv.conf', '--bind=/dev/btrfs-control', '--bind=/dev/mapper/control', '--bind=/dev/fuse', '--bind=/dev/loop-control', '--bind=/dev/loop0', '--bind=/dev/loop1', '--bind=/dev/loop2', '--bind=/dev/loop3', '--bind=/dev/loop4', '--bind=/dev/loop5', '--bind=/dev/loop6', '--bind=/dev/loop7', '--bind=/dev/loop8', '--bind=/dev/loop9', '--bind=/dev/loop10', '--bind=/dev/loop11']
Executing command: ['/usr/bin/systemd-nspawn', '-q', '-M', 'beb1a7c330bb45e38815cfc16fa70da2', '-D', '/var/lib/mock/epel10.0-build-58305437-6564208/root', '-a', '-u', 'mockbuild', '--capability=cap_ipc_lock', '--bind=/tmp/mock-resolv.7_wo5z1t:/etc/resolv.conf', '--bind=/dev/btrfs-control', '--bind=/dev/mapper/control', '--bind=/dev/fuse', '--bind=/dev/loop-control', '--bind=/dev/loop0', '--bind=/dev/loop1', '--bind=/dev/loop2', '--bind=/dev/loop3', '--bind=/dev/loop4', '--bind=/dev/loop5', '--bind=/dev/loop6', '--bind=/dev/loop7', '--bind=/dev/loop8', '--bind=/dev/loop9', '--bind=/dev/loop10', '--bind=/dev/loop11', '--console=pipe', '--setenv=TERM=vt100', '--setenv=SHELL=/bin/bash', '--setenv=HOME=/builddir', '--setenv=HOSTNAME=mock', '--setenv=PATH=/usr/bin:/bin:/usr/sbin:/sbin', '--setenv=PROMPT_COMMAND=printf "\\033]0;<mock-chroot>\\007"', '--setenv=PS1=<mock-chroot> \\s-\\v\\$ ', '--setenv=LANG=C.UTF-8', '--resolv-conf=off', 'bash', '--login', '-c', '/usr/bin/rpmbuild -ba --noprep --noclean --target s390x /builddir/build/SPECS/python-scikit-learn.spec'] with env {'TERM': 'vt100', 'SHELL': '/bin/bash', 'HOME': '/builddir', 'HOSTNAME': 'mock', 'PATH': '/usr/bin:/bin:/usr/sbin:/sbin', 'PROMPT_COMMAND': 'printf "\\033]0;<mock-chroot>\\007"', 'PS1': '<mock-chroot> \\s-\\v\\$ ', 'LANG': 'C.UTF-8', 'SYSTEMD_NSPAWN_TMPFS_TMP': '0', 'SYSTEMD_SECCOMP': '0'} and shell False
Building target platforms: s390x
Building for target s390x
setting SOURCE_DATE_EPOCH=1741824000
Executing(%generate_buildrequires): /bin/sh -e /var/tmp/rpm-tmp.z0ytl5
+ umask 022
+ cd /builddir/build/BUILD
+ cd scikit_learn-1.6.1
+ echo pyproject-rpm-macros
+ echo python3-devel
+ echo 'python3dist(packaging)'
+ echo 'python3dist(pip) >= 19'
+ '[' -f pyproject.toml ']'
+ echo '(python3dist(tomli) if python3-devel < 3.11)'
+ rm -rfv '*.dist-info/'
+ '[' -f /usr/bin/python3 ']'
+ mkdir -p /builddir/build/BUILD/scikit_learn-1.6.1/.pyproject-builddir
+ echo -n
+ CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=z14 -mtune=z15 -fasynchronous-unwind-tables -fstack-clash-protection '
+ CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=z14 -mtune=z15 -fasynchronous-unwind-tables -fstack-clash-protection '
+ FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=z14 -mtune=z15 -fasynchronous-unwind-tables -fstack-clash-protection -I/usr/lib64/gfortran/modules '
+ FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=z14 -mtune=z15 -fasynchronous-unwind-tables -fstack-clash-protection -I/usr/lib64/gfortran/modules '
+ VALAFLAGS=-g
+ LDFLAGS='-Wl,-z,relro -Wl,--as-needed   -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes '
+ LT_SYS_LIBRARY_PATH=/usr/lib64:
+ CC=gcc
+ CXX=g++
+ TMPDIR=/builddir/build/BUILD/scikit_learn-1.6.1/.pyproject-builddir
+ RPM_TOXENV=py312
+ HOSTNAME=rpmbuild
+ /usr/bin/python3 -Bs /usr/lib/rpm/redhat/pyproject_buildrequires.py --generate-extras --python3_pkgversion 3 --wheeldir /builddir/build/BUILD/scikit_learn-1.6.1/pyproject-wheeldir --output /builddir/build/BUILD/python-scikit-learn-1.6.1-3.el10_0.s390x-pyproject-buildrequires -p
Handling meson-python>=0.16.0 from build-system.requires
Requirement satisfied: meson-python>=0.16.0
   (installed: meson-python 0.17.1)
Handling Cython>=3.0.9 from build-system.requires
Requirement satisfied: Cython>=3.0.9
   (installed: Cython 3.0.9)
Handling numpy from build-system.requires
Requirement satisfied: numpy
   (installed: numpy 1.26.4)
Handling scipy>=1.6.0 from build-system.requires
Requirement satisfied: scipy>=1.6.0
   (installed: scipy 1.11.3)
Handling numpy>=1.19.5 from pyproject.toml generated metadata: [dependencies] (scikit-learn)
Requirement satisfied: numpy>=1.19.5
   (installed: numpy 1.26.4)
Handling scipy>=1.6.0 from pyproject.toml generated metadata: [dependencies] (scikit-learn)
Requirement satisfied: scipy>=1.6.0
   (installed: scipy 1.11.3)
Handling joblib>=1.2.0 from pyproject.toml generated metadata: [dependencies] (scikit-learn)
Requirement satisfied: joblib>=1.2.0
   (installed: joblib 1.4.2)
Handling threadpoolctl>=3.1.0 from pyproject.toml generated metadata: [dependencies] (scikit-learn)
Requirement satisfied: threadpoolctl>=3.1.0
   (installed: threadpoolctl 3.5.0)
Handling numpy>=1.19.5 from pyproject.toml generated metadata: [optional-dependencies] build (scikit-learn)
Ignoring alien requirement: numpy>=1.19.5
Handling scipy>=1.6.0 from pyproject.toml generated metadata: [optional-dependencies] build (scikit-learn)
Ignoring alien requirement: scipy>=1.6.0
Handling cython>=3.0.10 from pyproject.toml generated metadata: [optional-dependencies] build (scikit-learn)
Ignoring alien requirement: cython>=3.0.10
Handling meson-python>=0.16.0 from pyproject.toml generated metadata: [optional-dependencies] build (scikit-learn)
Ignoring alien requirement: meson-python>=0.16.0
Handling numpy>=1.19.5 from pyproject.toml generated metadata: [optional-dependencies] install (scikit-learn)
Ignoring alien requirement: numpy>=1.19.5
Handling scipy>=1.6.0 from pyproject.toml generated metadata: [optional-dependencies] install (scikit-learn)
Ignoring alien requirement: scipy>=1.6.0
Handling joblib>=1.2.0 from pyproject.toml generated metadata: [optional-dependencies] install (scikit-learn)
Ignoring alien requirement: joblib>=1.2.0
Handling threadpoolctl>=3.1.0 from pyproject.toml generated metadata: [optional-dependencies] install (scikit-learn)
Ignoring alien requirement: threadpoolctl>=3.1.0
Handling matplotlib>=3.3.4 from pyproject.toml generated metadata: [optional-dependencies] benchmark (scikit-learn)
Ignoring alien requirement: matplotlib>=3.3.4
Handling pandas>=1.1.5 from pyproject.toml generated metadata: [optional-dependencies] benchmark (scikit-learn)
Ignoring alien requirement: pandas>=1.1.5
Handling memory_profiler>=0.57.0 from pyproject.toml generated metadata: [optional-dependencies] benchmark (scikit-learn)
Ignoring alien requirement: memory_profiler>=0.57.0
Handling matplotlib>=3.3.4 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: matplotlib>=3.3.4
Handling scikit-image>=0.17.2 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: scikit-image>=0.17.2
Handling pandas>=1.1.5 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: pandas>=1.1.5
Handling seaborn>=0.9.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: seaborn>=0.9.0
Handling memory_profiler>=0.57.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: memory_profiler>=0.57.0
Handling sphinx>=7.3.7 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: sphinx>=7.3.7
Handling sphinx-copybutton>=0.5.2 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: sphinx-copybutton>=0.5.2
Handling sphinx-gallery>=0.17.1 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: sphinx-gallery>=0.17.1
Handling numpydoc>=1.2.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: numpydoc>=1.2.0
Handling Pillow>=7.1.2 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: Pillow>=7.1.2
Handling pooch>=1.6.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: pooch>=1.6.0
Handling sphinx-prompt>=1.4.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: sphinx-prompt>=1.4.0
Handling sphinxext-opengraph>=0.9.1 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: sphinxext-opengraph>=0.9.1
Handling plotly>=5.14.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: plotly>=5.14.0
Handling polars>=0.20.30 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: polars>=0.20.30
Handling sphinx-design>=0.5.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: sphinx-design>=0.5.0
Handling sphinx-design>=0.6.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: sphinx-design>=0.6.0
Handling sphinxcontrib-sass>=0.3.4 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: sphinxcontrib-sass>=0.3.4
Handling pydata-sphinx-theme>=0.15.3 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: pydata-sphinx-theme>=0.15.3
Handling sphinx-remove-toctrees>=1.0.0.post1 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: sphinx-remove-toctrees>=1.0.0.post1
Handling towncrier>=24.8.0 from pyproject.toml generated metadata: [optional-dependencies] docs (scikit-learn)
Ignoring alien requirement: towncrier>=24.8.0
Handling matplotlib>=3.3.4 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn)
Ignoring alien requirement: matplotlib>=3.3.4
Handling scikit-image>=0.17.2 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn)
Ignoring alien requirement: scikit-image>=0.17.2
Handling pandas>=1.1.5 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn)
Ignoring alien requirement: pandas>=1.1.5
Handling seaborn>=0.9.0 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn)
Ignoring alien requirement: seaborn>=0.9.0
Handling pooch>=1.6.0 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn)
Ignoring alien requirement: pooch>=1.6.0
Handling plotly>=5.14.0 from pyproject.toml generated metadata: [optional-dependencies] examples (scikit-learn)
Ignoring alien requirement: plotly>=5.14.0
Handling matplotlib>=3.3.4 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: matplotlib>=3.3.4
Handling scikit-image>=0.17.2 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: scikit-image>=0.17.2
Handling pandas>=1.1.5 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: pandas>=1.1.5
Handling pytest>=7.1.2 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: pytest>=7.1.2
Handling pytest-cov>=2.9.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: pytest-cov>=2.9.0
Handling ruff>=0.5.1 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: ruff>=0.5.1
Handling black>=24.3.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: black>=24.3.0
Handling mypy>=1.9 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: mypy>=1.9
Handling pyamg>=4.0.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: pyamg>=4.0.0
Handling polars>=0.20.30 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: polars>=0.20.30
Handling pyarrow>=12.0.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: pyarrow>=12.0.0
Handling numpydoc>=1.2.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: numpydoc>=1.2.0
Handling pooch>=1.6.0 from pyproject.toml generated metadata: [optional-dependencies] tests (scikit-learn)
Ignoring alien requirement: pooch>=1.6.0
Handling conda-lock==2.5.6 from pyproject.toml generated metadata: [optional-dependencies] maintenance (scikit-learn)
Ignoring alien requirement: conda-lock==2.5.6
+ cat /builddir/build/BUILD/python-scikit-learn-1.6.1-3.el10_0.s390x-pyproject-buildrequires
+ rm -rfv '*.dist-info/'
+ RPM_EC=0
++ jobs -p
+ exit 0
Executing(%build): /bin/sh -e /var/tmp/rpm-tmp.OTcaYJ
+ umask 022
+ cd /builddir/build/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=z14 -mtune=z15 -fasynchronous-unwind-tables -fstack-clash-protection '
+ export CFLAGS
+ CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=z14 -mtune=z15 -fasynchronous-unwind-tables -fstack-clash-protection '
+ export CXXFLAGS
+ FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=z14 -mtune=z15 -fasynchronous-unwind-tables -fstack-clash-protection -I/usr/lib64/gfortran/modules '
+ export FFLAGS
+ FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=z14 -mtune=z15 -fasynchronous-unwind-tables -fstack-clash-protection -I/usr/lib64/gfortran/modules '
+ export FCFLAGS
+ VALAFLAGS=-g
+ export VALAFLAGS
+ LDFLAGS='-Wl,-z,relro -Wl,--as-needed   -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes '
+ export LDFLAGS
+ LT_SYS_LIBRARY_PATH=/usr/lib64:
+ export LT_SYS_LIBRARY_PATH
+ CC=gcc
+ export CC
+ CXX=g++
+ export CXX
+ cd scikit_learn-1.6.1
+ mkdir -p /builddir/build/BUILD/scikit_learn-1.6.1/.pyproject-builddir
+ CFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=z14 -mtune=z15 -fasynchronous-unwind-tables -fstack-clash-protection '
+ CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=z14 -mtune=z15 -fasynchronous-unwind-tables -fstack-clash-protection '
+ FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=z14 -mtune=z15 -fasynchronous-unwind-tables -fstack-clash-protection -I/usr/lib64/gfortran/modules '
+ FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=z14 -mtune=z15 -fasynchronous-unwind-tables -fstack-clash-protection -I/usr/lib64/gfortran/modules '
+ VALAFLAGS=-g
+ LDFLAGS='-Wl,-z,relro -Wl,--as-needed   -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes '
+ LT_SYS_LIBRARY_PATH=/usr/lib64:
+ CC=gcc
+ CXX=g++
+ TMPDIR=/builddir/build/BUILD/scikit_learn-1.6.1/.pyproject-builddir
+ /usr/bin/python3 -Bs /usr/lib/rpm/redhat/pyproject_wheel.py /builddir/build/BUILD/scikit_learn-1.6.1/pyproject-wheeldir
Processing /builddir/build/BUILD/scikit_learn-1.6.1
  Preparing metadata (pyproject.toml): started
  Running command Preparing metadata (pyproject.toml)
  + meson setup /builddir/build/BUILD/scikit_learn-1.6.1 /builddir/build/BUILD/scikit_learn-1.6.1/.mesonpy-iirkpjxu -Dbuildtype=release -Db_ndebug=if-release -Db_vscrt=md --native-file=/builddir/build/BUILD/scikit_learn-1.6.1/.mesonpy-iirkpjxu/meson-python-native-file.ini
  The Meson build system
  Version: 1.4.1
  Source dir: /builddir/build/BUILD/scikit_learn-1.6.1
  Build dir: /builddir/build/BUILD/scikit_learn-1.6.1/.mesonpy-iirkpjxu
  Build type: native build
  Project name: scikit-learn
  Project version: 1.6.1
  C compiler for the host machine: gcc (gcc 14.2.1 "gcc (GCC) 14.2.1 20250110 (Red Hat 14.2.1-7)")
  C linker for the host machine: gcc ld.bfd 2.41-51
  C++ compiler for the host machine: g++ (gcc 14.2.1 "g++ (GCC) 14.2.1 20250110 (Red Hat 14.2.1-7)")
  C++ linker for the host machine: g++ ld.bfd 2.41-51
  Cython compiler for the host machine: cython (cython 3.0.9)
  Host machine cpu family: s390x
  Host machine cpu: s390x
  Compiler for C supports arguments -Wno-unused-but-set-variable: YES
  Compiler for C supports arguments -Wno-unused-function: YES
  Compiler for C supports arguments -Wno-conversion: YES
  Compiler for C supports arguments -Wno-misleading-indentation: YES
  Library m found: YES
  Program python found: YES (/usr/bin/python3)
  Run-time dependency OpenMP for c found: YES 4.5
  Found pkg-config: YES (/usr/bin/pkg-config) 2.1.0
  Run-time dependency python found: YES 3.12
  Build targets in project: 111
  scikit-learn 1.6.1
    User defined options
      Native files: /builddir/build/BUILD/scikit_learn-1.6.1/.mesonpy-iirkpjxu/meson-python-native-file.ini
      buildtype   : release
      b_ndebug    : if-release
      b_vscrt     : md
  Found ninja-1.11.1 at /usr/bin/ninja
  + /usr/bin/ninja
  [1/251] Generating sklearn/write_built_with_meson_file with a custom command
  [2/251] Copying file sklearn/__init__.py
  [3/251] Copying file sklearn/_loss/_loss.pxd
  [4/251] Generating sklearn/_loss/_loss_pyx with a custom command
  [5/251] Compiling Cython source /builddir/build/BUILD/scikit_learn-1.6.1/sklearn/__check_build/_check_build.pyx
  [6/251] Compiling Cython source /builddir/build/BUILD/scikit_learn-1.6.1/sklearn/_isotonic.pyx
  [7/251] Compiling C object sklearn/__check_build/_check_build.cpython-312-s390x-linux-gnu.so.p/meson-generated_sklearn___check_build__check_build.pyx.c.o
  [8/251] Linking target sklearn/__check_build/_check_build.cpython-312-s390x-linux-gnu.so
  [9/251] Copying file sklearn/utils/__init__.py
  [10/251] Copying file sklearn/utils/_cython_blas.pxd
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  [12/251] Copying file sklearn/utils/_openmp_helpers.pxd
  [13/251] Copying file sklearn/utils/_random.pxd
  [14/251] Copying file sklearn/utils/_sorting.pxd
  [15/251] Copying file sklearn/utils/_typedefs.pxd
  [16/251] Copying file sklearn/utils/_vector_sentinel.pxd
  [17/251] Compiling Cython source /builddir/build/BUILD/scikit_learn-1.6.1/sklearn/utils/sparsefuncs_fast.pyx
  [18/251] Compiling Cython source sklearn/_loss/_loss.pyx
  [19/251] Compiling C object sklearn/_isotonic.cpython-312-s390x-linux-gnu.so.p/meson-generated_sklearn__isotonic.pyx.c.o
  [20/251] Linking target sklearn/_isotonic.cpython-312-s390x-linux-gnu.so
  [21/251] Compiling Cython source /builddir/build/BUILD/scikit_learn-1.6.1/sklearn/utils/_cython_blas.pyx
  [22/251] Compiling C object sklearn/utils/sparsefuncs_fast.cpython-312-s390x-linux-gnu.so.p/meson-generated_sklearn_utils_sparsefuncs_fast.pyx.c.o
  [23/251] Compiling C object sklearn/utils/_cython_blas.cpython-312-s390x-linux-gnu.so.p/meson-generated_sklearn_utils__cython_blas.pyx.c.o
  [24/251] Linking target sklearn/utils/sparsefuncs_fast.cpython-312-s390x-linux-gnu.so
  [25/251] Linking target sklearn/utils/_cython_blas.cpython-312-s390x-linux-gnu.so
  [26/251] Compiling Cython source /builddir/build/BUILD/scikit_learn-1.6.1/sklearn/utils/arrayfuncs.pyx
  [27/251] Compiling Cython source /builddir/build/BUILD/scikit_learn-1.6.1/sklearn/utils/murmurhash.pyx
  [28/251] Compiling C object sklearn/utils/murmurhash.cpython-312-s390x-linux-gnu.so.p/meson-generated_sklearn_utils_murmurhash.pyx.c.o
  [29/251] Compiling C++ object sklearn/utils/murmurhash.cpython-312-s390x-linux-gnu.so.p/src_MurmurHash3.cpp.o
  [30/251] Compiling C object sklearn/utils/arrayfuncs.cpython-312-s390x-linux-gnu.so.p/meson-generated_sklearn_utils_arrayfuncs.pyx.c.o
  [31/251] Linking target sklearn/utils/murmurhash.cpython-312-s390x-linux-gnu.so
  [32/251] Compiling Cython source /builddir/build/BUILD/scikit_learn-1.6.1/sklearn/utils/_fast_dict.pyx
  [33/251] Linking target sklearn/utils/arrayfuncs.cpython-312-s390x-linux-gnu.so
  [34/251] Compiling Cython source /builddir/build/BUILD/scikit_learn-1.6.1/sklearn/utils/_openmp_helpers.pyx
  [35/251] Compiling C object sklearn/utils/_openmp_helpers.cpython-312-s390x-linux-gnu.so.p/meson-generated_sklearn_utils__openmp_helpers.pyx.c.o
  [36/251] Compiling C++ object sklearn/utils/_fast_dict.cpython-312-s390x-linux-gnu.so.p/meson-generated_sklearn_utils__fast_dict.pyx.cpp.o
  [37/251] Linking target sklearn/utils/_openmp_helpers.cpython-312-s390x-linux-gnu.so
  [38/251] Compiling Cython source /builddir/build/BUILD/scikit_learn-1.6.1/sklearn/utils/_random.pyx
  [39/251] Linking target sklearn/utils/_fast_dict.cpython-312-s390x-linux-gnu.so
  [40/251] Compiling Cython source /builddir/build/BUILD/scikit_learn-1.6.1/sklearn/utils/_typedefs.pyx
  [41/251] Compiling C object sklearn/utils/_typedefs.cpython-312-s390x-linux-gnu.so.p/meson-generated_sklearn_utils__typedefs.pyx.c.o
  [42/251] Compiling C object sklearn/utils/_random.cpython-312-s390x-linux-gnu.so.p/meson-generated_sklearn_utils__random.pyx.c.o
  [43/251] Linking target sklearn/utils/_typedefs.cpython-312-s390x-linux-gnu.so
  [44/251] Compiling Cython source /builddir/build/BUILD/scikit_learn-1.6.1/sklearn/utils/_heap.pyx
  [45/251] Compiling C object sklearn/utils/_heap.cpython-312-s390x-linux-gnu.so.p/meson-generated_sklearn_utils__heap.pyx.c.o
  [46/251] Linking target sklearn/utils/_heap.cpython-312-s390x-linux-gnu.so
  [47/251] Linking target sklearn/utils/_random.cpython-312-s390x-linux-gnu.so
  [48/251] Compiling Cython source /builddir/build/BUILD/scikit_learn-1.6.1/sklearn/utils/_sorting.pyx
  [49/251] Compiling C object sklearn/utils/_sorting.cpython-312-s390x-linux-gnu.so.p/meson-generated_sklearn_utils__sorting.pyx.c.o
  [50/251] Linking target sklearn/utils/_sorting.cpython-312-s390x-linux-gnu.so
  [51/251] Compiling Cython source /builddir/build/BUILD/scikit_learn-1.6.1/sklearn/utils/_vector_sentinel.pyx
  [52/251] Compiling Cython source /builddir/build/BUILD/scikit_learn-1.6.1/sklearn/utils/_isfinite.pyx
  [53/251] Compiling C object sklearn/_loss/_loss.cpython-312-s390x-linux-gnu.so.p/meson-generated_sklearn__loss__loss.pyx.c.o
  [54/251] Compiling C++ object sklearn/utils/_vector_sentinel.cpython-312-s390x-linux-gnu.so.p/meson-generated_sklearn_utils__vector_sentinel.pyx.cpp.o
  [55/251] Linking target sklearn/utils/_vector_sentinel.cpython-312-s390x-linux-gnu.so
  [56/251] Generating sklearn/utils/_seq_dataset_pxd with a custom command
  [57/251] Generating sklearn/utils/_seq_dataset_pyx with a custom command
  [58/251] Compiling Cython source sklearn/utils/_seq_dataset.pyx
  [59/251] Compiling C object sklearn/utils/_isfinite.cpython-312-s390x-linux-gnu.so.p/meson-generated_sklearn_utils__isfinite.pyx.c.o
  [60/251] Linking target sklearn/utils/_isfinite.cpython-312-s390x-linux-gnu.so
  [61/251] Generating sklearn/utils/_weight_vector_pxd with a custom command
  [62/251] Generating sklearn/utils/_weight_vector_pyx with a custom command
  [63/251] Compiling Cython source sklearn/utils/_weight_vector.pyx
  [64/251] Compiling C object sklearn/utils/_seq_dataset.cpython-312-s390x-linux-gnu.so.p/meson-generated_sklearn_utils__seq_dataset.pyx.c.o
  [65/251] Compiling C object sklearn/utils/_weight_vector.cpython-312-s390x-linux-gnu.so.p/meson-generated_sklearn_utils__weight_vector.pyx.c.o
  [66/251] Linking target sklearn/utils/_seq_dataset.cpython-312-s390x-linux-gnu.so
  [67/251] Copying file sklearn/metrics/__init__.py
  [68/251] Generating sklearn/metrics/_dist_metrics_pxd with a custom command
  [69/251] Generating sklearn/metrics/_dist_metrics_pyx with a custom command
  [70/251] Linking target sklearn/utils/_weight_vector.cpython-312-s390x-linux-gnu.so
  [71/251] Compiling Cython source sklearn/metrics/_dist_metrics.pyx
  warning: sklearn/metrics/_dist_metrics.pyx:855:44: Assigning to 'float64_t *' from 'const float64_t *' discards const qualifier
  warning: sklearn/metrics/_dist_metrics.pyx:918:40: Assigning to 'float64_t *' from 'const float64_t *' discards const qualifier
  warning: sklearn/metrics/_dist_metrics.pyx:3435:44: Assigning to 'float32_t *' from 'const float32_t *' discards const qualifier
  warning: sklearn/metrics/_dist_metrics.pyx:3498:40: Assigning to 'float32_t *' from 'const float32_t *' discards const qualifier
  [72/251] Compiling Cython source /builddir/build/BUILD/scikit_learn-1.6.1/sklearn/metrics/_pairwise_fast.pyx
  [73/251] Compiling C object sklearn/metrics/_pairwise_fast.cpython-312-s390x-linux-gnu.so.p/meson-generated_sklearn_metrics__pairwise_fast.pyx.c.o
  [74/251] Linking target sklearn/_loss/_loss.cpython-312-s390x-linux-gnu.so
  [75/251] Copying file sklearn/metrics/_pairwise_distances_reduction/__init__.py
  [76/251] Copying file sklearn/metrics/_pairwise_distances_reduction/_classmode.pxd
  [77/251] Generating sklearn/metrics/_pairwise_distances_reduction/_datasets_pair_pxd with a custom command
  [78/251] Generating sklearn/metrics/_pairwise_distances_reduction/_datasets_pair_pyx with a custom command
  [79/251] Compiling Cython source sklearn/metrics/_pairwise_distances_reduction/_datasets_pair.pyx
  [80/251] Linking target sklearn/metrics/_pairwise_fast.cpython-312-s390x-linux-gnu.so
  [81/251] Generating sklearn/metrics/_pairwise_distances_reduction/_base_pxd with a custom command
  [82/251] Generating sklearn/metrics/_pairwise_distances_reduction/_base_pyx with a custom command
  [83/251] Compiling Cython source sklearn/metrics/_pairwise_distances_reduction/_base.pyx
  [84/251] Compiling C object sklearn/metrics/_dist_metrics.cpython-312-s390x-linux-gnu.so.p/meson-generated_sklearn_metrics__dist_metrics.pyx.c.o
  sklearn/metrics/_dist_metrics.cpython-312-s390x-linux-gnu.so.p/sklearn/metrics/_dist_metrics.pyx.c: In function ‘__pyx_pf_7sklearn_7metrics_13_dist_metrics_16DistanceMetric64_22_pairwise_sparse_dense’:
  sklearn/metrics/_dist_metrics.cpython-312-s390x-linux-gnu.so.p/sklearn/metrics/_dist_metrics.pyx.c:29121:29: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  29121 |             __pyx_v_x2_data = ((&(*((__pyx_t_7sklearn_5utils_9_typedefs_float64_t const  *) ( /* dim=1 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_float64_t const  *) ( /* dim=0 */ (__pyx_v_Y_data.data + __pyx_t_18 * __pyx_v_Y_data.strides[0]) )) + __pyx_t_19)) )))) + (__pyx_v_i2 * __pyx_v_n_features));
        |                             ^
  sklearn/metrics/_dist_metrics.cpython-312-s390x-linux-gnu.so.p/sklearn/metrics/_dist_metrics.pyx.c: In function ‘__pyx_pf_7sklearn_7metrics_13_dist_metrics_16DistanceMetric64_24_pairwise_dense_sparse’:
  sklearn/metrics/_dist_metrics.cpython-312-s390x-linux-gnu.so.p/sklearn/metrics/_dist_metrics.pyx.c:29906:27: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  29906 |           __pyx_v_x1_data = ((&(*((__pyx_t_7sklearn_5utils_9_typedefs_float64_t const  *) ( /* dim=1 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_float64_t const  *) ( /* dim=0 */ (__pyx_v_X_data.data + __pyx_t_15 * __pyx_v_X_data.strides[0]) )) + __pyx_t_16)) )))) + (__pyx_v_i1 * __pyx_v_n_features));
        |                           ^
  sklearn/metrics/_dist_metrics.cpython-312-s390x-linux-gnu.so.p/sklearn/metrics/_dist_metrics.pyx.c: In function ‘__pyx_pf_7sklearn_7metrics_13_dist_metrics_16DistanceMetric32_22_pairwise_sparse_dense’:
  sklearn/metrics/_dist_metrics.cpython-312-s390x-linux-gnu.so.p/sklearn/metrics/_dist_metrics.pyx.c:48745:29: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  48745 |             __pyx_v_x2_data = ((&(*((__pyx_t_7sklearn_5utils_9_typedefs_float32_t const  *) ( /* dim=1 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_float32_t const  *) ( /* dim=0 */ (__pyx_v_Y_data.data + __pyx_t_18 * __pyx_v_Y_data.strides[0]) )) + __pyx_t_19)) )))) + (__pyx_v_i2 * __pyx_v_n_features));
        |                             ^
  sklearn/metrics/_dist_metrics.cpython-312-s390x-linux-gnu.so.p/sklearn/metrics/_dist_metrics.pyx.c: In function ‘__pyx_pf_7sklearn_7metrics_13_dist_metrics_16DistanceMetric32_24_pairwise_dense_sparse’:
  sklearn/metrics/_dist_metrics.cpython-312-s390x-linux-gnu.so.p/sklearn/metrics/_dist_metrics.pyx.c:49530:27: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  49530 |           __pyx_v_x1_data = ((&(*((__pyx_t_7sklearn_5utils_9_typedefs_float32_t const  *) ( /* dim=1 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_float32_t const  *) ( /* dim=0 */ (__pyx_v_X_data.data + __pyx_t_15 * __pyx_v_X_data.strides[0]) )) + __pyx_t_16)) )))) + (__pyx_v_i1 * __pyx_v_n_features));
        |                           ^
  [85/251] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_base.cpython-312-s390x-linux-gnu.so.p/meson-generated_sklearn_metrics__pairwise_distances_reduction__base.pyx.cpp.o
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  [111/251] Compiling C object sklearn/metrics/cluster/_expected_mutual_info_fast.cpython-312-s390x-linux-gnu.so.p/meson-generated_sklearn_metrics_cluster__expected_mutual_info_fast.pyx.c.o
  [112/251] Compiling C++ object sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors_classmode.cpython-312-s390x-linux-gnu.so.p/meson-generated_sklearn_metrics__pairwise_distances_reduction__radius_neighbors_classmode.pyx.cpp.o
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  [128/251] Compiling Cython source /builddir/build/BUILD/scikit_learn-1.6.1/sklearn/cluster/_k_means_minibatch.pyx
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  [130/251] Compiling Cython source /builddir/build/BUILD/scikit_learn-1.6.1/sklearn/cluster/_hdbscan/_linkage.pyx
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  [132/251] Compiling C object sklearn/cluster/_k_means_minibatch.cpython-312-s390x-linux-gnu.so.p/meson-generated_sklearn_cluster__k_means_minibatch.pyx.c.o
  [133/251] Compiling C object sklearn/cluster/_hdbscan/_linkage.cpython-312-s390x-linux-gnu.so.p/meson-generated_sklearn_cluster__hdbscan__linkage.pyx.c.o
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  [135/251] Compiling Cython source /builddir/build/BUILD/scikit_learn-1.6.1/sklearn/cluster/_hdbscan/_reachability.pyx
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  [143/251] Compiling Cython source /builddir/build/BUILD/scikit_learn-1.6.1/sklearn/decomposition/_online_lda_fast.pyx
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  [146/251] Compiling C object sklearn/datasets/_svmlight_format_fast.cpython-312-s390x-linux-gnu.so.p/meson-generated_sklearn_datasets__svmlight_format_fast.pyx.c.o
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  [149/251] Linking target sklearn/decomposition/_cdnmf_fast.cpython-312-s390x-linux-gnu.so
  [150/251] Linking target sklearn/decomposition/_online_lda_fast.cpython-312-s390x-linux-gnu.so
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  [152/251] Compiling Cython source /builddir/build/BUILD/scikit_learn-1.6.1/sklearn/ensemble/_gradient_boosting.pyx
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  [163/251] Compiling Cython source /builddir/build/BUILD/scikit_learn-1.6.1/sklearn/ensemble/_hist_gradient_boosting/_predictor.pyx
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  [172/251] Compiling Cython source /builddir/build/BUILD/scikit_learn-1.6.1/sklearn/feature_extraction/_hashing_fast.pyx
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  warning: sklearn/neighbors/_binary_tree.pxi:1092:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
  warning: sklearn/neighbors/_binary_tree.pxi:1958:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
  warning: sklearn/neighbors/_binary_tree.pxi:2053:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
  warning: sklearn/neighbors/_binary_tree.pxi:2222:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
  warning: sklearn/neighbors/_binary_tree.pxi:2345:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
  warning: sklearn/neighbors/_binary_tree.pxi:2402:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
  warning: sklearn/neighbors/_binary_tree.pxi:2403:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
  warning: sklearn/neighbors/_binary_tree.pxi:2728:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
  warning: sklearn/neighbors/_binary_tree.pxi:3594:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
  warning: sklearn/neighbors/_binary_tree.pxi:3689:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
  warning: sklearn/neighbors/_binary_tree.pxi:3858:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
  warning: sklearn/neighbors/_binary_tree.pxi:3981:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
  warning: sklearn/neighbors/_binary_tree.pxi:4038:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
  warning: sklearn/neighbors/_binary_tree.pxi:4039:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
  warning: sklearn/neighbors/_ball_tree.pyx:105:9: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
  warning: sklearn/neighbors/_ball_tree.pyx:107:9: Assigning to 'float64_t *' from 'const float64_t *' discards const qualifier
  warning: sklearn/neighbors/_ball_tree.pyx:308:9: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
  warning: sklearn/neighbors/_ball_tree.pyx:310:9: Assigning to 'float32_t *' from 'const float32_t *' discards const qualifier
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  warning: sklearn/neighbors/_binary_tree.pxi:1092:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
  warning: sklearn/neighbors/_binary_tree.pxi:1958:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
  warning: sklearn/neighbors/_binary_tree.pxi:2053:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
  warning: sklearn/neighbors/_binary_tree.pxi:2222:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
  warning: sklearn/neighbors/_binary_tree.pxi:2345:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
  warning: sklearn/neighbors/_binary_tree.pxi:2402:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
  warning: sklearn/neighbors/_binary_tree.pxi:2403:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
  warning: sklearn/neighbors/_binary_tree.pxi:2728:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
  warning: sklearn/neighbors/_binary_tree.pxi:3594:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
  warning: sklearn/neighbors/_binary_tree.pxi:3689:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
  warning: sklearn/neighbors/_binary_tree.pxi:3858:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
  warning: sklearn/neighbors/_binary_tree.pxi:3981:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
  warning: sklearn/neighbors/_binary_tree.pxi:4038:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
  warning: sklearn/neighbors/_binary_tree.pxi:4039:13: Assigning to 'intp_t *' from 'const intp_t *' discards const qualifier
  warning: sklearn/neighbors/_kd_tree.pyx:74:9: Assigning to 'float64_t *' from 'const float64_t *' discards const qualifier
  warning: sklearn/neighbors/_kd_tree.pyx:75:9: Assigning to 'float64_t *' from 'const float64_t *' discards const qualifier
  warning: sklearn/neighbors/_kd_tree.pyx:342:9: Assigning to 'float32_t *' from 'const float32_t *' discards const qualifier
  warning: sklearn/neighbors/_kd_tree.pyx:343:9: Assigning to 'float32_t *' from 'const float32_t *' discards const qualifier
  [203/251] Linking target sklearn/manifold/_barnes_hut_tsne.cpython-312-s390x-linux-gnu.so
  [204/251] Compiling Cython source /builddir/build/BUILD/scikit_learn-1.6.1/sklearn/neighbors/_partition_nodes.pyx
  [205/251] Compiling C++ object sklearn/neighbors/_partition_nodes.cpython-312-s390x-linux-gnu.so.p/meson-generated_sklearn_neighbors__partition_nodes.pyx.cpp.o
  [206/251] Linking target sklearn/neighbors/_partition_nodes.cpython-312-s390x-linux-gnu.so
  [207/251] Compiling Cython source /builddir/build/BUILD/scikit_learn-1.6.1/sklearn/neighbors/_quad_tree.pyx
  [208/251] Compiling C object sklearn/neighbors/_quad_tree.cpython-312-s390x-linux-gnu.so.p/meson-generated_sklearn_neighbors__quad_tree.pyx.c.o
  [209/251] Linking target sklearn/neighbors/_quad_tree.cpython-312-s390x-linux-gnu.so
  [210/251] Compiling Cython source /builddir/build/BUILD/scikit_learn-1.6.1/sklearn/preprocessing/_csr_polynomial_expansion.pyx
  [211/251] Compiling C object sklearn/neighbors/_ball_tree.cpython-312-s390x-linux-gnu.so.p/meson-generated_sklearn_neighbors__ball_tree.pyx.c.o
  sklearn/neighbors/_ball_tree.cpython-312-s390x-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree64__recursive_build’:
  sklearn/neighbors/_ball_tree.cpython-312-s390x-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:32282:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  32282 |   __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-312-s390x-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree64__query_radius_single’:
  sklearn/neighbors/_ball_tree.cpython-312-s390x-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:39712:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  39712 |   __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-312-s390x-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree64__kde_single_breadthfirst’:
  sklearn/neighbors/_ball_tree.cpython-312-s390x-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:40268:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  40268 |   __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-312-s390x-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree64__kde_single_depthfirst’:
  sklearn/neighbors/_ball_tree.cpython-312-s390x-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:41175:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  41175 |   __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-312-s390x-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree64__two_point_single’:
  sklearn/neighbors/_ball_tree.cpython-312-s390x-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:41788:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  41788 |   __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-312-s390x-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree64__two_point_dual’:
  sklearn/neighbors/_ball_tree.cpython-312-s390x-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:42193:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  42193 |   __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-312-s390x-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:42203:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  42203 |   __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-312-s390x-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree32__recursive_build’:
  sklearn/neighbors/_ball_tree.cpython-312-s390x-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:46117:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  46117 |   __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-312-s390x-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree32__query_radius_single’:
  sklearn/neighbors/_ball_tree.cpython-312-s390x-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:53556:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  53556 |   __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-312-s390x-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree32__kde_single_breadthfirst’:
  sklearn/neighbors/_ball_tree.cpython-312-s390x-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:54112:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  54112 |   __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-312-s390x-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree32__kde_single_depthfirst’:
  sklearn/neighbors/_ball_tree.cpython-312-s390x-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:55019:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  55019 |   __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-312-s390x-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree32__two_point_single’:
  sklearn/neighbors/_ball_tree.cpython-312-s390x-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:55632:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  55632 |   __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-312-s390x-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree32__two_point_dual’:
  sklearn/neighbors/_ball_tree.cpython-312-s390x-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:56037:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  56037 |   __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-312-s390x-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:56047:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  56047 |   __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-312-s390x-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_init_node64’:
  sklearn/neighbors/_ball_tree.cpython-312-s390x-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:57925:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  57925 |   __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_tree->idx_array.data) + __pyx_t_1)) ))));
        |                     ^
  sklearn/neighbors/_ball_tree.cpython-312-s390x-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:57948:20: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  57948 |   __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-312-s390x-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_init_node32’:
  sklearn/neighbors/_ball_tree.cpython-312-s390x-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:59312:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  59312 |   __pyx_v_idx_array = (&(*((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) ( /* dim=0 */ ((char *) (((__pyx_t_7sklearn_5utils_9_typedefs_intp_t const  *) __pyx_v_tree->idx_array.data) + __pyx_t_1)) ))));
        |                     ^
  sklearn/neighbors/_ball_tree.cpython-312-s390x-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:59335:20: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  59335 |   __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-312-s390x-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:55344:19:
  sklearn/neighbors/_ball_tree.cpython-312-s390x-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:57674:52: warning: ‘__pyx_v_sample_weight’ may be used uninitialized [-Wmaybe-uninitialized]
  57674 |     __pyx_v_N = (__pyx_v_N + (__pyx_v_sample_weight[(__pyx_v_idx_array[__pyx_v_i])]));
        |                                                    ^
  sklearn/neighbors/_ball_tree.cpython-312-s390x-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree32__kde_single_depthfirst’:
  sklearn/neighbors/_ball_tree.cpython-312-s390x-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:54920:55: note: ‘__pyx_v_sample_weight’ was declared here
  54920 |   __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-312-s390x-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:41500:19:
  sklearn/neighbors/_ball_tree.cpython-312-s390x-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:57733:52: warning: ‘__pyx_v_sample_weight’ may be used uninitialized [-Wmaybe-uninitialized]
  57733 |     __pyx_v_N = (__pyx_v_N + (__pyx_v_sample_weight[(__pyx_v_idx_array[__pyx_v_i])]));
        |                                                    ^
  sklearn/neighbors/_ball_tree.cpython-312-s390x-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_10_ball_tree_12BinaryTree64__kde_single_depthfirst’:
  sklearn/neighbors/_ball_tree.cpython-312-s390x-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c:41076:55: note: ‘__pyx_v_sample_weight’ was declared here
  41076 |   __pyx_t_7sklearn_5utils_9_typedefs_float64_t const *__pyx_v_sample_weight;
        |                                                       ^~~~~~~~~~~~~~~~~~~~~
  [212/251] Compiling C object sklearn/neighbors/_kd_tree.cpython-312-s390x-linux-gnu.so.p/meson-generated_sklearn_neighbors__kd_tree.pyx.c.o
  sklearn/neighbors/_kd_tree.cpython-312-s390x-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree64__recursive_build’:
  sklearn/neighbors/_kd_tree.cpython-312-s390x-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:32150:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  32150 |   __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-312-s390x-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree64__query_radius_single’:
  sklearn/neighbors/_kd_tree.cpython-312-s390x-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:39580:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  39580 |   __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-312-s390x-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree64__kde_single_breadthfirst’:
  sklearn/neighbors/_kd_tree.cpython-312-s390x-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:40136:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  40136 |   __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-312-s390x-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree64__kde_single_depthfirst’:
  sklearn/neighbors/_kd_tree.cpython-312-s390x-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:41043:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  41043 |   __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-312-s390x-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree64__two_point_single’:
  sklearn/neighbors/_kd_tree.cpython-312-s390x-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:41656:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  41656 |   __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-312-s390x-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree64__two_point_dual’:
  sklearn/neighbors/_kd_tree.cpython-312-s390x-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:42061:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  42061 |   __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-312-s390x-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:42071:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  42071 |   __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-312-s390x-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree32__recursive_build’:
  sklearn/neighbors/_kd_tree.cpython-312-s390x-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:45985:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  45985 |   __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-312-s390x-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree32__query_radius_single’:
  sklearn/neighbors/_kd_tree.cpython-312-s390x-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:53424:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  53424 |   __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-312-s390x-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree32__kde_single_breadthfirst’:
  sklearn/neighbors/_kd_tree.cpython-312-s390x-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:53980:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  53980 |   __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-312-s390x-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree32__kde_single_depthfirst’:
  sklearn/neighbors/_kd_tree.cpython-312-s390x-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:54887:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  54887 |   __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-312-s390x-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree32__two_point_single’:
  sklearn/neighbors/_kd_tree.cpython-312-s390x-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:55500:21: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  55500 |   __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-312-s390x-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree32__two_point_dual’:
  sklearn/neighbors/_kd_tree.cpython-312-s390x-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:55905:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  55905 |   __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-312-s390x-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:55915:22: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  55915 |   __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-312-s390x-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_init_node64’:
  sklearn/neighbors/_kd_tree.cpython-312-s390x-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:57790:24: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  57790 |   __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-312-s390x-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:57802:24: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  57802 |   __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-312-s390x-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_init_node32’:
  sklearn/neighbors/_kd_tree.cpython-312-s390x-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:59599:24: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  59599 |   __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-312-s390x-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:59611:24: warning: assignment discards ‘const’ qualifier from pointer target type [-Wdiscarded-qualifiers]
  59611 |   __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-312-s390x-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:55212:19:
  sklearn/neighbors/_kd_tree.cpython-312-s390x-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:57542:52: warning: ‘__pyx_v_sample_weight’ may be used uninitialized [-Wmaybe-uninitialized]
  57542 |     __pyx_v_N = (__pyx_v_N + (__pyx_v_sample_weight[(__pyx_v_idx_array[__pyx_v_i])]));
        |                                                    ^
  sklearn/neighbors/_kd_tree.cpython-312-s390x-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree32__kde_single_depthfirst’:
  sklearn/neighbors/_kd_tree.cpython-312-s390x-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:54788:55: note: ‘__pyx_v_sample_weight’ was declared here
  54788 |   __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-312-s390x-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:41368:19:
  sklearn/neighbors/_kd_tree.cpython-312-s390x-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:57601:52: warning: ‘__pyx_v_sample_weight’ may be used uninitialized [-Wmaybe-uninitialized]
  57601 |     __pyx_v_N = (__pyx_v_N + (__pyx_v_sample_weight[(__pyx_v_idx_array[__pyx_v_i])]));
        |                                                    ^
  sklearn/neighbors/_kd_tree.cpython-312-s390x-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: In function ‘__pyx_f_7sklearn_9neighbors_8_kd_tree_12BinaryTree64__kde_single_depthfirst’:
  sklearn/neighbors/_kd_tree.cpython-312-s390x-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c:40944:55: note: ‘__pyx_v_sample_weight’ was declared here
  40944 |   __pyx_t_7sklearn_5utils_9_typedefs_float64_t const *__pyx_v_sample_weight;
        |                                                       ^~~~~~~~~~~~~~~~~~~~~
  [213/251] Compiling C object sklearn/preprocessing/_csr_polynomial_expansion.cpython-312-s390x-linux-gnu.so.p/meson-generated_sklearn_preprocessing__csr_polynomial_expansion.pyx.c.o
  [214/251] Linking target sklearn/neighbors/_kd_tree.cpython-312-s390x-linux-gnu.so
  [215/251] Linking target sklearn/neighbors/_ball_tree.cpython-312-s390x-linux-gnu.so
  [216/251] Compiling Cython source /builddir/build/BUILD/scikit_learn-1.6.1/sklearn/svm/_newrand.pyx
  [217/251] Compiling Cython source /builddir/build/BUILD/scikit_learn-1.6.1/sklearn/preprocessing/_target_encoder_fast.pyx
  [218/251] Compiling C++ object sklearn/svm/_newrand.cpython-312-s390x-linux-gnu.so.p/meson-generated_sklearn_svm__newrand.pyx.cpp.o
  [219/251] Linking target sklearn/svm/_newrand.cpython-312-s390x-linux-gnu.so
  [220/251] Compiling C++ object sklearn/svm/liblibsvm-skl.a.p/src_libsvm_libsvm_template.cpp.o
  [221/251] Linking static target sklearn/svm/liblibsvm-skl.a
  [222/251] Linking target sklearn/preprocessing/_csr_polynomial_expansion.cpython-312-s390x-linux-gnu.so
  [223/251] Compiling Cython source /builddir/build/BUILD/scikit_learn-1.6.1/sklearn/svm/_libsvm.pyx
  [224/251] Compiling Cython source /builddir/build/BUILD/scikit_learn-1.6.1/sklearn/svm/_libsvm_sparse.pyx
  [225/251] Compiling C object sklearn/svm/_libsvm_sparse.cpython-312-s390x-linux-gnu.so.p/meson-generated_sklearn_svm__libsvm_sparse.pyx.c.o
  [226/251] Compiling C object sklearn/svm/_libsvm.cpython-312-s390x-linux-gnu.so.p/meson-generated_sklearn_svm__libsvm.pyx.c.o
  [227/251] Compiling C++ object sklearn/preprocessing/_target_encoder_fast.cpython-312-s390x-linux-gnu.so.p/meson-generated_sklearn_preprocessing__target_encoder_fast.pyx.cpp.o
  [228/251] Linking target sklearn/svm/_libsvm_sparse.cpython-312-s390x-linux-gnu.so
  [229/251] Linking target sklearn/svm/_libsvm.cpython-312-s390x-linux-gnu.so
  [230/251] Compiling C++ object sklearn/svm/libliblinear-skl.a.p/src_liblinear_tron.cpp.o
  [231/251] Compiling C++ object sklearn/svm/libliblinear-skl.a.p/src_liblinear_linear.cpp.o
  [232/251] Linking static target sklearn/svm/libliblinear-skl.a
  [233/251] Compiling Cython source /builddir/build/BUILD/scikit_learn-1.6.1/sklearn/svm/_liblinear.pyx
  [234/251] Linking target sklearn/preprocessing/_target_encoder_fast.cpython-312-s390x-linux-gnu.so
  [235/251] Compiling Cython source /builddir/build/BUILD/scikit_learn-1.6.1/sklearn/tree/_splitter.pyx
  [236/251] Compiling Cython source /builddir/build/BUILD/scikit_learn-1.6.1/sklearn/tree/_tree.pyx
  [237/251] Compiling C object sklearn/svm/_liblinear.cpython-312-s390x-linux-gnu.so.p/meson-generated_sklearn_svm__liblinear.pyx.c.o
  [238/251] Compiling C object sklearn/tree/_splitter.cpython-312-s390x-linux-gnu.so.p/meson-generated_sklearn_tree__splitter.pyx.c.o
  [239/251] Linking target sklearn/svm/_liblinear.cpython-312-s390x-linux-gnu.so
  [240/251] Compiling Cython source /builddir/build/BUILD/scikit_learn-1.6.1/sklearn/tree/_partitioner.pyx
  [241/251] Linking target sklearn/tree/_splitter.cpython-312-s390x-linux-gnu.so
  [242/251] Compiling Cython source /builddir/build/BUILD/scikit_learn-1.6.1/sklearn/tree/_criterion.pyx
  performance hint: /builddir/build/BUILD/scikit_learn-1.6.1/sklearn/tree/_criterion.pyx:1696:41: Exception check after calling '__pyx_fuse_1xlogy' will always require the GIL to be acquired. Declare '__pyx_fuse_1xlogy' as 'noexcept' if you control the definition and you're sure you don't want the function to raise exceptions.
  [243/251] Compiling C++ object sklearn/tree/_tree.cpython-312-s390x-linux-gnu.so.p/meson-generated_sklearn_tree__tree.pyx.cpp.o
  In file included from /usr/include/c++/14/s390x-redhat-linux/bits/c++allocator.h:33,
                   from /usr/include/c++/14/bits/allocator.h:46,
                   from /usr/include/c++/14/string:43,
                   from /usr/include/c++/14/bits/locale_classes.h:40,
                   from /usr/include/c++/14/bits/ios_base.h:41,
                   from /usr/include/c++/14/ios:44,
                   from sklearn/tree/_tree.cpython-312-s390x-linux-gnu.so.p/sklearn/tree/_tree.pyx.cpp:1236:
  In member function ‘std::__new_allocator<long>::construct<long, long const&>(long*, long const&)void’,
      inlined from ‘std::allocator_traits<std::allocator<long> >::construct<long, long const&>(std::allocator<long>&, long*, long const&)void’ at /usr/include/c++/14/bits/alloc_traits.h:575:17,
      inlined from ‘std::deque<long, std::allocator<long> >::_M_push_back_aux<long const&>(long const&)void’ at /usr/include/c++/14/bits/deque.tcc:501:30,
      inlined from ‘std::deque<long, std::allocator<long> >::push_back(long const&)’ at /usr/include/c++/14/bits/stl_deque.h:1548:20,
      inlined from ‘std::stack<long, std::deque<long, std::allocator<long> > >::push(long const&)’ at /usr/include/c++/14/bits/stl_stack.h:259:20,
      inlined from ‘__pyx_f_7sklearn_4tree_5_tree__cost_complexity_prune(__Pyx_memviewslice, __pyx_obj_7sklearn_4tree_5_tree_Tree*, __pyx_obj_7sklearn_4tree_5_tree__CCPPruneController*) [clone .isra.0]’ at sklearn/tree/_tree.cpython-312-s390x-linux-gnu.so.p/sklearn/tree/_tree.pyx.cpp:43505:44:
  /usr/include/c++/14/bits/new_allocator.h:191:11: warning: ‘__pyx_v_pruned_branch_node_idx’ may be used uninitialized [-Wmaybe-uninitialized]
    191 |         { ::new((void *)__p) _Up(std::forward<_Args>(__args)...); }
        |           ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  sklearn/tree/_tree.cpython-312-s390x-linux-gnu.so.p/sklearn/tree/_tree.pyx.cpp: In function ‘__pyx_f_7sklearn_4tree_5_tree__cost_complexity_prune(__Pyx_memviewslice, __pyx_obj_7sklearn_4tree_5_tree_Tree*, __pyx_obj_7sklearn_4tree_5_tree__CCPPruneController*) [clone .isra.0]’:
  sklearn/tree/_tree.cpython-312-s390x-linux-gnu.so.p/sklearn/tree/_tree.pyx.cpp:42635:45: note: ‘__pyx_v_pruned_branch_node_idx’ was declared here
  42635 |   __pyx_t_7sklearn_5utils_9_typedefs_intp_t __pyx_v_pruned_branch_node_idx;
        |                                             ^~~~~~~~~~~~~~~~~~~~~~~~~~~~~~
  [244/251] Compiling C object sklearn/tree/_partitioner.cpython-312-s390x-linux-gnu.so.p/meson-generated_sklearn_tree__partitioner.pyx.c.o
  [245/251] Compiling C object sklearn/tree/_criterion.cpython-312-s390x-linux-gnu.so.p/meson-generated_sklearn_tree__criterion.pyx.c.o
  [246/251] Linking target sklearn/tree/_partitioner.cpython-312-s390x-linux-gnu.so
  [247/251] Compiling Cython source /builddir/build/BUILD/scikit_learn-1.6.1/sklearn/tree/_utils.pyx
  [248/251] Linking target sklearn/tree/_criterion.cpython-312-s390x-linux-gnu.so
  [249/251] Linking target sklearn/tree/_tree.cpython-312-s390x-linux-gnu.so
  [250/251] Compiling C object sklearn/tree/_utils.cpython-312-s390x-linux-gnu.so.p/meson-generated_sklearn_tree__utils.pyx.c.o
  [251/251] Linking target sklearn/tree/_utils.cpython-312-s390x-linux-gnu.so
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  Preparing metadata (pyproject.toml): finished with status 'done'
Building wheels for collected packages: scikit-learn
  Building wheel for scikit-learn (pyproject.toml): started
  Running command Building wheel for scikit-learn (pyproject.toml)
  Building wheel for scikit-learn (pyproject.toml): finished with status 'done'
  Created wheel for scikit-learn: filename=scikit_learn-1.6.1-cp312-cp312-linux_s390x.whl size=51051597 sha256=311118041290d41af7a4c0c53b1bde3b0d2182e4915417fa1745de1f1048a07d
  Stored in directory: /builddir/.cache/pip/wheels/7b/ea/7c/c8acd643ddad7ae0a0b058ae5792c1967abeeb115e722b5af2
Successfully built scikit-learn
+ RPM_EC=0
++ jobs -p
+ exit 0
Executing(%install): /bin/sh -e /var/tmp/rpm-tmp.fsvYGh
+ umask 022
+ cd /builddir/build/BUILD
+ '[' /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x '!=' / ']'
+ rm -rf /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x
++ dirname /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x
+ mkdir -p /builddir/build/BUILDROOT
+ mkdir /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x
+ 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=z14 -mtune=z15 -fasynchronous-unwind-tables -fstack-clash-protection '
+ export CFLAGS
+ CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=z14 -mtune=z15 -fasynchronous-unwind-tables -fstack-clash-protection '
+ export CXXFLAGS
+ FFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=z14 -mtune=z15 -fasynchronous-unwind-tables -fstack-clash-protection -I/usr/lib64/gfortran/modules '
+ export FFLAGS
+ FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=z14 -mtune=z15 -fasynchronous-unwind-tables -fstack-clash-protection -I/usr/lib64/gfortran/modules '
+ export FCFLAGS
+ VALAFLAGS=-g
+ export VALAFLAGS
+ LDFLAGS='-Wl,-z,relro -Wl,--as-needed   -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes '
+ export LDFLAGS
+ LT_SYS_LIBRARY_PATH=/usr/lib64:
+ export LT_SYS_LIBRARY_PATH
+ CC=gcc
+ export CC
+ CXX=g++
+ export CXX
+ cd scikit_learn-1.6.1
++ ls /builddir/build/BUILD/scikit_learn-1.6.1/pyproject-wheeldir/scikit_learn-1.6.1-cp312-cp312-linux_s390x.whl
++ sed -E 's/([^-]+)-([^-]+)-.+\.whl/\1==\2/'
++ xargs basename --multiple
+ specifier=scikit_learn==1.6.1
+ '[' -z scikit_learn==1.6.1 ']'
+ TMPDIR=/builddir/build/BUILD/scikit_learn-1.6.1/.pyproject-builddir
+ /usr/bin/python3 -m pip install --root /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x --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/scikit_learn-1.6.1/pyproject-wheeldir scikit_learn==1.6.1
Using pip 23.3.2 from /usr/lib/python3.12/site-packages/pip (python 3.12)
Looking in links: /builddir/build/BUILD/scikit_learn-1.6.1/pyproject-wheeldir
Processing ./pyproject-wheeldir/scikit_learn-1.6.1-cp312-cp312-linux_s390x.whl
Installing collected packages: scikit_learn
Successfully installed scikit_learn-1.6.1
+ '[' -d /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/bin ']'
+ rm -f /builddir/build/BUILD/python-scikit-learn-1.6.1-3.el10_0.s390x-pyproject-ghost-distinfo
+ site_dirs=()
+ '[' -d /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib/python3.12/site-packages ']'
+ '[' /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages '!=' /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib/python3.12/site-packages ']'
+ '[' -d /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages ']'
+ site_dirs+=("/usr/lib64/python3.12/site-packages")
+ for site_dir in ${site_dirs[@]}
+ for distinfo in /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x$site_dir/*.dist-info
+ echo '%ghost /usr/lib64/python3.12/site-packages/scikit_learn-1.6.1.dist-info'
+ sed -i s/pip/rpm/ /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/scikit_learn-1.6.1.dist-info/INSTALLER
+ PYTHONPATH=/usr/lib/rpm/redhat
+ /usr/bin/python3 -B /usr/lib/rpm/redhat/pyproject_preprocess_record.py --buildroot /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x --record /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/scikit_learn-1.6.1.dist-info/RECORD --output /builddir/build/BUILD/python-scikit-learn-1.6.1-3.el10_0.s390x-pyproject-record
+ rm -fv /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/scikit_learn-1.6.1.dist-info/RECORD
removed '/builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/scikit_learn-1.6.1.dist-info/RECORD'
+ rm -fv /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/scikit_learn-1.6.1.dist-info/REQUESTED
removed '/builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/scikit_learn-1.6.1.dist-info/REQUESTED'
++ wc -l /builddir/build/BUILD/python-scikit-learn-1.6.1-3.el10_0.s390x-pyproject-ghost-distinfo
++ cut -f1 '-d '
+ lines=1
+ '[' 1 -ne 1 ']'
+ RPM_FILES_ESCAPE=4.19
+ /usr/bin/python3 /usr/lib/rpm/redhat/pyproject_save_files.py --output-files /builddir/build/BUILD/python-scikit-learn-1.6.1-3.el10_0.s390x-pyproject-files --output-modules /builddir/build/BUILD/python-scikit-learn-1.6.1-3.el10_0.s390x-pyproject-modules --buildroot /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x --sitelib /usr/lib/python3.12/site-packages --sitearch /usr/lib64/python3.12/site-packages --python-version 3.12 --pyproject-record /builddir/build/BUILD/python-scikit-learn-1.6.1-3.el10_0.s390x-pyproject-record --prefix /usr sklearn
+ /usr/bin/find-debuginfo -j2 --strict-build-id -m -i --build-id-seed 1.6.1-3.el10_0 --unique-debug-suffix -1.6.1-3.el10_0.s390x --unique-debug-src-base python-scikit-learn-1.6.1-3.el10_0.s390x --run-dwz --dwz-low-mem-die-limit 10000000 --dwz-max-die-limit 50000000 -S debugsourcefiles.list /builddir/build/BUILD/scikit_learn-1.6.1
find-debuginfo: starting
Extracting debug info from 68 files
DWARF-compressing 68 files
sepdebugcrcfix: Updated 68 CRC32s, 0 CRC32s did match.
Creating .debug symlinks for symlinks to ELF files
Copying sources found by 'debugedit -l' to /usr/src/debug/python-scikit-learn-1.6.1-3.el10_0.s390x
cpio: .mesonpy-iirkpjxu/: Cannot stat: No such file or directory
cpio: .mesonpy-iirkpjxu/sklearn/__check_build/_check_build.cpython-312-s390x-linux-gnu.so.p/sklearn/__check_build/_check_build.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-iirkpjxu/sklearn/_isotonic.cpython-312-s390x-linux-gnu.so.p/sklearn/_isotonic.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-iirkpjxu/sklearn/_loss/_loss.cpython-312-s390x-linux-gnu.so.p/sklearn/_loss/_loss.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-iirkpjxu/sklearn/cluster/_dbscan_inner.cpython-312-s390x-linux-gnu.so.p/sklearn/cluster/_dbscan_inner.pyx.cpp: Cannot stat: No such file or directory
cpio: .mesonpy-iirkpjxu/sklearn/cluster/_hdbscan/_linkage.cpython-312-s390x-linux-gnu.so.p/sklearn/cluster/_hdbscan/_linkage.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-iirkpjxu/sklearn/cluster/_hdbscan/_reachability.cpython-312-s390x-linux-gnu.so.p/sklearn/cluster/_hdbscan/_reachability.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-iirkpjxu/sklearn/cluster/_hdbscan/_tree.cpython-312-s390x-linux-gnu.so.p/sklearn/cluster/_hdbscan/_tree.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-iirkpjxu/sklearn/cluster/_hierarchical_fast.cpython-312-s390x-linux-gnu.so.p/sklearn/cluster/_hierarchical_fast.pyx.cpp: Cannot stat: No such file or directory
cpio: .mesonpy-iirkpjxu/sklearn/cluster/_k_means_common.cpython-312-s390x-linux-gnu.so.p/sklearn/cluster/_k_means_common.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-iirkpjxu/sklearn/cluster/_k_means_elkan.cpython-312-s390x-linux-gnu.so.p/sklearn/cluster/_k_means_elkan.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-iirkpjxu/sklearn/cluster/_k_means_lloyd.cpython-312-s390x-linux-gnu.so.p/sklearn/cluster/_k_means_lloyd.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-iirkpjxu/sklearn/cluster/_k_means_minibatch.cpython-312-s390x-linux-gnu.so.p/sklearn/cluster/_k_means_minibatch.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-iirkpjxu/sklearn/datasets/_svmlight_format_fast.cpython-312-s390x-linux-gnu.so.p/sklearn/datasets/_svmlight_format_fast.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-iirkpjxu/sklearn/decomposition/_cdnmf_fast.cpython-312-s390x-linux-gnu.so.p/sklearn/decomposition/_cdnmf_fast.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-iirkpjxu/sklearn/decomposition/_online_lda_fast.cpython-312-s390x-linux-gnu.so.p/sklearn/decomposition/_online_lda_fast.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-iirkpjxu/sklearn/ensemble/_gradient_boosting.cpython-312-s390x-linux-gnu.so.p/sklearn/ensemble/_gradient_boosting.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-iirkpjxu/sklearn/ensemble/_hist_gradient_boosting/_binning.cpython-312-s390x-linux-gnu.so.p/sklearn/ensemble/_hist_gradient_boosting/_binning.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-iirkpjxu/sklearn/ensemble/_hist_gradient_boosting/_bitset.cpython-312-s390x-linux-gnu.so.p/sklearn/ensemble/_hist_gradient_boosting/_bitset.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-iirkpjxu/sklearn/ensemble/_hist_gradient_boosting/_gradient_boosting.cpython-312-s390x-linux-gnu.so.p/sklearn/ensemble/_hist_gradient_boosting/_gradient_boosting.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-iirkpjxu/sklearn/ensemble/_hist_gradient_boosting/_predictor.cpython-312-s390x-linux-gnu.so.p/sklearn/ensemble/_hist_gradient_boosting/_predictor.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-iirkpjxu/sklearn/ensemble/_hist_gradient_boosting/common.cpython-312-s390x-linux-gnu.so.p/sklearn/ensemble/_hist_gradient_boosting/common.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-iirkpjxu/sklearn/ensemble/_hist_gradient_boosting/histogram.cpython-312-s390x-linux-gnu.so.p/sklearn/ensemble/_hist_gradient_boosting/histogram.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-iirkpjxu/sklearn/ensemble/_hist_gradient_boosting/splitting.cpython-312-s390x-linux-gnu.so.p/sklearn/ensemble/_hist_gradient_boosting/splitting.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-iirkpjxu/sklearn/feature_extraction/_hashing_fast.cpython-312-s390x-linux-gnu.so.p/sklearn/feature_extraction/_hashing_fast.pyx.cpp: Cannot stat: No such file or directory
cpio: .mesonpy-iirkpjxu/sklearn/linear_model/_cd_fast.cpython-312-s390x-linux-gnu.so.p/sklearn/linear_model/_cd_fast.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-iirkpjxu/sklearn/linear_model/_sag_fast.cpython-312-s390x-linux-gnu.so.p/sklearn/linear_model/_sag_fast.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-iirkpjxu/sklearn/linear_model/_sgd_fast.cpython-312-s390x-linux-gnu.so.p/sklearn/linear_model/_sgd_fast.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-iirkpjxu/sklearn/manifold/_barnes_hut_tsne.cpython-312-s390x-linux-gnu.so.p/sklearn/manifold/_barnes_hut_tsne.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-iirkpjxu/sklearn/manifold/_utils.cpython-312-s390x-linux-gnu.so.p/sklearn/manifold/_utils.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-iirkpjxu/sklearn/metrics/_dist_metrics.cpython-312-s390x-linux-gnu.so.p/sklearn/metrics/_dist_metrics.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-iirkpjxu/sklearn/metrics/_pairwise_distances_reduction/_argkmin.cpython-312-s390x-linux-gnu.so.p/sklearn/metrics/_pairwise_distances_reduction/_argkmin.pyx.cpp: Cannot stat: No such file or directory
cpio: .mesonpy-iirkpjxu/sklearn/metrics/_pairwise_distances_reduction/_argkmin_classmode.cpython-312-s390x-linux-gnu.so.p/sklearn/metrics/_pairwise_distances_reduction/_argkmin_classmode.pyx.cpp: Cannot stat: No such file or directory
cpio: .mesonpy-iirkpjxu/sklearn/metrics/_pairwise_distances_reduction/_base.cpython-312-s390x-linux-gnu.so.p/sklearn/metrics/_pairwise_distances_reduction/_base.pyx.cpp: Cannot stat: No such file or directory
cpio: .mesonpy-iirkpjxu/sklearn/metrics/_pairwise_distances_reduction/_datasets_pair.cpython-312-s390x-linux-gnu.so.p/sklearn/metrics/_pairwise_distances_reduction/_datasets_pair.pyx.cpp: Cannot stat: No such file or directory
cpio: .mesonpy-iirkpjxu/sklearn/metrics/_pairwise_distances_reduction/_middle_term_computer.cpython-312-s390x-linux-gnu.so.p/sklearn/metrics/_pairwise_distances_reduction/_middle_term_computer.pyx.cpp: Cannot stat: No such file or directory
cpio: .mesonpy-iirkpjxu/sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors.cpython-312-s390x-linux-gnu.so.p/sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors.pyx.cpp: Cannot stat: No such file or directory
cpio: .mesonpy-iirkpjxu/sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors_classmode.cpython-312-s390x-linux-gnu.so.p/sklearn/metrics/_pairwise_distances_reduction/_radius_neighbors_classmode.pyx.cpp: Cannot stat: No such file or directory
cpio: .mesonpy-iirkpjxu/sklearn/metrics/_pairwise_fast.cpython-312-s390x-linux-gnu.so.p/sklearn/metrics/_pairwise_fast.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-iirkpjxu/sklearn/metrics/cluster/_expected_mutual_info_fast.cpython-312-s390x-linux-gnu.so.p/sklearn/metrics/cluster/_expected_mutual_info_fast.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-iirkpjxu/sklearn/neighbors/_ball_tree.cpython-312-s390x-linux-gnu.so.p/sklearn/neighbors/_ball_tree.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-iirkpjxu/sklearn/neighbors/_kd_tree.cpython-312-s390x-linux-gnu.so.p/sklearn/neighbors/_kd_tree.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-iirkpjxu/sklearn/neighbors/_partition_nodes.cpython-312-s390x-linux-gnu.so.p/sklearn/neighbors/_partition_nodes.pyx.cpp: Cannot stat: No such file or directory
cpio: .mesonpy-iirkpjxu/sklearn/neighbors/_quad_tree.cpython-312-s390x-linux-gnu.so.p/sklearn/neighbors/_quad_tree.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-iirkpjxu/sklearn/preprocessing/_csr_polynomial_expansion.cpython-312-s390x-linux-gnu.so.p/sklearn/preprocessing/_csr_polynomial_expansion.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-iirkpjxu/sklearn/preprocessing/_target_encoder_fast.cpython-312-s390x-linux-gnu.so.p/sklearn/preprocessing/_target_encoder_fast.pyx.cpp: Cannot stat: No such file or directory
cpio: .mesonpy-iirkpjxu/sklearn/svm/_liblinear.cpython-312-s390x-linux-gnu.so.p/sklearn/svm/_liblinear.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-iirkpjxu/sklearn/svm/_libsvm.cpython-312-s390x-linux-gnu.so.p/sklearn/svm/_libsvm.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-iirkpjxu/sklearn/svm/_libsvm_sparse.cpython-312-s390x-linux-gnu.so.p/sklearn/svm/_libsvm_sparse.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-iirkpjxu/sklearn/svm/_newrand.cpython-312-s390x-linux-gnu.so.p/sklearn/svm/_newrand.pyx.cpp: Cannot stat: No such file or directory
cpio: .mesonpy-iirkpjxu/sklearn/tree/_criterion.cpython-312-s390x-linux-gnu.so.p/sklearn/tree/_criterion.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-iirkpjxu/sklearn/tree/_partitioner.cpython-312-s390x-linux-gnu.so.p/sklearn/tree/_partitioner.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-iirkpjxu/sklearn/tree/_splitter.cpython-312-s390x-linux-gnu.so.p/sklearn/tree/_splitter.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-iirkpjxu/sklearn/tree/_tree.cpython-312-s390x-linux-gnu.so.p/sklearn/tree/_tree.pyx.cpp: Cannot stat: No such file or directory
cpio: .mesonpy-iirkpjxu/sklearn/tree/_utils.cpython-312-s390x-linux-gnu.so.p/sklearn/tree/_utils.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-iirkpjxu/sklearn/utils/_cython_blas.cpython-312-s390x-linux-gnu.so.p/sklearn/utils/_cython_blas.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-iirkpjxu/sklearn/utils/_fast_dict.cpython-312-s390x-linux-gnu.so.p/sklearn/utils/_fast_dict.pyx.cpp: Cannot stat: No such file or directory
cpio: .mesonpy-iirkpjxu/sklearn/utils/_heap.cpython-312-s390x-linux-gnu.so.p/sklearn/utils/_heap.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-iirkpjxu/sklearn/utils/_isfinite.cpython-312-s390x-linux-gnu.so.p/sklearn/utils/_isfinite.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-iirkpjxu/sklearn/utils/_openmp_helpers.cpython-312-s390x-linux-gnu.so.p/sklearn/utils/_openmp_helpers.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-iirkpjxu/sklearn/utils/_random.cpython-312-s390x-linux-gnu.so.p/sklearn/utils/_random.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-iirkpjxu/sklearn/utils/_seq_dataset.cpython-312-s390x-linux-gnu.so.p/sklearn/utils/_seq_dataset.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-iirkpjxu/sklearn/utils/_sorting.cpython-312-s390x-linux-gnu.so.p/sklearn/utils/_sorting.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-iirkpjxu/sklearn/utils/_typedefs.cpython-312-s390x-linux-gnu.so.p/sklearn/utils/_typedefs.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-iirkpjxu/sklearn/utils/_vector_sentinel.cpython-312-s390x-linux-gnu.so.p/sklearn/utils/_vector_sentinel.pyx.cpp: Cannot stat: No such file or directory
cpio: .mesonpy-iirkpjxu/sklearn/utils/_weight_vector.cpython-312-s390x-linux-gnu.so.p/sklearn/utils/_weight_vector.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-iirkpjxu/sklearn/utils/arrayfuncs.cpython-312-s390x-linux-gnu.so.p/sklearn/utils/arrayfuncs.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-iirkpjxu/sklearn/utils/murmurhash.cpython-312-s390x-linux-gnu.so.p/sklearn/utils/murmurhash.pyx.c: Cannot stat: No such file or directory
cpio: .mesonpy-iirkpjxu/sklearn/utils/sparsefuncs_fast.cpython-312-s390x-linux-gnu.so.p/sklearn/utils/sparsefuncs_fast.pyx.c: Cannot stat: No such file or directory
find-debuginfo: done
+ /usr/lib/rpm/check-buildroot
+ /usr/lib/rpm/redhat/brp-ldconfig
+ /usr/lib/rpm/brp-compress
+ /usr/lib/rpm/redhat/brp-strip-lto /usr/bin/strip
+ /usr/lib/rpm/brp-strip-static-archive /usr/bin/strip
+ /usr/lib/rpm/check-rpaths
+ /usr/lib/rpm/redhat/brp-mangle-shebangs
*** WARNING: ./usr/lib64/python3.12/site-packages/sklearn/cluster/_optics.py is executable but has no shebang, removing executable bit
*** WARNING: ./usr/lib64/python3.12/site-packages/sklearn/ensemble/tests/test_weight_boosting.py is executable but has no shebang, removing executable bit
+ /usr/lib/rpm/brp-remove-la-files
+ env /usr/lib/rpm/redhat/brp-python-bytecompile '' 1 0 -j2
Bytecompiling .py files below /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12 using python3.12
Bytecompiling .py files below /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib/debug/usr/lib64/python3.12 using python3.12
+ /usr/lib/rpm/redhat/brp-python-hardlink
Executing(%check): /bin/sh -e /var/tmp/rpm-tmp.86TFs7
+ umask 022
+ cd /builddir/build/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=z14 -mtune=z15 -fasynchronous-unwind-tables -fstack-clash-protection '
+ export CFLAGS
+ CXXFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Werror=format-security -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=z14 -mtune=z15 -fasynchronous-unwind-tables -fstack-clash-protection '
~/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages ~/build/BUILD/scikit_learn-1.6.1
+ 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=z14 -mtune=z15 -fasynchronous-unwind-tables -fstack-clash-protection -I/usr/lib64/gfortran/modules '
+ export FFLAGS
+ FCFLAGS='-O2 -flto=auto -ffat-lto-objects -fexceptions -g -grecord-gcc-switches -pipe -Wall -Wp,-U_FORTIFY_SOURCE,-D_FORTIFY_SOURCE=3 -Wp,-D_GLIBCXX_ASSERTIONS -specs=/usr/lib/rpm/redhat/redhat-hardened-cc1 -fstack-protector-strong -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -m64 -march=z14 -mtune=z15 -fasynchronous-unwind-tables -fstack-clash-protection -I/usr/lib64/gfortran/modules '
+ export FCFLAGS
+ VALAFLAGS=-g
+ export VALAFLAGS
+ LDFLAGS='-Wl,-z,relro -Wl,--as-needed   -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes '
+ export LDFLAGS
+ LT_SYS_LIBRARY_PATH=/usr/lib64:
+ export LT_SYS_LIBRARY_PATH
+ CC=gcc
+ export CC
+ CXX=g++
+ export CXX
+ cd scikit_learn-1.6.1
+ export PYTHONDONTWRITEBYTECODE=1
+ PYTHONDONTWRITEBYTECODE=1
+ export 'PYTEST_ADDOPTS=-p no:cacheprovider'
+ PYTEST_ADDOPTS='-p no:cacheprovider'
+ pushd /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages
+ pytest --deselect 'sklearn/datasets/tests/test_openml.py::test_fetch_openml_verify_checksum[True-liac-arff]' --deselect 'sklearn/datasets/tests/test_openml.py::test_fetch_openml_verify_checksum[False-liac-arff]' --deselect 'sklearn/datasets/tests/test_openml.py::test_fetch_openml_verify_checksum[True-pandas]' --deselect 'sklearn/datasets/tests/test_openml.py::test_fetch_openml_verify_checksum[False-pandas]' --deselect sklearn/covariance/tests/test_covariance.py --deselect sklearn/covariance/tests/test_robust_covariance.py --deselect sklearn/linear_model/tests/test_bayes.py::test_toy_ard_object --deselect 'sklearn/linear_model/tests/test_bayes.py::test_ard_accuracy_on_easy_problem[42-10-100]' --deselect 'sklearn/linear_model/tests/test_bayes.py::test_ard_accuracy_on_easy_problem[42-100-10]' --deselect 'sklearn/tests/test_common.py::test_estimators[ARDRegression(max_iter=5)-check_dont_overwrite_parameters]' --deselect 'sklearn/tests/test_common.py::test_estimators[ARDRegression(max_iter=5)-check_f_contiguous_array_estimator]' --deselect 'sklearn/tests/test_common.py::test_estimators[ARDRegression(max_iter=5)-check_regressors_no_decision_function]' --deselect 'sklearn/tests/test_common.py::test_estimators[ARDRegression(max_iter=5)-check_methods_sample_order_invariance]' --deselect 'sklearn/tests/test_common.py::test_estimators[ARDRegression(max_iter=5)-check_methods_subset_invariance]' --deselect 'sklearn/tests/test_common.py::test_estimators[ARDRegression(max_iter=5)-check_fit2d_1feature]' --deselect 'sklearn/tests/test_common.py::test_estimators[ARDRegression(max_iter=5)-check_dict_unchanged]' --deselect 'sklearn/tests/test_common.py::test_estimators[ARDRegression(max_iter=5)-check_fit2d_predict1d]' --deselect 'sklearn/tests/test_common.py::test_estimators[EllipticEnvelope()-check_fit2d_1feature]' --deselect 'sklearn/tests/test_common.py::test_estimators[EmpiricalCovariance()-check_fit2d_1feature]' --deselect 'sklearn/tests/test_common.py::test_estimators[FastICA(max_iter=5)-check_dont_overwrite_parameters]' --deselect 'sklearn/tests/test_common.py::test_estimators[FastICA(max_iter=5)-check_methods_sample_order_invariance]' --deselect 'sklearn/tests/test_common.py::test_estimators[FastICA(max_iter=5)-check_methods_subset_invariance]' --deselect 'sklearn/tests/test_common.py::test_estimators[FastICA(max_iter=5)-check_fit2d_1feature]' --deselect 'sklearn/tests/test_common.py::test_estimators[FastICA(max_iter=5,n_components=1)-check_dict_unchanged]' --deselect 'sklearn/tests/test_common.py::test_estimators[FastICA(max_iter=5)-check_fit2d_predict1d]' --deselect 'sklearn/tests/test_common.py::test_estimators[KernelPCA()-check_fit2d_1sample]' --deselect 'sklearn/tests/test_common.py::test_estimators[LedoitWolf()-check_fit2d_1feature]' --deselect 'sklearn/tests/test_common.py::test_estimators[MinCovDet()-check_fit2d_1feature]' --deselect 'sklearn/tests/test_common.py::test_estimators[OAS()-check_fit2d_1feature]' --deselect 'sklearn/tests/test_common.py::test_estimators[RidgeCV()-check_fit2d_1sample]' --deselect 'sklearn/tests/test_common.py::test_estimators[RidgeClassifierCV()-check_fit2d_1sample]' --deselect 'sklearn/tests/test_common.py::test_estimators[ShrunkCovariance()-check_fit2d_1feature]' --deselect 'sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ARDRegression(max_iter=5)]' --deselect 'sklearn/utils/tests/test_validation.py::test_check_is_fitted_with_attributes[list]' --deselect sklearn/utils/tests/test_validation.py::test_check_is_fitted sklearn
============================= test session starts ==============================
platform linux -- Python 3.12.9, pytest-7.4.3, pluggy-1.3.0
rootdir: /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages
collected 37831 items / 56 deselected / 1 skipped / 37775 selected
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sklearn/utils/tests/test_user_interface.py .......................       [ 99%]
sklearn/utils/tests/test_utils.py ...                                    [ 99%]
sklearn/utils/tests/test_validation.py ................................. [ 99%]
.............s......ssssssssssssssssssss..................s.sssssssssss. [ 99%]
..................................................................ssssss [ 99%]
sssssssssssssssssssssss...s.................sssss....ssssssssssss.sss..s [ 99%]
s.s.....sssssssssssss..............................ss.                   [ 99%]
sklearn/utils/tests/test_weight_vector.py ..                             [100%]
=============================== warnings summary ===============================
sklearn/utils/_test_common/instance_generator.py:705
sklearn/utils/_test_common/instance_generator.py:705
sklearn/utils/_test_common/instance_generator.py:705
sklearn/utils/_test_common/instance_generator.py:705
sklearn/utils/_test_common/instance_generator.py:705
sklearn/utils/_test_common/instance_generator.py:705
sklearn/utils/_test_common/instance_generator.py:705
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/utils/_test_common/instance_generator.py:705: SkipTestWarning: Can't instantiate estimator FrozenEstimator
    warnings.warn(msg, SkipTestWarning)
sklearn/utils/_test_common/instance_generator.py:705
sklearn/utils/_test_common/instance_generator.py:705
sklearn/utils/_test_common/instance_generator.py:705
sklearn/utils/_test_common/instance_generator.py:705
sklearn/utils/_test_common/instance_generator.py:705
sklearn/utils/_test_common/instance_generator.py:705
sklearn/utils/_test_common/instance_generator.py:705
sklearn/utils/_test_common/instance_generator.py:705
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/utils/_test_common/instance_generator.py:705: SkipTestWarning: Can't instantiate estimator SparseCoder
    warnings.warn(msg, SkipTestWarning)
sklearn/utils/estimator_checks.py:370
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/utils/estimator_checks.py:370: SkipTestWarning: Explicit SKIP via _skip_test tag for estimator ClassifierChain.
    warnings.warn(
sklearn/utils/estimator_checks.py:362
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/utils/estimator_checks.py:362: 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:362
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/utils/estimator_checks.py:362: 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:362
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/utils/estimator_checks.py:362: 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:362
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/utils/estimator_checks.py:362: 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:362
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/utils/estimator_checks.py:362: 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:362
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/utils/estimator_checks.py:362: 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:362
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/utils/estimator_checks.py:362: 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:362
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/utils/estimator_checks.py:362: 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:370
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/utils/estimator_checks.py:370: SkipTestWarning: Explicit SKIP via _skip_test tag for estimator MultiOutputClassifier.
    warnings.warn(
sklearn/utils/estimator_checks.py:362
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/utils/estimator_checks.py:362: 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:362
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/utils/estimator_checks.py:362: 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(
../../../../../../BUILD/scikit_learn-1.6.1/sklearn/utils/_typedefs.pyx:21
  /builddir/build/BUILD/scikit_learn-1.6.1/sklearn/utils/_typedefs.pyx:21: PytestCollectionWarning: cannot collect 'testing_make_array_from_typed_val' because it is not a function.
    def testing_make_array_from_typed_val(testing_type_t val):
sklearn/cluster/tests/test_affinity_propagation.py::test_affinity_propagation_equal_points
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/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/cluster/tests/test_bicluster.py::test_n_features_in_[est0]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/base.py:1389: ConvergenceWarning: Number of distinct clusters (2) found smaller than n_clusters (3). Possibly due to duplicate points in X.
    return fit_method(estimator, *args, **kwargs)
sklearn/cluster/tests/test_birch.py::test_birch_predict[float64-42]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/cluster/_birch.py:727: ConvergenceWarning: Number of subclusters found (3) by BIRCH is less than (4). Decrease the threshold.
    warnings.warn(
sklearn/cluster/tests/test_dbscan.py: 10 warnings
sklearn/cluster/tests/test_optics.py: 2 warnings
sklearn/manifold/tests/test_isomap.py: 1 warning
sklearn/neighbors/tests/test_neighbors.py: 122 warnings
sklearn/utils/tests/test_estimator_checks.py: 21 warnings
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/neighbors/_base.py:248: EfficiencyWarning: Precomputed sparse input was not sorted by row values. Use the function sklearn.neighbors.sort_graph_by_row_values to sort the input by row values, with warn_when_not_sorted=False to remove this warning.
    warnings.warn(
sklearn/cluster/tests/test_hdbscan.py::test_hdbscan_usable_inputs[kwargs0-X0]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/cluster/_hdbscan/hdbscan.py:273: UserWarning: The minimum spanning tree contains edge weights with value infinity. Potentially, you are missing too many distances in the initial distance matrix for the given neighborhood size.
    warn(
sklearn/cluster/tests/test_hierarchical.py::test_affinity_passed_to_fix_connectivity
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/cluster/_agglomerative.py:596: UserWarning: the number of connected components of the connectivity matrix is 2 > 1. Completing it to avoid stopping the tree early.
    connectivity, n_connected_components = _fix_connectivity(
sklearn/cluster/tests/test_mean_shift.py: 3 warnings
sklearn/compose/tests/test_column_transformer.py: 2 warnings
sklearn/decomposition/tests/test_dict_learning.py: 6 warnings
sklearn/decomposition/tests/test_online_lda.py: 2 warnings
sklearn/ensemble/tests/test_bagging.py: 2 warnings
sklearn/manifold/tests/test_mds.py: 1 warning
sklearn/metrics/tests/test_pairwise.py: 2 warnings
sklearn/model_selection/tests/test_search.py: 4 warnings
sklearn/neighbors/tests/test_kd_tree.py: 2 warnings
sklearn/neighbors/tests/test_neighbors.py: 2 warnings
sklearn/tests/test_multioutput.py: 2 warnings
  /usr/lib/python3.12/site-packages/joblib/externals/loky/backend/fork_exec.py:38: DeprecationWarning: This process (pid=13725) is multi-threaded, use of fork() may lead to deadlocks in the child.
    pid = os.fork()
sklearn/cluster/tests/test_spectral.py::test_precomputed_nearest_neighbors_filtering
sklearn/cluster/tests/test_spectral.py::test_precomputed_nearest_neighbors_filtering
sklearn/manifold/tests/test_spectral_embedding.py::test_precomputed_nearest_neighbors_filtering
sklearn/manifold/tests/test_spectral_embedding.py::test_precomputed_nearest_neighbors_filtering
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/manifold/_spectral_embedding.py:329: UserWarning: Graph is not fully connected, spectral embedding may not work as expected.
    warnings.warn(
sklearn/cluster/tests/test_spectral.py::test_spectral_clustering_np_matrix_raises
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/cluster/tests/test_spectral.py:298: PendingDeprecationWarning: the matrix subclass is not the recommended way to represent matrices or deal with linear algebra (see https://docs.scipy.org/doc/numpy/user/numpy-for-matlab-users.html). Please adjust your code to use regular ndarray.
    X = np.matrix([[0.0, 2.0], [2.0, 0.0]])
sklearn/covariance/tests/test_graphical_lasso.py::test_graphical_lasso_n_iter[cd]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/covariance/_graph_lasso.py:140: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0008809462491802811, tolerance: 8.876533008162486e-05
    coefs, _, _, _ = cd_fast.enet_coordinate_descent_gram(
sklearn/covariance/tests/test_graphical_lasso.py::test_graphical_lasso_n_iter[cd]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/covariance/_graph_lasso.py:140: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0010103266374812403, tolerance: 8.96862030376985e-05
    coefs, _, _, _ = cd_fast.enet_coordinate_descent_gram(
sklearn/covariance/tests/test_graphical_lasso.py::test_graphical_lasso_n_iter[cd]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/covariance/_graph_lasso.py:140: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.002290488556457193, tolerance: 0.00011435637954661176
    coefs, _, _, _ = cd_fast.enet_coordinate_descent_gram(
sklearn/covariance/tests/test_graphical_lasso.py::test_graphical_lasso_n_iter[cd]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/covariance/_graph_lasso.py:192: ConvergenceWarning: graphical_lasso: did not converge after 2 iteration: dual gap: 8.601e-03
    warnings.warn(
sklearn/covariance/tests/test_graphical_lasso.py: 20 warnings
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/covariance/_empirical_covariance.py:102: UserWarning: Only one sample available. You may want to reshape your data array
    warnings.warn(
sklearn/covariance/tests/test_graphical_lasso.py::test_graphical_lasso_cv
  /usr/lib64/python3.12/site-packages/numpy/core/_methods.py:173: RuntimeWarning: invalid value encountered in subtract
    x = asanyarray(arr - arrmean)
sklearn/datasets/tests/test_base.py::test_load_sample_images
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/datasets/tests/test_base.py:241: UserWarning: Could not load sample images, PIL is not available.
    warnings.warn("Could not load sample images, PIL is not available.")
sklearn/datasets/tests/test_base.py::test_load_sample_image
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/datasets/tests/test_base.py:250: UserWarning: Could not load sample images, PIL is not available.
    warnings.warn("Could not load sample images, PIL is not available.")
sklearn/datasets/tests/test_svmlight_format.py: 16 warnings
  /usr/lib64/python3.12/site-packages/scipy/sparse/_data.py:72: 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/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/datasets/tests/test_svmlight_format.py:287: RuntimeWarning: invalid value encountered in cast
    X_input = X.astype(dtype)
sklearn/decomposition/tests/test_kernel_pca.py: 28 warnings
sklearn/linear_model/tests/test_passive_aggressive.py: 2 warnings
sklearn/tests/test_multioutput.py: 39 warnings
sklearn/utils/tests/test_estimator_checks.py: 1 warning
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_stochastic_gradient.py:738: ConvergenceWarning: Maximum number of iteration reached before convergence. Consider increasing max_iter to improve the fit.
    warnings.warn(
sklearn/decomposition/tests/test_nmf.py: 30 warnings
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/decomposition/_nmf.py:1742: ConvergenceWarning: Maximum number of iterations 200 reached. Increase it to improve convergence.
    warnings.warn(
sklearn/decomposition/tests/test_nmf.py: 16 warnings
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/decomposition/_nmf.py:2328: 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/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/decomposition/_nmf.py:1742: ConvergenceWarning: Maximum number of iterations 600 reached. Increase it to improve convergence.
    warnings.warn(
sklearn/decomposition/tests/test_nmf.py: 24 warnings
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/decomposition/_nmf.py:1595: 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/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/decomposition/_nmf.py:1742: 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/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/decomposition/_nmf.py:179: RuntimeWarning: divide by zero encountered in power
    sum_WH_beta = np.sum(WH**beta)
sklearn/decomposition/tests/test_online_lda.py::test_lda_empty_docs[csr_matrix]
sklearn/decomposition/tests/test_online_lda.py::test_lda_empty_docs[csr_array]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/decomposition/_lda.py:924: RuntimeWarning: invalid value encountered in scalar divide
    perword_bound = bound / word_cnt
sklearn/ensemble/tests/test_bagging.py: 32 warnings
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/ensemble/_bagging.py:1012: RuntimeWarning: divide by zero encountered in log
    log_proba = np.log(self.predict_proba(X))
sklearn/ensemble/tests/test_bagging.py::test_oob_score_removed_on_warm_start
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/ensemble/_bagging.py:865: 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_oob_score_removed_on_warm_start
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/ensemble/_bagging.py:871: RuntimeWarning: invalid value encountered in divide
    oob_decision_function = predictions / predictions.sum(axis=1)[:, np.newaxis]
sklearn/ensemble/tests/test_bagging.py: 7 warnings
sklearn/tree/tests/test_tree.py: 73 warnings
sklearn/utils/tests/test_response.py: 1 warning
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/tree/_classes.py:1089: RuntimeWarning: divide by zero encountered in log
    return np.log(proba)
sklearn/ensemble/tests/test_common.py: 10 warnings
sklearn/linear_model/tests/test_common.py: 2 warnings
sklearn/tests/test_multioutput.py: 1 warning
sklearn/tests/test_pipeline.py: 1 warning
sklearn/utils/tests/test_estimator_checks.py: 2 warnings
sklearn/utils/tests/test_estimator_html_repr.py: 1 warning
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_logistic.py:465: ConvergenceWarning: lbfgs failed to converge (status=1):
  STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.
  
  Increase the number of iterations (max_iter) or scale the data as shown in:
      https://scikit-learn.org/stable/modules/preprocessing.html
  Please also refer to the documentation for alternative solver options:
      https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression
    n_iter_i = _check_optimize_result(
sklearn/ensemble/tests/test_forest.py::test_class_weight_errors[ExtraTreesClassifier]
sklearn/ensemble/tests/test_forest.py::test_class_weight_errors[RandomForestClassifier]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/ensemble/_forest.py:861: UserWarning: class_weight presets "balanced" or "balanced_subsample" are not recommended for warm_start if the fitted data differs from the full dataset. In order to use "balanced" weights, use compute_class_weight ("balanced", classes, y). In place of y you can use a large enough sample of the full training set target to properly estimate the class frequency distributions. Pass the resulting weights as the class_weight parameter.
    warn(
sklearn/ensemble/tests/test_forest.py::test_mse_criterion_object_segfault_smoke_test[ExtraTreesRegressor]
sklearn/ensemble/tests/test_forest.py::test_mse_criterion_object_segfault_smoke_test[RandomForestRegressor]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/base.py:1389: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples,), for example using ravel().
    return fit_method(estimator, *args, **kwargs)
sklearn/ensemble/tests/test_stacking.py: 30 warnings
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/neural_network/_multilayer_perceptron.py:691: ConvergenceWarning: Stochastic Optimizer: Maximum iterations (200) reached and the optimization hasn't converged yet.
    warnings.warn(
sklearn/ensemble/tests/test_weight_boosting.py: 9 warnings
sklearn/tests/test_common.py: 8 warnings
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/ensemble/_weight_boosting.py:610: RuntimeWarning: divide by zero encountered in log
    np.log(sample_weight)
sklearn/feature_extraction/tests/test_text.py::test_vectorizer_pipeline_grid_selection
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/model_selection/_split.py:805: UserWarning: The least populated class in y has only 4 members, which is less than n_splits=5.
    warnings.warn(
sklearn/feature_extraction/tests/test_text.py::test_vectorizer_stop_words_inconsistent
sklearn/feature_extraction/tests/test_text.py::test_vectorizer_stop_words_inconsistent
sklearn/feature_extraction/tests/test_text.py::test_vectorizer_stop_words_inconsistent
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/feature_extraction/text.py:402: UserWarning: Your stop_words may be inconsistent with your preprocessing. Tokenizing the stop words generated tokens ['and', 'll', 've'] not in stop_words.
    warnings.warn(
sklearn/feature_selection/tests/test_from_model.py: 4 warnings
sklearn/tests/test_common.py: 12 warnings
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/feature_selection/_base.py:122: UserWarning: No features were selected: either the data is too noisy or the selection test too strict.
    warnings.warn(
sklearn/feature_selection/tests/test_rfe.py: 48 warnings
sklearn/model_selection/tests/test_search.py: 30 warnings
sklearn/svm/tests/test_svm.py: 17 warnings
sklearn/tests/test_calibration.py: 16 warnings
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/svm/_base.py:1249: 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/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/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/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/feature_selection/_variance_threshold.py:122: RuntimeWarning: All-NaN slice encountered
    self.variances_ = np.nanmin(compare_arr, axis=0)
sklearn/gaussian_process/tests/test_gpc.py: 10 warnings
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/gaussian_process/kernels.py:452: ConvergenceWarning: The optimal value found for dimension 0 of parameter k1__constant_value is close to the specified upper bound 100.0. Increasing the bound and calling fit again may find a better value.
    warnings.warn(
sklearn/gaussian_process/tests/test_gpc.py::test_random_starts[42]
sklearn/gaussian_process/tests/test_gpr.py::test_constant_target[kernel3]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/gaussian_process/kernels.py:442: ConvergenceWarning: The optimal value found for dimension 0 of parameter k1__constant_value is close to the specified lower bound 0.01. Decreasing the bound and calling fit again may find a better value.
    warnings.warn(
sklearn/gaussian_process/tests/test_gpc.py::test_multi_class[kernel0]
sklearn/gaussian_process/tests/test_gpc.py::test_multi_class_n_jobs[kernel0]
sklearn/gaussian_process/tests/test_gpr.py::test_constant_target[kernel0]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/gaussian_process/kernels.py:452: ConvergenceWarning: The optimal value found for dimension 0 of parameter length_scale is close to the specified upper bound 100000.0. Increasing the bound and calling fit again may find a better value.
    warnings.warn(
sklearn/gaussian_process/tests/test_gpr.py: 24 warnings
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/gaussian_process/kernels.py:442: ConvergenceWarning: The optimal value found for dimension 0 of parameter k2__constant_value is close to the specified lower bound 1e-05. Decreasing the bound and calling fit again may find a better value.
    warnings.warn(
sklearn/gaussian_process/tests/test_gpr.py: 13 warnings
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/gaussian_process/kernels.py:442: ConvergenceWarning: The optimal value found for dimension 0 of parameter k1__k2__length_scale is close to the specified lower bound 0.001. Decreasing the bound and calling fit again may find a better value.
    warnings.warn(
sklearn/gaussian_process/tests/test_gpr.py::test_anisotropic_kernel
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/gaussian_process/_gpr.py:660: ConvergenceWarning: lbfgs failed to converge (status=2):
  ABNORMAL_TERMINATION_IN_LNSRCH.
  
  Increase the number of iterations (max_iter) or scale the data as shown in:
      https://scikit-learn.org/stable/modules/preprocessing.html
    _check_optimize_result("lbfgs", opt_res)
sklearn/gaussian_process/tests/test_gpr.py::test_random_starts
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/gaussian_process/kernels.py:442: ConvergenceWarning: The optimal value found for dimension 0 of parameter k1__k2__length_scale is close to the specified lower bound 0.0001. Decreasing the bound and calling fit again may find a better value.
    warnings.warn(
sklearn/gaussian_process/tests/test_gpr.py::test_random_starts
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/gaussian_process/kernels.py:442: ConvergenceWarning: The optimal value found for dimension 1 of parameter k1__k2__length_scale is close to the specified lower bound 0.0001. Decreasing the bound and calling fit again may find a better value.
    warnings.warn(
sklearn/gaussian_process/tests/test_gpr.py::test_bound_check_fixed_hyperparameter
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/gaussian_process/kernels.py:442: ConvergenceWarning: The optimal value found for dimension 0 of parameter k1__k2__length_scale is close to the specified lower bound 1e-05. Decreasing the bound and calling fit again may find a better value.
    warnings.warn(
sklearn/gaussian_process/tests/test_gpr.py::test_constant_target[kernel2]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/gaussian_process/kernels.py:452: ConvergenceWarning: The optimal value found for dimension 0 of parameter length_scale is close to the specified upper bound 1000.0. Increasing the bound and calling fit again may find a better value.
    warnings.warn(
sklearn/gaussian_process/tests/test_gpr.py::test_constant_target[kernel3]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/gaussian_process/kernels.py:452: ConvergenceWarning: The optimal value found for dimension 0 of parameter k2__length_scale is close to the specified upper bound 1000.0. Increasing the bound and calling fit again may find a better value.
    warnings.warn(
sklearn/gaussian_process/tests/test_gpr.py::test_constant_target[kernel4]
sklearn/gaussian_process/tests/test_gpr.py::test_constant_target[kernel5]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/gaussian_process/kernels.py:442: ConvergenceWarning: The optimal value found for dimension 0 of parameter k1__k1__constant_value is close to the specified lower bound 0.01. Decreasing the bound and calling fit again may find a better value.
    warnings.warn(
sklearn/gaussian_process/tests/test_gpr.py::test_constant_target[kernel4]
sklearn/gaussian_process/tests/test_gpr.py::test_constant_target[kernel5]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/gaussian_process/kernels.py:452: ConvergenceWarning: The optimal value found for dimension 0 of parameter k1__k2__length_scale is close to the specified upper bound 1000.0. Increasing the bound and calling fit again may find a better value.
    warnings.warn(
sklearn/gaussian_process/tests/test_gpr.py::test_gpr_fit_error[params1-ValueError-requires that all bounds are finite]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/gaussian_process/kernels.py:357: RuntimeWarning: invalid value encountered in log
    return np.log(np.vstack(bounds))
sklearn/gaussian_process/tests/test_gpr.py::test_gpr_predict_input_not_modified
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/gaussian_process/kernels.py:452: ConvergenceWarning: The optimal value found for dimension 0 of parameter constant_value is close to the specified upper bound 100000.0. Increasing the bound and calling fit again may find a better value.
    warnings.warn(
sklearn/gaussian_process/tests/test_gpr.py::test_gpr_predict_input_not_modified
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/gaussian_process/_gpr.py:478: UserWarning: Predicted variances smaller than 0. Setting those variances to 0.
    warnings.warn(
sklearn/impute/tests/test_common.py: 16 warnings
sklearn/impute/tests/test_impute.py: 1 warning
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/impute/_base.py:635: UserWarning: Skipping features without any observed values: [3]. At least one non-missing value is needed for imputation with strategy='mean'.
    warnings.warn(
sklearn/impute/tests/test_common.py: 4 warnings
sklearn/impute/tests/test_impute.py: 14 warnings
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/impute/_base.py:635: UserWarning: Skipping features without any observed values: [0]. At least one non-missing value is needed for imputation with strategy='mean'.
    warnings.warn(
sklearn/impute/tests/test_impute.py: 11 warnings
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/impute/_base.py:635: UserWarning: Skipping features without any observed values: [0]. At least one non-missing value is needed for imputation with strategy='median'.
    warnings.warn(
sklearn/impute/tests/test_impute.py: 16 warnings
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/impute/_base.py:635: UserWarning: Skipping features without any observed values: [0]. At least one non-missing value is needed for imputation with strategy='most_frequent'.
    warnings.warn(
sklearn/impute/tests/test_impute.py: 32 warnings
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/impute/_iterative.py:895: ConvergenceWarning: [IterativeImputer] Early stopping criterion not reached.
    warnings.warn(
sklearn/impute/tests/test_impute.py::test_iterative_imputer_all_missing
sklearn/impute/tests/test_impute.py::test_iterative_imputer_all_missing
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/impute/_base.py:635: UserWarning: Skipping features without any observed values: [0 1 2]. At least one non-missing value is needed for imputation with strategy='mean'.
    warnings.warn(
sklearn/impute/tests/test_impute.py::test_iterative_imputer_min_max_value_remove_empty
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/impute/_base.py:635: UserWarning: Skipping features without any observed values: [2]. At least one non-missing value is needed for imputation with strategy='mean'.
    warnings.warn(
sklearn/impute/tests/test_knn.py::test_knn_imputer_with_simple_example[-1-0]
sklearn/impute/tests/test_knn.py::test_knn_imputer_with_simple_example[nan-0]
sklearn/impute/tests/test_knn.py::test_knn_imputer_distance_weighted_not_enough_neighbors[-1-0]
sklearn/impute/tests/test_knn.py::test_knn_imputer_distance_weighted_not_enough_neighbors[-1-0]
sklearn/impute/tests/test_knn.py::test_knn_imputer_distance_weighted_not_enough_neighbors[nan-0]
sklearn/impute/tests/test_knn.py::test_knn_imputer_distance_weighted_not_enough_neighbors[nan-0]
sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_chunked_reduce[float64]
sklearn/metrics/tests/test_pairwise.py::test_pairwise_distances_chunked_reduce_none[float64]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/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/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_stochastic_gradient.py:1608: 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_ridge.py: 18 warnings
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_sag.py:348: ConvergenceWarning: The max_iter was reached which means the coef_ did not converge
    warnings.warn(
sklearn/linear_model/tests/test_common.py: 14 warnings
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/utils/validation.py:1408: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().
    y = column_or_1d(y, warn=True)
sklearn/linear_model/tests/test_common.py::test_linear_model_regressor_coef_shape[2-ElasticNetCV]
sklearn/linear_model/tests/test_common.py::test_linear_model_regressor_coef_shape[2-LassoCV]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:1664: DataConversionWarning: A column-vector y was passed when a 1d array was expected. Please change the shape of y to (n_samples, ), for example using ravel().
    y = column_or_1d(y, warn=True)
sklearn/linear_model/tests/test_coordinate_descent.py::test_enet_nonfinite_params
  /usr/lib64/python3.12/site-packages/numpy/core/_methods.py:118: RuntimeWarning: overflow encountered in reduce
    ret = umr_sum(arr, axis, dtype, out, keepdims, where=where)
sklearn/linear_model/tests/test_coordinate_descent.py::test_enet_nonfinite_params
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_base.py:311: RuntimeWarning: invalid value encountered in matmul
    intercept_ = y_offset - X_offset @ coef_
sklearn/linear_model/tests/test_huber.py::test_huber_max_iter
sklearn/linear_model/tests/test_quantile.py::test_quantile_equals_huber_for_low_epsilon[True]
sklearn/linear_model/tests/test_quantile.py::test_quantile_equals_huber_for_low_epsilon[False]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_huber.py:343: ConvergenceWarning: lbfgs failed to converge (status=1):
  STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.
  
  Increase the number of iterations (max_iter) or scale the data as shown in:
      https://scikit-learn.org/stable/modules/preprocessing.html
    self.n_iter_ = _check_optimize_result("lbfgs", opt_res, self.max_iter)
sklearn/linear_model/tests/test_omp.py::test_unreachable_accuracy
sklearn/linear_model/tests/test_omp.py::test_unreachable_accuracy
sklearn/linear_model/tests/test_omp.py::test_omp_cv
sklearn/linear_model/tests/test_omp.py::test_omp_cv
sklearn/linear_model/tests/test_omp.py::test_omp_cv
sklearn/linear_model/tests/test_omp.py::test_omp_cv
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_omp.py:445: RuntimeWarning: Orthogonal matching pursuit ended prematurely due to linear dependence in the dictionary. The requested precision might not have been met.
    out = _cholesky_omp(
sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized[wide-42-True-cholesky]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_ridge.py:252: LinAlgWarning: Ill-conditioned matrix (rcond=1.99193e-17): result may not be accurate.
    dual_coef = linalg.solve(K, y, assume_a="pos", overwrite_a=False)
sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_hstacked_X[wide-42-True-cholesky]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_ridge.py:252: LinAlgWarning: Ill-conditioned matrix (rcond=7.96772e-17): result may not be accurate.
    dual_coef = linalg.solve(K, y, assume_a="pos", overwrite_a=False)
sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[wide-42-True-cholesky]
sklearn/linear_model/tests/test_ridge.py::test_ridge_regression_unpenalized_vstacked_X[wide-42-False-cholesky]
sklearn/linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeClassifierCV-3]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_ridge.py:254: UserWarning: Singular matrix in solving dual problem. Using least-squares solution instead.
    warnings.warn(
sklearn/linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeCV-3]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_ridge.py:252: LinAlgWarning: Ill-conditioned matrix (rcond=5.74507e-17): result may not be accurate.
    dual_coef = linalg.solve(K, y, assume_a="pos", overwrite_a=False)
sklearn/linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeCV-3]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_ridge.py:252: LinAlgWarning: Ill-conditioned matrix (rcond=8.23939e-17): result may not be accurate.
    dual_coef = linalg.solve(K, y, assume_a="pos", overwrite_a=False)
sklearn/linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeCV-3]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_ridge.py:252: LinAlgWarning: Ill-conditioned matrix (rcond=3.15218e-17): result may not be accurate.
    dual_coef = linalg.solve(K, y, assume_a="pos", overwrite_a=False)
sklearn/linear_model/tests/test_ridge.py: 57 warnings
sklearn/model_selection/tests/test_search.py: 10 warnings
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/metrics/_regression.py:1266: UndefinedMetricWarning: R^2 score is not well-defined with less than two samples.
    warnings.warn(msg, UndefinedMetricWarning)
sklearn/linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeCV-3]
sklearn/linear_model/tests/test_ridge.py::test_ridgecv_sample_weight
sklearn/linear_model/tests/test_ridge.py::test_ridgecv_sample_weight
sklearn/linear_model/tests/test_ridge.py::test_ridgecv_sample_weight
sklearn/linear_model/tests/test_ridge.py::test_ridgecv_sample_weight
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/model_selection/_search.py:1108: 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/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_ridge.py:215: LinAlgWarning: Ill-conditioned matrix (rcond=4.53866e-18): result may not be accurate.
    return linalg.solve(A, Xy, assume_a="pos", overwrite_a=True).T
sklearn/linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeClassifierCV-3]
sklearn/model_selection/tests/test_search.py::test_search_with_2d_array
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/model_selection/_split.py:805: UserWarning: The least populated class in y has only 2 members, which is less than n_splits=3.
    warnings.warn(
sklearn/linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeClassifierCV-3]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_ridge.py:252: LinAlgWarning: Ill-conditioned matrix (rcond=7.76968e-17): result may not be accurate.
    dual_coef = linalg.solve(K, y, assume_a="pos", overwrite_a=False)
sklearn/linear_model/tests/test_ridge.py::test_ridgecv_alphas_zero[RidgeClassifierCV-3]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_ridge.py:252: LinAlgWarning: Ill-conditioned matrix (rcond=2.38404e-17): result may not be accurate.
    dual_coef = linalg.solve(K, y, assume_a="pos", overwrite_a=False)
sklearn/linear_model/tests/test_sparse_coordinate_descent.py::test_lasso_zero[csc_matrix]
sklearn/linear_model/tests/test_sparse_coordinate_descent.py::test_lasso_zero[csc_array]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:656: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0, tolerance: 0.0
    model = cd_fast.sparse_enet_coordinate_descent(
sklearn/manifold/tests/test_isomap.py::test_transform[float64-2-None]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/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: 129 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/python3.12/site-packages/scipy/sparse/_index.py:100: SparseEfficiencyWarning: Changing the sparsity structure of a csr_matrix is expensive. lil_matrix is more efficient.
    self._set_intXint(row, col, x.flat[0])
sklearn/manifold/tests/test_isomap.py::test_pipeline[float64-2-None]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/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/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/manifold/_isomap.py:384: UserWarning: The number of connected components of the neighbors graph is 3 > 1. Completing the graph to fit Isomap might be slow. Increase the number of neighbors to avoid this issue.
    self._fit_transform(X)
sklearn/metrics/tests/test_classification.py: 1 warning
sklearn/metrics/tests/test_common.py: 76 warnings
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/metrics/_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 due to no predicted samples. Use `zero_division` parameter to control this behavior.
    _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
sklearn/metrics/tests/test_classification.py: 1 warning
sklearn/metrics/tests/test_common.py: 25 warnings
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/metrics/_classification.py:1565: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 due to no true samples. Use `zero_division` parameter to control this behavior.
    _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
sklearn/metrics/tests/test_classification.py: 1 warning
sklearn/metrics/tests/test_common.py: 75 warnings
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/metrics/_classification.py:1565: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 due to no true nor predicted samples. Use `zero_division` parameter to control this behavior.
    _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
sklearn/metrics/tests/test_classification.py::test_classification_report_labels_subset_superset[labels2-False]
sklearn/metrics/tests/test_classification.py::test_classification_report_labels_subset_superset[labels2-False]
sklearn/metrics/tests/test_classification.py::test_classification_report_labels_subset_superset[labels2-False]
sklearn/metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[precision_score]
sklearn/metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[precision_score]
sklearn/metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[precision_score]
sklearn/metrics/tests/test_common.py::test_no_averaging_labels
sklearn/metrics/tests/test_common.py::test_no_averaging_labels
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/metrics/_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in labels with no predicted samples. Use `zero_division` parameter to control this behavior.
    _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
sklearn/metrics/tests/test_classification.py::test_classification_report_labels_subset_superset[labels2-False]
sklearn/metrics/tests/test_classification.py::test_classification_report_labels_subset_superset[labels2-False]
sklearn/metrics/tests/test_classification.py::test_classification_report_labels_subset_superset[labels2-False]
sklearn/metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[recall_score]
sklearn/metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[recall_score]
sklearn/metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[recall_score]
sklearn/metrics/tests/test_common.py::test_no_averaging_labels
sklearn/metrics/tests/test_common.py::test_no_averaging_labels
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/metrics/_classification.py:1565: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in labels with no true samples. Use `zero_division` parameter to control this behavior.
    _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
sklearn/metrics/tests/test_classification.py: 3 warnings
sklearn/metrics/tests/test_common.py: 9 warnings
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/metrics/_classification.py:1565: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in labels with no true nor predicted samples. Use `zero_division` parameter to control this behavior.
    _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
sklearn/metrics/tests/test_classification.py::test_likelihood_ratios
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/utils/_param_validation.py:216: UserWarning: positive_likelihood_ratio ill-defined and being set to nan 
    return func(*args, **kwargs)
sklearn/metrics/tests/test_classification.py::test_matthews_corrcoef
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/metrics/_classification.py:407: UserWarning: A single label was found in 'y_true' and 'y_pred'. For the confusion matrix to have the correct shape, use the 'labels' parameter to pass all known labels.
    warnings.warn(
sklearn/metrics/tests/test_classification.py::test_balanced_accuracy_score[y_true2-y_pred2]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/metrics/_classification.py:2524: UserWarning: y_pred contains classes not in y_true
    warnings.warn("y_pred contains classes not in y_true")
sklearn/metrics/tests/test_classification.py::test_classification_metric_pos_label_types[classes3-precision_recall_fscore_support]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/metrics/_classification.py:1618: UserWarning: Note that pos_label (set to 'one') is ignored when average != 'binary' (got None). You may use labels=[pos_label] to specify a single positive class.
    warnings.warn(
sklearn/metrics/tests/test_common.py: 301 warnings
sklearn/tests/test_common.py: 28 warnings
sklearn/utils/tests/test_estimator_checks.py: 2 warnings
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/utils/_array_api.py:399: RuntimeWarning: invalid value encountered in cast
    return x.astype(dtype, copy=copy, casting=casting)
sklearn/metrics/tests/test_common.py::test_normalize_option_binary_classification[top_k_accuracy_score]
sklearn/metrics/tests/test_common.py::test_normalize_option_binary_classification[top_k_accuracy_score]
sklearn/metrics/tests/test_ranking.py::test_top_k_accuracy_score_binary[y_score2-2-1]
sklearn/metrics/tests/test_ranking.py::test_top_k_accuracy_score_binary[y_score5-2-1]
sklearn/metrics/tests/test_score_objects.py::test_classification_binary_scores[top_k_accuracy-top_k_accuracy_score]
sklearn/metrics/tests/test_score_objects.py::test_classification_binary_scores[top_k_accuracy-top_k_accuracy_score]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/metrics/_ranking.py:2036: UndefinedMetricWarning: 'k' (2) greater than or equal to 'n_classes' (2) will result in a perfect score and is therefore meaningless.
    warnings.warn(
sklearn/metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[f0.5_score]
sklearn/metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[f1_score]
sklearn/metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[f2_score]
sklearn/metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[samples_f0.5_score]
sklearn/metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[samples_f1_score]
sklearn/metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[samples_f2_score]
sklearn/metrics/tests/test_score_objects.py::test_classification_scorer_sample_weight
sklearn/metrics/tests/test_score_objects.py::test_classification_scorer_sample_weight
sklearn/metrics/tests/test_score_objects.py::test_classification_scorer_sample_weight
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/metrics/_classification.py:1565: UndefinedMetricWarning: F-score is ill-defined and being set to 0.0 in samples with no true nor predicted labels. Use `zero_division` parameter to control this behavior.
    _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
sklearn/metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[jaccard_score]
sklearn/metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[jaccard_score]
sklearn/metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[jaccard_score]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/metrics/_classification.py:1565: UndefinedMetricWarning: Jaccard is ill-defined and being set to 0.0 in labels with no true or predicted samples. Use `zero_division` parameter to control this behavior.
    _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
sklearn/metrics/tests/test_common.py: 25 warnings
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/metrics/_classification.py:1565: UndefinedMetricWarning: Jaccard is ill-defined and being set to 0.0 due to no true or predicted samples. Use `zero_division` parameter to control this behavior.
    _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
sklearn/metrics/tests/test_common.py: 2 warnings
sklearn/metrics/tests/test_score_objects.py: 3 warnings
sklearn/tests/test_multioutput.py: 6 warnings
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/metrics/_classification.py:1565: UndefinedMetricWarning: Jaccard is ill-defined and being set to 0.0 in samples with no true or predicted labels. Use `zero_division` parameter to control this behavior.
    _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
sklearn/metrics/tests/test_common.py: 27 warnings
sklearn/metrics/tests/test_score_objects.py: 4 warnings
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/metrics/_classification.py:1565: UndefinedMetricWarning: Precision is ill-defined and being set to 0.0 in samples with no predicted labels. Use `zero_division` parameter to control this behavior.
    _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
sklearn/metrics/tests/test_common.py::test_averaging_multilabel_all_zeroes[recall_score]
sklearn/metrics/tests/test_common.py::test_multilabel_sample_weight_invariance[samples_recall_score]
sklearn/metrics/tests/test_score_objects.py::test_classification_scorer_sample_weight
sklearn/metrics/tests/test_score_objects.py::test_classification_scorer_sample_weight
sklearn/metrics/tests/test_score_objects.py::test_classification_scorer_sample_weight
sklearn/metrics/tests/test_score_objects.py::test_classification_scorer_sample_weight
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/metrics/_classification.py:1565: UndefinedMetricWarning: Recall is ill-defined and being set to 0.0 in samples with no true labels. Use `zero_division` parameter to control this behavior.
    _warn_prf(average, modifier, f"{metric.capitalize()} is", len(result))
sklearn/metrics/tests/test_ranking.py::test_precision_recall_curve_drop_intermediate
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/metrics/_ranking.py:1033: 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/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/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/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/metrics/_regression.py:930: RuntimeWarning: invalid value encountered in divide
    output_scores = 1 - (numerator / denominator)
sklearn/metrics/tests/test_regression.py::test_multioutput_regression
sklearn/metrics/tests/test_regression.py::test_regression_metrics_at_limits
sklearn/metrics/tests/test_regression.py::test_regression_metrics_at_limits
sklearn/metrics/tests/test_regression.py::test_regression_multioutput_array
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/metrics/_regression.py:930: RuntimeWarning: divide by zero encountered in divide
    output_scores = 1 - (numerator / denominator)
sklearn/mixture/tests/test_bayesian_mixture.py: 349 warnings
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/mixture/_bayesian_mixture.py:810: DeprecationWarning: Conversion of an array with ndim > 0 to a scalar is deprecated, and will error in future. Ensure you extract a single element from your array before performing this operation. (Deprecated NumPy 1.25.)
    log_wishart = self.n_components * np.float64(
sklearn/mixture/tests/test_gaussian_mixture.py::test_regularisation
sklearn/mixture/tests/test_gaussian_mixture.py::test_regularisation
sklearn/mixture/tests/test_gaussian_mixture.py::test_regularisation
sklearn/mixture/tests/test_gaussian_mixture.py::test_regularisation
sklearn/mixture/tests/test_gaussian_mixture.py::test_regularisation
sklearn/mixture/tests/test_gaussian_mixture.py::test_regularisation
sklearn/mixture/tests/test_gaussian_mixture.py::test_regularisation
sklearn/mixture/tests/test_gaussian_mixture.py::test_regularisation
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/base.py:1389: ConvergenceWarning: Number of distinct clusters (2) found smaller than n_clusters (10). Possibly due to duplicate points in X.
    return fit_method(estimator, *args, **kwargs)
sklearn/mixture/tests/test_gaussian_mixture.py::test_gaussian_mixture_setting_best_params
sklearn/mixture/tests/test_mixture.py::test_gaussian_mixture_n_iter[estimator0]
sklearn/mixture/tests/test_mixture.py::test_gaussian_mixture_n_iter[estimator1]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/mixture/_base.py:269: ConvergenceWarning: Best performing initialization did not converge. Try different init parameters, or increase max_iter, tol, or check for degenerate data.
    warnings.warn(
sklearn/model_selection/tests/test_search.py::test_SearchCV_with_fit_params[RandomizedSearchCV]
sklearn/model_selection/tests/test_search.py::test_SearchCV_with_fit_params[RandomizedSearchCV]
sklearn/model_selection/tests/test_search.py::test_SearchCV_with_fit_params[RandomizedSearchCV]
sklearn/model_selection/tests/test_search.py::test_empty_cv_iterator_error
sklearn/model_selection/tests/test_search.py::test_random_search_bad_cv
sklearn/model_selection/tests/test_search.py::test_inverse_transform_Xt_deprecation[RandomizedSearchCV]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/model_selection/_search.py:317: UserWarning: The total space of parameters 3 is smaller than n_iter=10. Running 3 iterations. For exhaustive searches, use GridSearchCV.
    warnings.warn(
sklearn/model_selection/tests/test_search.py: 4 warnings
sklearn/model_selection/tests/test_successive_halving.py: 1 warning
sklearn/tests/test_metaestimators_metadata_routing.py: 8 warnings
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/model_selection/_search.py:317: UserWarning: The total space of parameters 2 is smaller than n_iter=10. Running 2 iterations. For exhaustive searches, use GridSearchCV.
    warnings.warn(
sklearn/model_selection/tests/test_search.py::test_random_search_cv_results_multimetric
sklearn/model_selection/tests/test_search.py::test_random_search_cv_results_multimetric
sklearn/model_selection/tests/test_search.py::test_random_search_cv_results_multimetric
sklearn/model_selection/tests/test_search.py::test_random_search_cv_results_multimetric
sklearn/model_selection/tests/test_search.py::test_random_search_cv_results_multimetric
sklearn/model_selection/tests/test_search.py::test_random_search_cv_results_multimetric
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/model_selection/_search.py:317: UserWarning: The total space of parameters 9 is smaller than n_iter=30. Running 9 iterations. For exhaustive searches, use GridSearchCV.
    warnings.warn(
sklearn/model_selection/tests/test_search.py::test_search_cv_results_none_param
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/model_selection/_search.py:1108: UserWarning: One or more of the test scores are non-finite: [nan nan]
    warnings.warn(
sklearn/model_selection/tests/test_search.py: 1 warning
sklearn/model_selection/tests/test_validation.py: 15 warnings
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_stochastic_gradient.py:1388: 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/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/model_selection/_search.py:317: UserWarning: The total space of parameters 1 is smaller than n_iter=10. Running 1 iterations. For exhaustive searches, use GridSearchCV.
    warnings.warn(
sklearn/model_selection/tests/test_split.py: 14 warnings
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/model_selection/_split.py:805: UserWarning: The least populated class in y has only 1 members, which is less than n_splits=4.
    warnings.warn(
sklearn/model_selection/tests/test_split.py: 14 warnings
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/model_selection/_split.py:805: UserWarning: The least populated class in y has only 1 members, which is less than n_splits=6.
    warnings.warn(
sklearn/model_selection/tests/test_split.py: 14 warnings
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/model_selection/_split.py:805: UserWarning: The least populated class in y has only 1 members, which is less than n_splits=7.
    warnings.warn(
sklearn/model_selection/tests/test_split.py: 14 warnings
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/model_selection/_split.py:1023: UserWarning: The least populated class in y has only 1 members, which is less than n_splits=4.
    warnings.warn(
sklearn/model_selection/tests/test_split.py: 14 warnings
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/model_selection/_split.py:1023: UserWarning: The least populated class in y has only 1 members, which is less than n_splits=6.
    warnings.warn(
sklearn/model_selection/tests/test_split.py: 14 warnings
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/model_selection/_split.py:1023: UserWarning: The least populated class in y has only 1 members, which is less than n_splits=7.
    warnings.warn(
sklearn/model_selection/tests/test_successive_halving.py::test_input_errors[params1-Cannot use parameter a as the resource since it is part of-HalvingRandomSearchCV]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/model_selection/_search.py:317: UserWarning: The total space of parameters 1 is smaller than n_iter=100. Running 1 iterations. For exhaustive searches, use GridSearchCV.
    warnings.warn(
sklearn/model_selection/tests/test_successive_halving.py::test_groups_support[HalvingRandomSearchCV]
sklearn/model_selection/tests/test_successive_halving.py::test_groups_support[HalvingRandomSearchCV]
sklearn/model_selection/tests/test_successive_halving.py::test_groups_support[HalvingRandomSearchCV]
sklearn/model_selection/tests/test_successive_halving.py::test_groups_support[HalvingRandomSearchCV]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/model_selection/_search.py:317: UserWarning: The total space of parameters 1 is smaller than n_iter=4. Running 1 iterations. For exhaustive searches, use GridSearchCV.
    warnings.warn(
sklearn/model_selection/tests/test_successive_halving.py::test_groups_support[HalvingRandomSearchCV]
sklearn/model_selection/tests/test_successive_halving.py::test_groups_support[HalvingRandomSearchCV]
sklearn/model_selection/tests/test_successive_halving.py::test_groups_support[HalvingRandomSearchCV]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/model_selection/_search.py:317: UserWarning: The total space of parameters 1 is smaller than n_iter=2. Running 1 iterations. For exhaustive searches, use GridSearchCV.
    warnings.warn(
sklearn/model_selection/tests/test_validation.py: 124 warnings
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/model_selection/_split.py:877: UserWarning: The groups parameter is ignored by StratifiedKFold
    warnings.warn(
sklearn/model_selection/tests/test_validation.py::test_cross_val_predict_decision_function_shape
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/model_selection/_validation.py:1380: 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/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/model_selection/_validation.py:1380: 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/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/model_selection/_split.py:805: UserWarning: The least populated class in y has only 1 members, which is less than n_splits=2.
    warnings.warn(
sklearn/model_selection/tests/test_validation.py::test_cross_val_predict_unbalanced
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/model_selection/_validation.py:1380: 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/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/model_selection/_validation.py:1380: 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/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/model_selection/_validation.py:960: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
  Traceback (most recent call last):
    File "/builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/model_selection/_validation.py", line 949, in _score
      scores = scorer(estimator, X_test, y_test, **score_params)
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
  TypeError: 'dict' object is not callable
  
    warnings.warn(
sklearn/neighbors/tests/test_lof.py::test_n_neighbors_attribute
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/neighbors/_lof.py:282: UserWarning: n_neighbors (500) is greater than the total number of samples (150). n_neighbors will be set to (n_samples - 1) for estimation.
    warnings.warn(
sklearn/neighbors/tests/test_lof.py::test_hasattr_prediction
sklearn/neighbors/tests/test_lof.py::test_hasattr_prediction
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/neighbors/_lof.py:282: UserWarning: n_neighbors (20) is greater than the total number of samples (3). n_neighbors will be set to (n_samples - 1) for estimation.
    warnings.warn(
sklearn/neighbors/tests/test_lof.py::test_novelty_true_common_tests[LocalOutlierFactor(novelty=True)-check_n_features_in_after_fitting]
sklearn/neighbors/tests/test_lof.py::test_novelty_true_common_tests[LocalOutlierFactor(novelty=True)-check_estimators_nan_inf]
sklearn/neighbors/tests/test_lof.py::test_novelty_true_common_tests[LocalOutlierFactor(novelty=True)-check_estimators_nan_inf]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/neighbors/_lof.py:282: UserWarning: n_neighbors (20) is greater than the total number of samples (10). n_neighbors will be set to (n_samples - 1) for estimation.
    warnings.warn(
sklearn/neighbors/tests/test_lof.py::test_novelty_true_common_tests[LocalOutlierFactor(novelty=True)-check_classifier_data_not_an_array]
sklearn/neighbors/tests/test_lof.py::test_novelty_true_common_tests[LocalOutlierFactor(novelty=True)-check_classifier_data_not_an_array]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/neighbors/_lof.py:282: UserWarning: n_neighbors (20) is greater than the total number of samples (12). n_neighbors will be set to (n_samples - 1) for estimation.
    warnings.warn(
sklearn/neighbors/tests/test_nca.py::test_callback
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/neighbors/_nca.py:333: ConvergenceWarning: [NeighborhoodComponentsAnalysis] NCA did not converge: STOP: TOTAL NO. of ITERATIONS REACHED LIMIT
    warn(
sklearn/neighbors/tests/test_nearest_centroid.py::test_features_zero_var
sklearn/neighbors/tests/test_nearest_centroid.py::test_error_zero_variances[array]
sklearn/neighbors/tests/test_nearest_centroid.py::test_error_zero_variances[csr_matrix]
sklearn/neighbors/tests/test_nearest_centroid.py::test_error_zero_variances[csr_array]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/neighbors/_nearest_centroid.py:244: UserWarning: self.within_class_std_dev_ has at least 1 zero standard deviation.Inputs within the same classes for at least 1 feature are identical.
    warnings.warn(
sklearn/neighbors/tests/test_neighbors.py: 185 warnings
sklearn/tests/test_common.py: 48 warnings
  /usr/lib64/python3.12/site-packages/numpy/core/numeric.py:407: RuntimeWarning: invalid value encountered in cast
    multiarray.copyto(res, fill_value, casting='unsafe')
sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_classifier_outlier_labeling[float64-_weight_func-ball_tree]
sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_classifier_outlier_labeling[float64-_weight_func-brute]
sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_classifier_outlier_labeling[float64-_weight_func-kd_tree]
sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_classifier_outlier_labeling[float64-_weight_func-auto]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/neighbors/_classification.py:874: RuntimeWarning: invalid value encountered in divide
    proba_k /= normalizer
sklearn/neighbors/tests/test_neighbors.py::test_neighbors_validate_parameters[csr_matrix-KNeighborsClassifier]
sklearn/neighbors/tests/test_neighbors.py::test_neighbors_validate_parameters[csr_matrix-RadiusNeighborsClassifier]
sklearn/neighbors/tests/test_neighbors.py::test_neighbors_validate_parameters[csr_matrix-KNeighborsRegressor]
sklearn/neighbors/tests/test_neighbors.py::test_neighbors_validate_parameters[csr_matrix-RadiusNeighborsRegressor]
sklearn/neighbors/tests/test_neighbors.py::test_neighbors_validate_parameters[csr_array-KNeighborsClassifier]
sklearn/neighbors/tests/test_neighbors.py::test_neighbors_validate_parameters[csr_array-RadiusNeighborsClassifier]
sklearn/neighbors/tests/test_neighbors.py::test_neighbors_validate_parameters[csr_array-KNeighborsRegressor]
sklearn/neighbors/tests/test_neighbors.py::test_neighbors_validate_parameters[csr_array-RadiusNeighborsRegressor]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/neighbors/_base.py:598: UserWarning: cannot use tree with sparse input: using brute force
    warnings.warn("cannot use tree with sparse input: using brute force")
sklearn/neighbors/tests/test_neighbors.py: 11 warnings
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/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/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/metrics/pairwise.py:2466: DataConversionWarning: Data was converted to boolean for metric yule
    warnings.warn(msg, DataConversionWarning)
sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_predict_proba
sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_predict_proba
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/neighbors/_classification.py:864: UserWarning: Outlier label -1 is not in training classes. All class probabilities of outliers will be assigned with 0.
    warnings.warn(
sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[float64-42-dice]
sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[float64-42-dice]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/metrics/pairwise.py:2466: DataConversionWarning: Data was converted to boolean for metric dice
    warnings.warn(msg, DataConversionWarning)
sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[float64-42-jaccard]
sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[float64-42-jaccard]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/metrics/pairwise.py:2466: DataConversionWarning: Data was converted to boolean for metric jaccard
    warnings.warn(msg, DataConversionWarning)
sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[float64-42-rogerstanimoto]
sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[float64-42-rogerstanimoto]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/metrics/pairwise.py:2466: DataConversionWarning: Data was converted to boolean for metric rogerstanimoto
    warnings.warn(msg, DataConversionWarning)
sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[float64-42-russellrao]
sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[float64-42-russellrao]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/metrics/pairwise.py:2466: DataConversionWarning: Data was converted to boolean for metric russellrao
    warnings.warn(msg, DataConversionWarning)
sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[float64-42-sokalmichener]
sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[float64-42-sokalmichener]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/metrics/pairwise.py:2466: DataConversionWarning: Data was converted to boolean for metric sokalmichener
    warnings.warn(msg, DataConversionWarning)
sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[float64-42-sokalsneath]
sklearn/neighbors/tests/test_neighbors.py::test_radius_neighbors_brute_backend[float64-42-sokalsneath]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/metrics/pairwise.py:2466: DataConversionWarning: Data was converted to boolean for metric sokalsneath
    warnings.warn(msg, DataConversionWarning)
sklearn/neighbors/tests/test_neighbors.py::test_nearest_neighbours_works_with_p_less_than_1
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/neighbors/_base.py:668: UserWarning: Mind that for 0 < p < 1, Minkowski metrics are not distance metrics. Continuing the execution with `algorithm='brute'`.
    warnings.warn(
sklearn/neighbors/tests/test_neighbors_pipeline.py::test_spectral_clustering
sklearn/neighbors/tests/test_neighbors_pipeline.py::test_spectral_embedding
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/manifold/_spectral_embedding.py:310: UserWarning: Array is not symmetric, and will be converted to symmetric by average with its transpose.
    adjacency = check_symmetric(adjacency)
sklearn/preprocessing/tests/test_common.py::test_missing_value_handling[est0-maxabs_scale-True-False-omit_kwargs0]
sklearn/preprocessing/tests/test_common.py::test_missing_value_handling[est0-maxabs_scale-True-False-omit_kwargs0]
sklearn/preprocessing/tests/test_common.py::test_missing_value_handling[est3-scale-True-False-omit_kwargs3]
sklearn/preprocessing/tests/test_common.py::test_missing_value_handling[est3-scale-True-False-omit_kwargs3]
sklearn/preprocessing/tests/test_common.py::test_missing_value_handling[est6-quantile_transform-True-False-omit_kwargs6]
sklearn/preprocessing/tests/test_common.py::test_missing_value_handling[est6-quantile_transform-True-False-omit_kwargs6]
sklearn/preprocessing/tests/test_common.py::test_missing_value_handling[est8-robust_scale-True-False-omit_kwargs8]
sklearn/preprocessing/tests/test_common.py::test_missing_value_handling[est8-robust_scale-True-False-omit_kwargs8]
  /usr/lib64/python3.12/site-packages/scipy/sparse/_coo.py:437: SparseEfficiencyWarning: Constructing a DIA matrix with 115 diagonals is inefficient
    warn("Constructing a DIA matrix with %d diagonals "
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/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/utils/extmath.py:1101: RuntimeWarning: invalid value encountered in divide
    updated_mean = (last_sum + new_sum) / updated_sample_count
sklearn/preprocessing/tests/test_data.py::test_standard_scaler_sample_weight[array-Xw2-X2-sample_weight2]
sklearn/preprocessing/tests/test_data.py::test_standard_scaler_sample_weight[array-Xw2-X2-sample_weight2]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/utils/extmath.py:1106: RuntimeWarning: invalid value encountered in divide
    T = new_sum / new_sample_count
sklearn/preprocessing/tests/test_data.py::test_standard_scaler_sample_weight[array-Xw2-X2-sample_weight2]
sklearn/preprocessing/tests/test_data.py::test_standard_scaler_sample_weight[array-Xw2-X2-sample_weight2]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/utils/extmath.py:1126: RuntimeWarning: invalid value encountered in divide
    new_unnormalized_variance -= correction**2 / new_sample_count
sklearn/preprocessing/tests/test_data.py::test_quantile_transform_and_inverse
sklearn/preprocessing/tests/test_data.py::test_one_to_one_features[QuantileTransformer]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/preprocessing/_data.py:2829: 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/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/preprocessing/_data.py:2829: 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/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/preprocessing/_data.py:2829: 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/python3.12/site-packages/numpy/lib/nanfunctions.py:1563: RuntimeWarning: All-NaN slice encountered
    return function_base._ureduce(a,
sklearn/preprocessing/tests/test_discretization.py::test_fit_transform[quantile-expected5-sample_weight5]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/preprocessing/_discretization.py:306: UserWarning: Bins whose width are too small (i.e., <= 1e-8) in feature 0 are removed. Consider decreasing the number of bins.
    warnings.warn(
sklearn/preprocessing/tests/test_discretization.py::test_fit_transform[quantile-expected5-sample_weight5]
sklearn/preprocessing/tests/test_discretization.py::test_fit_transform_n_bins_array[quantile-expected4-sample_weight4]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/preprocessing/_discretization.py:306: UserWarning: Bins whose width are too small (i.e., <= 1e-8) in feature 1 are removed. Consider decreasing the number of bins.
    warnings.warn(
sklearn/preprocessing/tests/test_discretization.py::test_fit_transform[quantile-expected5-sample_weight5]
sklearn/preprocessing/tests/test_discretization.py::test_fit_transform_n_bins_array[quantile-expected4-sample_weight4]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/preprocessing/_discretization.py:306: UserWarning: Bins whose width are too small (i.e., <= 1e-8) in feature 2 are removed. Consider decreasing the number of bins.
    warnings.warn(
sklearn/preprocessing/tests/test_discretization.py::test_fit_transform[quantile-expected5-sample_weight5]
sklearn/preprocessing/tests/test_discretization.py::test_fit_transform_n_bins_array[quantile-expected4-sample_weight4]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/preprocessing/_discretization.py:306: UserWarning: Bins whose width are too small (i.e., <= 1e-8) in feature 3 are removed. Consider decreasing the number of bins.
    warnings.warn(
sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_handle_unknown[warn]
sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_inverse[None-False-warn]
sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_inverse[None-True-warn]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/preprocessing/_encoders.py:246: UserWarning: Found unknown categories in columns [0, 1] during transform. These unknown categories will be encoded as all zeros
    warnings.warn(
sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_handle_unknown_strings[warn]
sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_specified_categories[object-warn]
sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_specified_categories[numeric-warn]
sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_specified_categories[object-string-warn]
sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_specified_categories[object-string-none-warn]
sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_specified_categories[object-string-nan-warn]
sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_specified_categories[object-None-and-nan-warn]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/preprocessing/_encoders.py:246: UserWarning: Found unknown categories in columns [0] during transform. These unknown categories will be encoded as all zeros
    warnings.warn(
sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_inverse[None-False-warn]
sklearn/preprocessing/tests/test_encoders.py::test_one_hot_encoder_inverse[None-True-warn]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/preprocessing/_encoders.py:246: UserWarning: Found unknown categories in columns [1] during transform. These unknown categories will be encoded as all zeros
    warnings.warn(
sklearn/svm/tests/test_svm.py::test_svc_nonfinite_params
  /usr/lib64/python3.12/site-packages/numpy/core/_methods.py:152: RuntimeWarning: overflow encountered in reduce
    arrmean = umr_sum(arr, axis, dtype, keepdims=True, where=where)
sklearn/tests/test_calibration.py: 19 warnings
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/calibration.py:333: UserWarning: The `cv='prefit'` option is deprecated in 1.6 and will be removed in 1.8. You can use CalibratedClassifierCV(FrozenEstimator(estimator)) instead.
    warnings.warn(
sklearn/tests/test_calibration.py::test_calibration_prefit[csr_matrix]
sklearn/tests/test_calibration.py::test_calibration_prefit[csr_matrix]
sklearn/tests/test_calibration.py::test_calibration_prefit[csr_matrix]
sklearn/tests/test_calibration.py::test_calibration_prefit[csr_matrix]
sklearn/tests/test_calibration.py::test_calibration_prefit[csr_array]
sklearn/tests/test_calibration.py::test_calibration_prefit[csr_array]
sklearn/tests/test_calibration.py::test_calibration_prefit[csr_array]
sklearn/tests/test_calibration.py::test_calibration_prefit[csr_array]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/calibration.py:378: 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/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/model_selection/_validation.py:1380: 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[ColumnTransformer(transformers=[('trans1',StandardScaler(),[0,1])])-check_estimator_sparse_array]
  /usr/lib64/python3.12/site-packages/scipy/sparse/_dia.py:160: DeprecationWarning: `getformat` is deprecated and will be removed in v1.13.0; use `X.format` instead.
    format = _formats[self.getformat()][1]
sklearn/tests/test_common.py::test_estimators[GaussianNB()-check_classifiers_one_label_sample_weights]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/naive_bayes.py:512: RuntimeWarning: divide by zero encountered in log
    jointi = np.log(self.class_prior_[i])
sklearn/tests/test_common.py: 12 warnings
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/decomposition/_pca.py:586: RuntimeWarning: invalid value encountered in divide
    explained_variance_ = (S**2) / (n_samples - 1)
sklearn/tests/test_common.py: 23 warnings
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/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/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/cluster/_bicluster.py:343: 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/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/decomposition/_fastica.py:127: ConvergenceWarning: FastICA did not converge. Consider increasing tolerance or the maximum number of iterations.
    warnings.warn(
sklearn/tests/test_common.py::test_transformers_get_feature_names_out[Isomap()]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/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/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/decomposition/_nmf.py:2328: 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/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/kernel_approximation.py:1020: UserWarning: n_components > n_samples. This is not possible.
  n_components was set to n_samples, which results in inefficient evaluation of the full kernel.
    warnings.warn(
sklearn/tests/test_common.py::test_transformers_get_feature_names_out[QuantileTransformer()]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/preprocessing/_data.py:2829: 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/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/preprocessing/_data.py:2829: 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/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/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/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.013600403306909925, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.036651160821271844, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.040332571379124715, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.042338287573556954, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04399714422716983, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0453915031566865, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04655165148310658, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.047504257032187525, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04827386488005203, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04888295807548815, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.049352014011198264, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04969958357786908, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.049942387248371745, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05009542273018042, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05017207971273052, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.050184258042804686, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.050142486379371576, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05005603901085465, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04993304906687257, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0497806168204562, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04960491216846208, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.049411270700737475, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04920428302831681, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.048987877252805845, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0487653946186839, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04853965851587816, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.048313037091020306, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.048087499789268406, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04786466819175672, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04764586153763872, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04743213733014073, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.047224327427052515, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.047023070006474654, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04682883778475144, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04664196284639388, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04646265842205821, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04629103793020306, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.046127131574039026, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.045970900760501365, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.045822250586212476, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.045681040612727486, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04554709413274338, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04542020610754349, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04530014993866871, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04518668321907171, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04507955259442298, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0449784978477723, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04488325531225712, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.044793560699531554, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.044709151424363824, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0446297684981829, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.044555158049043087, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04448507252145362, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.044419271609719146, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.044357522955451145, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04429960265633781, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04424529560572665, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04419439570006034, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0441467059268561, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04410203836854265, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04406021411695349, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0440210631345721, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043984424066849215, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043950144010125314, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043918078250790415, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04388808998782423, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04386005003603799, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043833836518743396, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04380933454864788, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04378643592721687, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04376503881793781, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043745047445050034, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043726371782611295, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043708927262954944, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0436926344871722, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043677418942337454, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043663210733505764, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04364994432610558, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043637558298968315, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04362599509678233, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04361520082320425, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04360512500318947, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04359572039200543, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043586942774879844, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04357875078088114, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043571105723977155, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[ElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04356397140860224, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.02242199605876749, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04823630960414249, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05152386498556183, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0525639656101049, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.053171065529816985, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05349220795529419, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05358147192694673, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05348196852555276, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05323022641040609, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05285720874948652, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05238909528273439, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05184795600124659, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.051252333611017775, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05061774695153787, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04995712587912493, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0492811867413252, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.048598756367653095, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04791705145464675, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.047241919318864234, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04657804520030595, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.045929130613053815, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.045298046647445744, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.044686965607589, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04409747392098495, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043530668866111455, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04298724132524967, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04246754647539319, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04197166407426778, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04149944977881859, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04105057873805151, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04062458253692114, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04022088042300709, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03983880562211084, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.039477627438117224, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03913656974014401, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03881482635758715, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.038511573829644874, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0382259819009505, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.037957222091897336, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03770447463735138, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.037466934035542465, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03724381342723859, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03703434797964178, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0368377974426366, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03665344800302961, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0364806135579272, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03631863650389988, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03616688812667235, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03602476866506521, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.035891707106870285, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.035767160771563056, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03565061472385622, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03554158105373517, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0354395980547082, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03534422932693815, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03525506283249058, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.035171709906975934, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03509380425845876, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.035021000956966475, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03495297542924902, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034889422462143216, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03483005522514304, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03477460431719237, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034722816839440895, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034674455497992085, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034629297740224274, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034587134925132546, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03454777152506949, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03451102436798692, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03447672191141038, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03444470354961027, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03441481895880116, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03438692747807437, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034360897515220756, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03433660599073818, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034313937808647665, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03429278536300018, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034273048064186185, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03425463189769573, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03423744900852199, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03422141730887773, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03420646010485484, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03419250576698829, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03417948737396159, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03416734244074604, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03415601261090728, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[LassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:681: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03414544339307923, tolerance: 0.006864064021546925
    model = cd_fast.enet_coordinate_descent_gram(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.013600403306909925, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.036651160821271844, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04033257137915314, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.042338287573571165, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043997144227219565, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04539150315670781, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04655165148310658, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.047504257032201735, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.048273864880059136, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04888295807553078, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0493520140112409, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04969958357786197, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.049942387248385955, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05009542273018752, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05017207971273052, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05018425804287574, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.050142486379435525, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05005603901087596, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04993304906687257, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0497806168204491, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04960491216854024, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.049411270700801424, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04920428302828128, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.048987877252898215, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.048765394618783375, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0485396585159279, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.048313037091070044, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.048087499789318144, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04786466819189883, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0476458615377382, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04743213733020468, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04722432742718041, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04702307000663808, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.046828837784808286, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04664196284659994, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04646265842215058, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04629103793035938, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04612713157421666, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04597090076074295, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04582225058632616, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.045681040612898016, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04554709413292102, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04542020610788455, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04530014993876108, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04518668321910013, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04507955259470009, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.044978497848312315, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.044883255312576864, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04479356069967366, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0447091514244633, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04462976849834632, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04455515804938415, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04448507252204337, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04441927160976178, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0443575229557851, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0442996026569773, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.044245295606984314, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.044194395700564826, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0441467059281635, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0441020383689974, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0440602141174935, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04402106313560239, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043984424067581074, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043950144010324266, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04391807825064831, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04388808998895399, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043860050037643816, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04383383651954631, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04380933454944369, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043786435928282685, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043765038819714164, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04374504744595953, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04372637178290262, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04370892726495157, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04369263448888461, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04367741894466093, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043663210736688995, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04364994432971514, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043637558302030754, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04362599510036347, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04361520082751014, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043605125007005086, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0435957203964179, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04358694277792807, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04357875078810736, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04357110572883016, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskElasticNetCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043563971414378955, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.02242199605875328, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04823630960414249, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05152386498557604, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05256396561013332, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05317106552984541, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05349220795532972, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05358147192699647, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.053481968525559864, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0532302264104203, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05285720874952915, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05238909528276281, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.05184795600128922, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0512523336110533, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.050617746951559184, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.049957125879132036, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04928118674140336, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04859875636768862, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04791705145461833, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.047241919318942394, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0465780452003699, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.045929130613131974, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04529804664750969, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04468696560763874, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04409747392100627, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.043530668866125666, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04298724132534204, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04246754647545714, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04197166407434594, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.041499449778896746, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.041050578738143884, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.040624582537006404, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.04022088042307814, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.039838805622196105, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03947762743818117, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.039136569740293226, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03881482635762268, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03851157382979409, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03822598190101445, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03795722209215313, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03770447463751481, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.037466934035975896, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.037243813427281225, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.037034347979819415, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.036837797442984765, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03665344800349857, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03648061355814036, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03631863650404199, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03616688812693525, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.036024768665413376, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03589170710706213, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03576716077191122, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.035650614724410445, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03554158105386307, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03543959805451635, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03534422932752079, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.035255062833243755, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03517170990757279, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03509380425897035, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03502100095751359, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03495297542988851, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034889422463386666, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034830055225761214, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0347746043178887, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034722816840094595, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03467445549925685, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03462929774072876, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034587134926439944, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034547771526263205, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034511024370075916, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03447672191181539, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03444470354936868, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03441481896059173, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03438692747975125, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03436089751581761, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03433660599277033, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03431393781058034, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.0342927853656434, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03427304806616149, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03425463190018263, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03423744901132153, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034221417310149604, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034206460107583325, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03419250576737909, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03417948737629217, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.034167342443303994, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03415601261124124, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[MultiTaskLassoCV(cv=3,max_iter=5)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_coordinate_descent.py:673: ConvergenceWarning: Objective did not converge. You might want to increase the number of iterations. Duality gap: 0.03414544340136416, tolerance: 0.006864064021546926
    model = cd_fast.enet_coordinate_descent_multi_task(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[QuantileTransformer()]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/preprocessing/_data.py:2829: UserWarning: n_quantiles (1000) is greater than the total number of samples (100). n_quantiles is set to n_samples.
    warnings.warn(
sklearn/tests/test_common.py::test_check_inplace_ensure_writeable[TheilSenRegressor(max_iter=5,max_subpopulation=100)]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/linear_model/_theil_sen.py:128: ConvergenceWarning: Maximum number of iterations 5 reached in spatial median for TheilSen regressor.
    warnings.warn(
sklearn/tests/test_config.py::test_config_threadsafe_joblib[multiprocessing]
sklearn/tests/test_config.py::test_config_threadsafe_joblib[multiprocessing]
sklearn/utils/tests/test_parallel.py::test_configuration_passes_through_to_joblib[multiprocessing-2]
sklearn/utils/tests/test_parallel.py::test_configuration_passes_through_to_joblib[multiprocessing-2]
  /usr/lib64/python3.12/multiprocessing/popen_fork.py:66: DeprecationWarning: This process (pid=13725) is multi-threaded, use of fork() may lead to deadlocks in the child.
    self.pid = os.fork()
sklearn/tests/test_discriminant_analysis.py::test_qda_regularization
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/discriminant_analysis.py:1052: RuntimeWarning: divide by zero encountered in power
    X2 = np.dot(Xm, R * (S ** (-0.5)))
sklearn/tests/test_discriminant_analysis.py::test_qda_regularization
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/discriminant_analysis.py:1052: RuntimeWarning: invalid value encountered in multiply
    X2 = np.dot(Xm, R * (S ** (-0.5)))
sklearn/tests/test_discriminant_analysis.py::test_qda_regularization
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/discriminant_analysis.py:1055: RuntimeWarning: divide by zero encountered in log
    u = np.asarray([np.sum(np.log(s)) for s in self.scalings_])
sklearn/tests/test_metaestimators.py: 1 warning
sklearn/tests/test_metaestimators_metadata_routing.py: 30 warnings
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/semi_supervised/_self_training.py:288: 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/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/model_selection/_search.py:317: UserWarning: The total space of parameters 2 is smaller than n_iter=3. Running 2 iterations. For exhaustive searches, use GridSearchCV.
    warnings.warn(
sklearn/tests/test_metaestimators_metadata_routing.py::test_setting_request_on_sub_estimator_removes_error[HalvingRandomSearchCV]
sklearn/tests/test_metaestimators_metadata_routing.py::test_setting_request_on_sub_estimator_removes_error[HalvingRandomSearchCV]
sklearn/tests/test_metaestimators_metadata_routing.py::test_non_consuming_estimator_works[HalvingRandomSearchCV]
sklearn/tests/test_metaestimators_metadata_routing.py::test_metadata_is_routed_correctly_to_scorer[HalvingRandomSearchCV]
sklearn/tests/test_metaestimators_metadata_routing.py::test_metadata_is_routed_correctly_to_scorer[HalvingRandomSearchCV]
sklearn/tests/test_metaestimators_metadata_routing.py::test_metadata_is_routed_correctly_to_splitter[HalvingRandomSearchCV]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/model_selection/_search.py:317: UserWarning: The total space of parameters 2 is smaller than n_iter=8. Running 2 iterations. For exhaustive searches, use GridSearchCV.
    warnings.warn(
sklearn/tests/test_metaestimators_metadata_routing.py::test_metadata_routed_to_group_splitter[HalvingRandomSearchCV]
sklearn/tests/test_metaestimators_metadata_routing.py::test_metadata_routed_to_group_splitter[HalvingRandomSearchCV]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/model_selection/_search.py:317: UserWarning: The total space of parameters 2 is smaller than n_iter=4. Running 2 iterations. For exhaustive searches, use GridSearchCV.
    warnings.warn(
sklearn/tests/test_metaestimators_metadata_routing.py::test_metadata_routed_to_group_splitter[GraphicalLassoCV]
sklearn/tests/test_metaestimators_metadata_routing.py::test_metadata_routed_to_group_splitter[GraphicalLassoCV]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/model_selection/_validation.py:960: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
  Traceback (most recent call last):
    File "/builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/model_selection/_validation.py", line 949, in _score
      scores = scorer(estimator, X_test, y_test, **score_params)
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    File "/builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/metrics/_scorer.py", line 288, in __call__
      return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    File "/builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/metrics/_scorer.py", line 379, in _score
      response_method = _check_response_method(estimator, self._response_method)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    File "/builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/utils/validation.py", line 2283, in _check_response_method
      raise AttributeError(
  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/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/model_selection/_validation.py:960: UserWarning: Scoring failed. The score on this train-test partition for these parameters will be set to nan. Details: 
  Traceback (most recent call last):
    File "/builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/model_selection/_validation.py", line 949, in _score
      scores = scorer(estimator, X_test, y_test, **score_params)
               ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    File "/builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/metrics/_scorer.py", line 288, in __call__
      return self._score(partial(_cached_call, None), estimator, X, y_true, **_kwargs)
             ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    File "/builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/metrics/_scorer.py", line 379, in _score
      response_method = _check_response_method(estimator, self._response_method)
                        ^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^^
    File "/builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/utils/validation.py", line 2283, in _check_response_method
      raise AttributeError(
  AttributeError: SequentialFeatureSelector has none of the following attributes: predict.
  
    warnings.warn(
sklearn/tests/test_multiclass.py::test_constant_int_target[ones]
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/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/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/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/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/naive_bayes.py:623: UserWarning: alpha too small will result in numeric errors, setting alpha = 1.0e-10. Use `force_alpha=True` to keep alpha unchanged.
    warnings.warn(
sklearn/tree/tests/test_tree.py: 14 warnings
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/tree/_classes.py:1093: RuntimeWarning: divide by zero encountered in log
    proba[k] = np.log(proba[k])
sklearn/tree/tests/test_tree.py::test_big_input
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/utils/_array_api.py:839: 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/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/tree/tests/test_tree.py:1795: RuntimeWarning: overflow encountered in cast
    data = np.nan_to_num(data.astype("float32"))
sklearn/tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[None]
sklearn/tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[None]
sklearn/tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[csc_matrix]
sklearn/tree/tests/test_tree.py::test_empty_leaf_infinite_threshold[csc_array]
  /usr/lib64/python3.12/site-packages/numpy/core/fromnumeric.py:88: RuntimeWarning: invalid value encountered in reduce
    return ufunc.reduce(obj, axis, dtype, out, **passkwargs)
sklearn/utils/tests/test_estimator_checks.py::test_check_estimator
sklearn/utils/tests/test_estimator_checks.py::test_check_estimator
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/utils/estimator_checks.py:872: 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/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/utils/estimator_checks.py:872: 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/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/utils/estimator_checks.py:872: 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/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/utils/estimator_checks.py:872: 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/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/utils/estimator_checks.py:872: 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
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/utils/validation.py:1014: 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/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/utils/estimator_checks.py:872: 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/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/utils/estimator_checks.py:872: 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/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/utils/estimator_checks.py:872: 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/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/utils/estimator_checks.py:872: 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/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/utils/estimator_checks.py:872: 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/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/utils/estimator_checks.py:872: 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/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/utils/estimator_checks.py:872: 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/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/utils/estimator_checks.py:872: SkipTestWarning: Skipping check check_array_api_input for PCA because it raised SkipTest: array_api_compat is not installed: not checking array_api input
    warnings.warn(
sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_clones
sklearn/utils/tests/test_estimator_checks.py::test_check_estimator_clones
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/utils/estimator_checks.py:872: 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/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/utils/estimator_checks.py:872: 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/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/utils/estimator_checks.py:872: 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/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/utils/estimator_checks.py:872: 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/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/utils/estimator_checks.py:872: 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/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/utils/estimator_checks.py:872: 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/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/utils/estimator_checks.py:872: 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/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/utils/estimator_checks.py:128: UserWarning: Estimator MinimalTransformer does not inherit from `sklearn.base.BaseEstimator`. This might lead to unexpected behavior, or even errors when collecting tests.
    warnings.warn(
sklearn/utils/tests/test_estimator_checks.py::test_non_deterministic_estimator_skip_tests
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/utils/estimator_checks.py:128: UserWarning: Estimator MyEstimator does not inherit from `sklearn.base.BaseEstimator`. This might lead to unexpected behavior, or even errors when collecting tests.
    warnings.warn(
sklearn/utils/tests/test_estimator_checks.py::test_non_deterministic_estimator_skip_tests
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/utils/estimator_checks.py:128: UserWarning: Estimator MinimalRegressor does not inherit from `sklearn.base.BaseEstimator`. This might lead to unexpected behavior, or even errors when collecting tests.
    warnings.warn(
sklearn/utils/tests/test_estimator_checks.py::test_non_deterministic_estimator_skip_tests
sklearn/utils/tests/test_estimator_checks.py::test_yield_all_checks_legacy
  /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/lib64/python3.12/site-packages/sklearn/utils/estimator_checks.py:128: UserWarning: Estimator MinimalClassifier does not inherit from `sklearn.base.BaseEstimator`. This might lead to unexpected behavior, or even errors when collecting tests.
    warnings.warn(
-- Docs: https://docs.pytest.org/en/stable/how-to/capture-warnings.html
= 32009 passed, 5541 skipped, 56 deselected, 151 xfailed, 75 xpassed, 3409 warnings in 561.93s (0:09:21) =
 This problem is unconstrained.
 This problem is unconstrained.
RUNNING THE L-BFGS-B CODE
           * * *
Machine precision = 2.220D-16
 N =            2     M =           10
           * * *
Tit   = total number of iterations
Tnf   = total number of function evaluations
Tnint = total number of segments explored during Cauchy searches
Skip  = number of BFGS updates skipped
Nact  = number of active bounds at final generalized Cauchy point
Projg = norm of the final projected gradient
F     = final function value
           * * *
   N    Tit     Tnf  Tnint  Skip  Nact     Projg        F
    2      5      7      1     0     0   5.264D-05  -3.750D-01
CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL            
RUNNING THE L-BFGS-B CODE
           * * *
Machine precision = 2.220D-16
 N =            2     M =           10
At X0         0 variables are exactly at the bounds
At iterate    0    f= -2.66378D-01    |proj g|=  1.16272D-01
At iterate    1    f= -3.72773D-01    |proj g|=  3.44540D-02
At iterate    2    f= -3.74743D-01    |proj g|=  1.18567D-02
At iterate    3    f= -3.74922D-01    |proj g|=  5.40689D-03
At iterate    4    f= -3.75000D-01    |proj g|=  4.08881D-04
At iterate    5    f= -3.75000D-01    |proj g|=  5.26385D-05
           * * *
Tit   = total number of iterations
Tnf   = total number of function evaluations
Tnint = total number of segments explored during Cauchy searches
Skip  = number of BFGS updates skipped
Nact  = number of active bounds at final generalized Cauchy point
Projg = norm of the final projected gradient
F     = final function value
           * * *
   N    Tit     Tnf  Tnint  Skip  Nact     Projg        F
    2      5      7      1     0     0   5.264D-05  -3.750D-01
  F = -0.37499999475400758     
CONVERGENCE: NORM_OF_PROJECTED_GRADIENT_<=_PGTOL            
+ popd
~/build/BUILD/scikit_learn-1.6.1
+ RPM_EC=0
++ jobs -p
+ exit 0
Processing files: python3-scikit-learn-1.6.1-3.el10_0.s390x
Executing(%doc): /bin/sh -e /var/tmp/rpm-tmp.QeMvF6
+ umask 022
+ cd /builddir/build/BUILD
+ cd scikit_learn-1.6.1
+ DOCDIR=/builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/share/doc/python3-scikit-learn
+ export LC_ALL=
+ LC_ALL=
+ export DOCDIR
+ /usr/bin/mkdir -p /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/share/doc/python3-scikit-learn
+ cp -pr /builddir/build/BUILD/scikit_learn-1.6.1/examples /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/share/doc/python3-scikit-learn
+ RPM_EC=0
++ jobs -p
+ exit 0
Executing(%license): /bin/sh -e /var/tmp/rpm-tmp.ARyXC6
+ umask 022
+ cd /builddir/build/BUILD
+ cd scikit_learn-1.6.1
+ LICENSEDIR=/builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/share/licenses/python3-scikit-learn
+ export LC_ALL=
+ LC_ALL=
+ export LICENSEDIR
+ /usr/bin/mkdir -p /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/share/licenses/python3-scikit-learn
+ cp -pr /builddir/build/BUILD/scikit_learn-1.6.1/COPYING /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/share/licenses/python3-scikit-learn
+ cp -pr /builddir/build/BUILD/scikit_learn-1.6.1/sklearn/svm/src/liblinear/COPYRIGHT /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x/usr/share/licenses/python3-scikit-learn
+ RPM_EC=0
++ jobs -p
+ exit 0
Provides: python-scikit-learn = 1.6.1-3.el10_0 python-sklearn = 1.6.1-3.el10_0 python3-scikit-learn = 1.6.1-3.el10_0 python3-scikit-learn(s390-64) = 1.6.1-3.el10_0 python3.12-scikit-learn = 1.6.1-3.el10_0 python3.12-sklearn = 1.6.1-3.el10_0 python3.12dist(scikit-learn) = 1.6.1 python3dist(scikit-learn) = 1.6.1
Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PartialHardlinkSets) <= 4.0.4-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1
Requires: libc.so.6()(64bit) libc.so.6(GLIBC_2.2)(64bit) libc.so.6(GLIBC_2.3.4)(64bit) libc.so.6(GLIBC_2.32)(64bit) libc.so.6(GLIBC_2.4)(64bit) libgcc_s.so.1()(64bit) libgcc_s.so.1(GCC_3.0)(64bit) libgcc_s.so.1(GCC_3.3.1)(64bit) libgomp.so.1()(64bit) libgomp.so.1(GOMP_1.0)(64bit) libgomp.so.1(GOMP_4.0)(64bit) libgomp.so.1(OMP_1.0)(64bit) libgomp.so.1(OMP_3.0)(64bit) libm.so.6()(64bit) libm.so.6(GLIBC_2.2)(64bit) libm.so.6(GLIBC_2.23)(64bit) libm.so.6(GLIBC_2.27)(64bit) libm.so.6(GLIBC_2.29)(64bit) libstdc++.so.6()(64bit) libstdc++.so.6(CXXABI_1.3)(64bit) libstdc++.so.6(CXXABI_1.3.8)(64bit) libstdc++.so.6(CXXABI_1.3.9)(64bit) libstdc++.so.6(GLIBCXX_3.4)(64bit) libstdc++.so.6(GLIBCXX_3.4.21)(64bit) libstdc++.so.6(GLIBCXX_3.4.29)(64bit) libstdc++.so.6(GLIBCXX_3.4.30)(64bit) python(abi) = 3.12 python3.12dist(joblib) >= 1.2 python3.12dist(numpy) >= 1.19.5 python3.12dist(scipy) >= 1.6 python3.12dist(threadpoolctl) >= 3.1 rtld(GNU_HASH)
Obsoletes: python-sklearn < 1.6.1-3.el10_0 python3-scikit_learn < 1.5.2-2 python3.12-scikit-learn < 1.6.1-3.el10_0
Processing files: python-scikit-learn-debugsource-1.6.1-3.el10_0.s390x
Provides: python-scikit-learn-debugsource = 1.6.1-3.el10_0 python-scikit-learn-debugsource(s390-64) = 1.6.1-3.el10_0
Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1
Processing files: python3-scikit-learn-debuginfo-1.6.1-3.el10_0.s390x
Provides: debuginfo(build-id) = 055ce526eaf8e338a624e0decca8ead445c1844d debuginfo(build-id) = 080c9bbf7d79a7ceeff37037e197d84a401a9596 debuginfo(build-id) = 096d9493c86b3867b09618daffdf4424d853f507 debuginfo(build-id) = 09c1dfa7281e31fdd85428e8667990366027a1f7 debuginfo(build-id) = 1df144d642ebe245d3d7df0f041323d5053d39e9 debuginfo(build-id) = 1e2bb9bb4fb50e2a43a497e2d77566f9325ab745 debuginfo(build-id) = 20c20cc33230c665ef34f969cb87a1a1881af016 debuginfo(build-id) = 214014a99d53698aca84374722a57b19bd8f13ee debuginfo(build-id) = 2fe7437e73297ca3805e22762164d97cb8393549 debuginfo(build-id) = 37daddd99b8f76e4c8b99b6345b1a7d3a0156e65 debuginfo(build-id) = 3c705b22ab87506c84c02118ee01abc5ec9449c8 debuginfo(build-id) = 40eac7c5cc14cf28146ce002615cbbd76cb1321d debuginfo(build-id) = 41a422705318e1161b84feb3685f6a0940163a98 debuginfo(build-id) = 4232d128e146318ea796239cb0d84850d84d961e debuginfo(build-id) = 43a4521f3cfeb6d6e207b5bac4f9ce9f085b35c2 debuginfo(build-id) = 499034d54e184f771afc938dc79de48f32fa207d debuginfo(build-id) = 4f37232d7265c29103c6ce64614a98c2bbd5c82c debuginfo(build-id) = 52abba90d1095604b32e3f0af581a283fccaf834 debuginfo(build-id) = 55158d5da31568217df4f6da4e2ce8c7dca0c24e debuginfo(build-id) = 5a3dd83f7a401135e281194d3af2a8c827b04d13 debuginfo(build-id) = 6102ffd7c50b6336dd209828f25837c92136b99e debuginfo(build-id) = 622cd36fd1d83916709ad596852fb4cbc6ff0dfa debuginfo(build-id) = 624c716422ecb0b6e9f5a0e8db338a9bc059fb1b debuginfo(build-id) = 6486fbb361ffec9b8f4d47ae7f2d4e52322dcdfb debuginfo(build-id) = 654c32a3fff2a40e33614e5e278a3e39b73981c5 debuginfo(build-id) = 694992aed5162cf5ac617a8132681893ba53c867 debuginfo(build-id) = 6a4fd6978dd965ea3bf487d0f6effb59be68060a debuginfo(build-id) = 6bff99711589860b7605aef5985842f3e37425fa debuginfo(build-id) = 77d1dfc7a49b620e893799f219b84a45d3e3c85e debuginfo(build-id) = 789d6d19e6f394068fe0a70ddffda5b680523591 debuginfo(build-id) = 79162221c2c23cb7fbe591a43637107e85a37d9b debuginfo(build-id) = 7ac4d5104d86aa1e2756641b0395b0174ad171a6 debuginfo(build-id) = 7d3f069bee10110ac6da9e1f80c23ac028d8ca39 debuginfo(build-id) = 822fa234c3c8ea15863e6aad7c4a93ffb68f1954 debuginfo(build-id) = 8278477097948c28e8f0394d65453836ba023f49 debuginfo(build-id) = 8e227a0c7e53306e3e18e95eab5f8d58659e72dc debuginfo(build-id) = 909a0eecf5ae3fdf859d25dc3155775a41101399 debuginfo(build-id) = 92be7a071d7881ac4f0ca56eca244b46b4a3db11 debuginfo(build-id) = 9d86d3227ed1c89355e53d5009590ba5d3baa92a debuginfo(build-id) = a7c96c7f2720a12753b4f8b5f600a9a0d175afec debuginfo(build-id) = b25ff99f47529473f11b59b7765b1af0f824b6f5 debuginfo(build-id) = b52b332c07284c67c8292b6b75f0b21cdf11a0b4 debuginfo(build-id) = b832bc6c3784c46fff3e4baa480b3bc894ccdaef debuginfo(build-id) = bb532d88e559a853117e4eac8ad512ad4128e7fd debuginfo(build-id) = bf1dc5ca3d52a37e88b80e8c83989922824c3943 debuginfo(build-id) = c39e4e5dce03f2e63295b4815d68cdf0a037d3be debuginfo(build-id) = c56097647a9ab9d148eac87c07a0066861e31620 debuginfo(build-id) = c92a1af913418a916303b1deb1bc4cf31ba95838 debuginfo(build-id) = ccf6fe573d1eda0e28e3f0df00177f65f4483bc0 debuginfo(build-id) = ce46576fbcf60730734c682d8388acc26265ca72 debuginfo(build-id) = cf31a2244809c43e060e42ca78391c066edadff3 debuginfo(build-id) = d0da721c5c393c8b6ce2e73304f8fff9332608f0 debuginfo(build-id) = daad3dad547045f2347e67dc6e7df25afc53d080 debuginfo(build-id) = db66743498e33f5d9ff7c1224fc7d5030dd329e0 debuginfo(build-id) = db8cc7b280090111edb317a5cfd3048f72830d03 debuginfo(build-id) = e678a0d5164cfb3d61ab2c5f899bfe70058a3fe2 debuginfo(build-id) = e6c890bd2c0fd75980c673962a1615ef16a2a5a0 debuginfo(build-id) = e6e8694a3537cb01277884df33e589a1aa58459e debuginfo(build-id) = e93f2884d6c6a4adaa52f4986926c31a60e7410c debuginfo(build-id) = eafb040f294700ae9dbc888b59c2e7482ffd34ee debuginfo(build-id) = ecddc14a6e24eb8d63ff9d05dd19ea47f98643ad debuginfo(build-id) = ed1410595fb3142a9a802c9fe69033a63fe3ba7c debuginfo(build-id) = eda18c31d58c21322db4d1e94d9ba99e47c4df05 debuginfo(build-id) = ee958082991e82fa7eee564f496951da5dd6cda1 debuginfo(build-id) = f04a656d90280d5625d4c21a16c2fbeb1b4c5285 debuginfo(build-id) = f09db858b0ff8f23806419b870a95e46b9ac2551 debuginfo(build-id) = f3e3d0997b3546bdabf76af9ffe15579b582dd8d debuginfo(build-id) = fcb549dfd96777e1324d0e7d070106a66c3d1e65 python-scikit-learn-debuginfo = 1.6.1-3.el10_0 python3-scikit-learn-debuginfo = 1.6.1-3.el10_0 python3-scikit-learn-debuginfo(s390-64) = 1.6.1-3.el10_0 python3.12-scikit-learn-debuginfo = 1.6.1-3.el10_0
Requires(rpmlib): rpmlib(CompressedFileNames) <= 3.0.4-1 rpmlib(FileDigests) <= 4.6.0-1 rpmlib(PayloadFilesHavePrefix) <= 4.0-1
Recommends: python-scikit-learn-debugsource(s390-64) = 1.6.1-3.el10_0
Checking for unpackaged file(s): /usr/lib/rpm/check-files /builddir/build/BUILDROOT/python-scikit-learn-1.6.1-3.el10_0.s390x
Wrote: /builddir/build/SRPMS/python-scikit-learn-1.6.1-3.el10_0.src.rpm
Wrote: /builddir/build/RPMS/python3-scikit-learn-1.6.1-3.el10_0.s390x.rpm
Wrote: /builddir/build/RPMS/python-scikit-learn-debugsource-1.6.1-3.el10_0.s390x.rpm
Wrote: /builddir/build/RPMS/python3-scikit-learn-debuginfo-1.6.1-3.el10_0.s390x.rpm
Child return code was: 0