Mock Version: 5.9
Mock Version: 5.9
Mock Version: 5.9
ENTER ['do_with_status'](['bash', '--login', '-c', '/usr/bin/rpmbuild -bs --noclean --target riscv64 --nodeps /builddir/build/SPECS/python-contourpy.spec'], chrootPath='/var/lib/mock/f42-build-side-1-3508588-46015/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 0x7fffa55520d0>timeout=864000uid=993gid=135user='mockbuild'unshare_net=TrueprintOutput=Falsenspawn_args=['--capability=cap_ipc_lock', '--bind=/tmp/mock-resolv.fs14q5w8:/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.fs14q5w8:/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', '0ab773737b0248a4a723206e9ac03dab', '-D', '/var/lib/mock/f42-build-side-1-3508588-46015/root', '-a', '-u', 'mockbuild', '--capability=cap_ipc_lock', '--bind=/tmp/mock-resolv.fs14q5w8:/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 riscv64 --nodeps /builddir/build/SPECS/python-contourpy.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: riscv64
Building for target riscv64
setting SOURCE_DATE_EPOCH=1744675200
Wrote: /builddir/build/SRPMS/python-contourpy-1.3.2-1.fc42.src.rpm
Child return code was: 0
ENTER ['do_with_status'](['bash', '--login', '-c', '/usr/bin/rpmbuild -br --noclean --target riscv64 --nodeps /builddir/build/SPECS/python-contourpy.spec'], chrootPath='/var/lib/mock/f42-build-side-1-3508588-46015/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 0x7fffa55520d0>timeout=864000uid=993gid=135user='mockbuild'unshare_net=TrueraiseExc=FalseprintOutput=Falsenspawn_args=['--capability=cap_ipc_lock', '--bind=/tmp/mock-resolv.fs14q5w8:/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.fs14q5w8:/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', 'dfaf998355b24e2c82f2e89978936663', '-D', '/var/lib/mock/f42-build-side-1-3508588-46015/root', '-a', '-u', 'mockbuild', '--capability=cap_ipc_lock', '--bind=/tmp/mock-resolv.fs14q5w8:/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 riscv64 --nodeps /builddir/build/SPECS/python-contourpy.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: riscv64
Building for target riscv64
setting SOURCE_DATE_EPOCH=1744675200
Executing(%mkbuilddir): /bin/sh -e /var/tmp/rpm-tmp.lhdiMe
Executing(%prep): /bin/sh -e /var/tmp/rpm-tmp.edQF1T
+ umask 022
+ cd /builddir/build/BUILD/python-contourpy-1.3.2-build
+ cd /builddir/build/BUILD/python-contourpy-1.3.2-build
+ rm -rf contourpy-1.3.2
+ /usr/lib/rpm/rpmuncompress -x /builddir/build/SOURCES/contourpy-1.3.2.tar.gz
+ STATUS=0
+ '[' 0 -ne 0 ']'
+ cd contourpy-1.3.2
+ /usr/bin/chmod -Rf a+rX,u+w,g-w,o-w .
+ RPM_EC=0
++ jobs -p
+ exit 0
Executing(%generate_buildrequires): /bin/sh -e /var/tmp/rpm-tmp.PyPeJf
+ umask 022
+ cd /builddir/build/BUILD/python-contourpy-1.3.2-build
+ cd contourpy-1.3.2
+ echo pyproject-rpm-macros
+ echo python3-devel
+ echo 'python3dist(packaging)'
+ echo 'python3dist(pip) >= 19'
+ '[' -f pyproject.toml ']'
+ echo '(python3dist(tomli) if python3-devel < 3.11)'
+ rm -rfv '*.dist-info/'
+ '[' -f /usr/bin/python3 ']'
+ mkdir -p /builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/.pyproject-builddir
+ echo -n
+ CFLAGS='-O2  -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  -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ CXXFLAGS='-O2  -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  -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ FFLAGS='-O2  -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  -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ FCFLAGS='-O2  -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  -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ VALAFLAGS=-g
+ RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn'
+ LDFLAGS='-Wl,-z,relro -Wl,--as-needed   -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-hardened-ld-errors -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes '
+ LT_SYS_LIBRARY_PATH=/usr/lib64:
+ CC=gcc
+ CXX=g++
+ TMPDIR=/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/.pyproject-builddir
+ RPM_TOXENV=py313
+ FEDORA=42
+ HOSTNAME=rpmbuild
+ /usr/bin/python3 -Bs /usr/lib/rpm/redhat/pyproject_buildrequires.py --generate-extras --python3_pkgversion 3 --wheeldir /builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/pyproject-wheeldir --output /builddir/build/BUILD/python-contourpy-1.3.2-build/python-contourpy-1.3.2-1.fc42.riscv64-pyproject-buildrequires -p -x test
Handling meson >= 1.2.0 from build-system.requires
Requirement not satisfied: meson >= 1.2.0
Handling meson-python >= 0.13.1 from build-system.requires
Requirement not satisfied: meson-python >= 0.13.1
Handling pybind11 >= 2.13.2, != 2.13.3 from build-system.requires
Requirement not satisfied: pybind11 >= 2.13.2, != 2.13.3
Exiting dependency generation pass: build backend
+ cat /builddir/build/BUILD/python-contourpy-1.3.2-build/python-contourpy-1.3.2-1.fc42.riscv64-pyproject-buildrequires
+ rm -rfv '*.dist-info/'
+ RPM_EC=0
++ jobs -p
+ exit 0
Wrote: /builddir/build/SRPMS/python-contourpy-1.3.2-1.fc42.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 riscv64 --nodeps /builddir/build/SPECS/python-contourpy.spec'], chrootPath='/var/lib/mock/f42-build-side-1-3508588-46015/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 0x7fffa55520d0>timeout=864000uid=993gid=135user='mockbuild'unshare_net=TrueraiseExc=FalseprintOutput=Falsenspawn_args=['--capability=cap_ipc_lock', '--bind=/tmp/mock-resolv.fs14q5w8:/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.fs14q5w8:/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', '425afea5341b45d99f78d7e785414356', '-D', '/var/lib/mock/f42-build-side-1-3508588-46015/root', '-a', '-u', 'mockbuild', '--capability=cap_ipc_lock', '--bind=/tmp/mock-resolv.fs14q5w8:/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 riscv64 --nodeps /builddir/build/SPECS/python-contourpy.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: riscv64
Building for target riscv64
setting SOURCE_DATE_EPOCH=1744675200
Executing(%generate_buildrequires): /bin/sh -e /var/tmp/rpm-tmp.GmixJs
+ umask 022
+ cd /builddir/build/BUILD/python-contourpy-1.3.2-build
+ cd contourpy-1.3.2
+ echo pyproject-rpm-macros
+ echo python3-devel
+ echo 'python3dist(packaging)'
+ echo 'python3dist(pip) >= 19'
+ '[' -f pyproject.toml ']'
+ echo '(python3dist(tomli) if python3-devel < 3.11)'
+ rm -rfv '*.dist-info/'
+ '[' -f /usr/bin/python3 ']'
+ mkdir -p /builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/.pyproject-builddir
+ echo -n
+ CFLAGS='-O2  -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  -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ CXXFLAGS='-O2  -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  -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ FFLAGS='-O2  -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  -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ FCFLAGS='-O2  -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  -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ VALAFLAGS=-g
+ RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn'
+ LDFLAGS='-Wl,-z,relro -Wl,--as-needed   -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-hardened-ld-errors -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes '
+ LT_SYS_LIBRARY_PATH=/usr/lib64:
+ CC=gcc
+ CXX=g++
+ TMPDIR=/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/.pyproject-builddir
+ RPM_TOXENV=py313
+ FEDORA=42
+ HOSTNAME=rpmbuild
+ /usr/bin/python3 -Bs /usr/lib/rpm/redhat/pyproject_buildrequires.py --generate-extras --python3_pkgversion 3 --wheeldir /builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/pyproject-wheeldir --output /builddir/build/BUILD/python-contourpy-1.3.2-build/python-contourpy-1.3.2-1.fc42.riscv64-pyproject-buildrequires -p -x test
Handling meson >= 1.2.0 from build-system.requires
Requirement satisfied: meson >= 1.2.0
   (installed: meson 1.4.1)
Handling meson-python >= 0.13.1 from build-system.requires
Requirement satisfied: meson-python >= 0.13.1
   (installed: meson-python 0.17.1)
Handling pybind11 >= 2.13.2, != 2.13.3 from build-system.requires
Requirement satisfied: pybind11 >= 2.13.2, != 2.13.3
   (installed: pybind11 2.13.6)
Handling numpy >= 1.23 from pyproject.toml generated metadata: [dependencies] (contourpy)
Requirement not satisfied: numpy >= 1.23
Handling furo from pyproject.toml generated metadata: [optional-dependencies] docs (contourpy)
Ignoring alien requirement: furo
Handling sphinx >= 7.2 from pyproject.toml generated metadata: [optional-dependencies] docs (contourpy)
Ignoring alien requirement: sphinx >= 7.2
Handling sphinx-copybutton from pyproject.toml generated metadata: [optional-dependencies] docs (contourpy)
Ignoring alien requirement: sphinx-copybutton
Handling bokeh from pyproject.toml generated metadata: [optional-dependencies] bokeh (contourpy)
Ignoring alien requirement: bokeh
Handling selenium from pyproject.toml generated metadata: [optional-dependencies] bokeh (contourpy)
Ignoring alien requirement: selenium
Handling contourpy[bokeh,docs] from pyproject.toml generated metadata: [optional-dependencies] mypy (contourpy)
Ignoring alien requirement: contourpy[bokeh,docs]
Handling bokeh from pyproject.toml generated metadata: [optional-dependencies] mypy (contourpy)
Ignoring alien requirement: bokeh
Handling docutils-stubs from pyproject.toml generated metadata: [optional-dependencies] mypy (contourpy)
Ignoring alien requirement: docutils-stubs
Handling mypy == 1.15.0 from pyproject.toml generated metadata: [optional-dependencies] mypy (contourpy)
Ignoring alien requirement: mypy == 1.15.0
Handling types-Pillow from pyproject.toml generated metadata: [optional-dependencies] mypy (contourpy)
Ignoring alien requirement: types-Pillow
Handling contourpy[test-no-images] from pyproject.toml generated metadata: [optional-dependencies] test (contourpy)
Handling furo; extra == "docs" from Previously ignored alien requirements
Ignoring alien requirement: furo; extra == "docs"
Handling sphinx>=7.2; extra == "docs" from Previously ignored alien requirements
Ignoring alien requirement: sphinx>=7.2; extra == "docs"
Handling sphinx-copybutton; extra == "docs" from Previously ignored alien requirements
Ignoring alien requirement: sphinx-copybutton; extra == "docs"
Handling bokeh; extra == "bokeh" from Previously ignored alien requirements
Ignoring alien requirement: bokeh; extra == "bokeh"
Handling selenium; extra == "bokeh" from Previously ignored alien requirements
Ignoring alien requirement: selenium; extra == "bokeh"
Handling contourpy[bokeh,docs]; extra == "mypy" from Previously ignored alien requirements
Ignoring alien requirement: contourpy[bokeh,docs]; extra == "mypy"
Handling bokeh; extra == "mypy" from Previously ignored alien requirements
Ignoring alien requirement: bokeh; extra == "mypy"
Handling docutils-stubs; extra == "mypy" from Previously ignored alien requirements
Ignoring alien requirement: docutils-stubs; extra == "mypy"
Handling mypy==1.15.0; extra == "mypy" from Previously ignored alien requirements
Ignoring alien requirement: mypy==1.15.0; extra == "mypy"
Handling types-Pillow; extra == "mypy" from Previously ignored alien requirements
Ignoring alien requirement: types-Pillow; extra == "mypy"
Handling matplotlib from pyproject.toml generated metadata: [optional-dependencies] test (contourpy)
Requirement not satisfied: matplotlib
Handling Pillow from pyproject.toml generated metadata: [optional-dependencies] test (contourpy)
Requirement not satisfied: Pillow
Handling pytest from pyproject.toml generated metadata: [optional-dependencies] test-no-images (contourpy)
Requirement not satisfied: pytest
Handling pytest-cov from pyproject.toml generated metadata: [optional-dependencies] test-no-images (contourpy)
Requirement not satisfied: pytest-cov
Handling pytest-rerunfailures from pyproject.toml generated metadata: [optional-dependencies] test-no-images (contourpy)
Requirement not satisfied: pytest-rerunfailures
Handling pytest-xdist from pyproject.toml generated metadata: [optional-dependencies] test-no-images (contourpy)
Requirement not satisfied: pytest-xdist
Handling wurlitzer from pyproject.toml generated metadata: [optional-dependencies] test-no-images (contourpy)
Requirement not satisfied: wurlitzer
+ cat /builddir/build/BUILD/python-contourpy-1.3.2-build/python-contourpy-1.3.2-1.fc42.riscv64-pyproject-buildrequires
+ rm -rfv '*.dist-info/'
+ RPM_EC=0
++ jobs -p
+ exit 0
Wrote: /builddir/build/SRPMS/python-contourpy-1.3.2-1.fc42.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 riscv64 --nodeps /builddir/build/SPECS/python-contourpy.spec'], chrootPath='/var/lib/mock/f42-build-side-1-3508588-46015/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 0x7fffa55520d0>timeout=864000uid=993gid=135user='mockbuild'unshare_net=TrueraiseExc=FalseprintOutput=Falsenspawn_args=['--capability=cap_ipc_lock', '--bind=/tmp/mock-resolv.fs14q5w8:/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.fs14q5w8:/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', 'b3e36510a5204897a96d015c1870cada', '-D', '/var/lib/mock/f42-build-side-1-3508588-46015/root', '-a', '-u', 'mockbuild', '--capability=cap_ipc_lock', '--bind=/tmp/mock-resolv.fs14q5w8:/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 riscv64 --nodeps /builddir/build/SPECS/python-contourpy.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: riscv64
Building for target riscv64
setting SOURCE_DATE_EPOCH=1744675200
Executing(%generate_buildrequires): /bin/sh -e /var/tmp/rpm-tmp.N0oexm
+ umask 022
+ cd /builddir/build/BUILD/python-contourpy-1.3.2-build
+ cd contourpy-1.3.2
+ echo pyproject-rpm-macros
+ echo python3-devel
+ echo 'python3dist(packaging)'
+ echo 'python3dist(pip) >= 19'
+ '[' -f pyproject.toml ']'
+ echo '(python3dist(tomli) if python3-devel < 3.11)'
+ rm -rfv '*.dist-info/'
+ '[' -f /usr/bin/python3 ']'
+ mkdir -p /builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/.pyproject-builddir
+ echo -n
+ CFLAGS='-O2  -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  -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ CXXFLAGS='-O2  -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  -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ FFLAGS='-O2  -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  -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ FCFLAGS='-O2  -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  -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ VALAFLAGS=-g
+ RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn'
+ LDFLAGS='-Wl,-z,relro -Wl,--as-needed   -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-hardened-ld-errors -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes '
+ LT_SYS_LIBRARY_PATH=/usr/lib64:
+ CC=gcc
+ CXX=g++
+ TMPDIR=/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/.pyproject-builddir
+ RPM_TOXENV=py313
+ FEDORA=42
+ HOSTNAME=rpmbuild
+ /usr/bin/python3 -Bs /usr/lib/rpm/redhat/pyproject_buildrequires.py --generate-extras --python3_pkgversion 3 --wheeldir /builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/pyproject-wheeldir --output /builddir/build/BUILD/python-contourpy-1.3.2-build/python-contourpy-1.3.2-1.fc42.riscv64-pyproject-buildrequires -p -x test
Handling meson >= 1.2.0 from build-system.requires
Requirement satisfied: meson >= 1.2.0
   (installed: meson 1.4.1)
Handling meson-python >= 0.13.1 from build-system.requires
Requirement satisfied: meson-python >= 0.13.1
   (installed: meson-python 0.17.1)
Handling pybind11 >= 2.13.2, != 2.13.3 from build-system.requires
Requirement satisfied: pybind11 >= 2.13.2, != 2.13.3
   (installed: pybind11 2.13.6)
Handling numpy >= 1.23 from pyproject.toml generated metadata: [dependencies] (contourpy)
Requirement satisfied: numpy >= 1.23
   (installed: numpy 2.2.5)
Handling furo from pyproject.toml generated metadata: [optional-dependencies] docs (contourpy)
Ignoring alien requirement: furo
Handling sphinx >= 7.2 from pyproject.toml generated metadata: [optional-dependencies] docs (contourpy)
Ignoring alien requirement: sphinx >= 7.2
Handling sphinx-copybutton from pyproject.toml generated metadata: [optional-dependencies] docs (contourpy)
Ignoring alien requirement: sphinx-copybutton
Handling bokeh from pyproject.toml generated metadata: [optional-dependencies] bokeh (contourpy)
Ignoring alien requirement: bokeh
Handling selenium from pyproject.toml generated metadata: [optional-dependencies] bokeh (contourpy)
Ignoring alien requirement: selenium
Handling contourpy[bokeh,docs] from pyproject.toml generated metadata: [optional-dependencies] mypy (contourpy)
Ignoring alien requirement: contourpy[bokeh,docs]
Handling bokeh from pyproject.toml generated metadata: [optional-dependencies] mypy (contourpy)
Ignoring alien requirement: bokeh
Handling docutils-stubs from pyproject.toml generated metadata: [optional-dependencies] mypy (contourpy)
Ignoring alien requirement: docutils-stubs
Handling mypy == 1.15.0 from pyproject.toml generated metadata: [optional-dependencies] mypy (contourpy)
Ignoring alien requirement: mypy == 1.15.0
Handling types-Pillow from pyproject.toml generated metadata: [optional-dependencies] mypy (contourpy)
Ignoring alien requirement: types-Pillow
Handling contourpy[test-no-images] from pyproject.toml generated metadata: [optional-dependencies] test (contourpy)
Handling furo; extra == "docs" from Previously ignored alien requirements
Ignoring alien requirement: furo; extra == "docs"
Handling sphinx>=7.2; extra == "docs" from Previously ignored alien requirements
Ignoring alien requirement: sphinx>=7.2; extra == "docs"
Handling sphinx-copybutton; extra == "docs" from Previously ignored alien requirements
Ignoring alien requirement: sphinx-copybutton; extra == "docs"
Handling bokeh; extra == "bokeh" from Previously ignored alien requirements
Ignoring alien requirement: bokeh; extra == "bokeh"
Handling selenium; extra == "bokeh" from Previously ignored alien requirements
Ignoring alien requirement: selenium; extra == "bokeh"
Handling contourpy[bokeh,docs]; extra == "mypy" from Previously ignored alien requirements
Ignoring alien requirement: contourpy[bokeh,docs]; extra == "mypy"
Handling bokeh; extra == "mypy" from Previously ignored alien requirements
Ignoring alien requirement: bokeh; extra == "mypy"
Handling docutils-stubs; extra == "mypy" from Previously ignored alien requirements
Ignoring alien requirement: docutils-stubs; extra == "mypy"
Handling mypy==1.15.0; extra == "mypy" from Previously ignored alien requirements
Ignoring alien requirement: mypy==1.15.0; extra == "mypy"
Handling types-Pillow; extra == "mypy" from Previously ignored alien requirements
Ignoring alien requirement: types-Pillow; extra == "mypy"
Handling matplotlib from pyproject.toml generated metadata: [optional-dependencies] test (contourpy)
Requirement satisfied: matplotlib
   (installed: matplotlib 3.9.1)
Handling Pillow from pyproject.toml generated metadata: [optional-dependencies] test (contourpy)
Requirement satisfied: Pillow
   (installed: Pillow 11.1.0)
Handling pytest from pyproject.toml generated metadata: [optional-dependencies] test-no-images (contourpy)
Requirement satisfied: pytest
   (installed: pytest 8.3.4)
Handling pytest-cov from pyproject.toml generated metadata: [optional-dependencies] test-no-images (contourpy)
Requirement satisfied: pytest-cov
   (installed: pytest-cov 5.0.0)
Handling pytest-rerunfailures from pyproject.toml generated metadata: [optional-dependencies] test-no-images (contourpy)
Requirement satisfied: pytest-rerunfailures
   (installed: pytest-rerunfailures 15.0)
Handling pytest-xdist from pyproject.toml generated metadata: [optional-dependencies] test-no-images (contourpy)
Requirement satisfied: pytest-xdist
   (installed: pytest-xdist 3.6.1)
Handling wurlitzer from pyproject.toml generated metadata: [optional-dependencies] test-no-images (contourpy)
Requirement satisfied: wurlitzer
   (installed: wurlitzer 3.1.1)
+ cat /builddir/build/BUILD/python-contourpy-1.3.2-build/python-contourpy-1.3.2-1.fc42.riscv64-pyproject-buildrequires
+ rm -rfv '*.dist-info/'
+ RPM_EC=0
++ jobs -p
+ exit 0
Wrote: /builddir/build/SRPMS/python-contourpy-1.3.2-1.fc42.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 riscv64 --nodeps /builddir/build/SPECS/python-contourpy.spec'], chrootPath='/var/lib/mock/f42-build-side-1-3508588-46015/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 0x7fffa55520d0>timeout=864000uid=993gid=135user='mockbuild'unshare_net=TrueprintOutput=Falsenspawn_args=['--capability=cap_ipc_lock', '--bind=/tmp/mock-resolv.fs14q5w8:/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.fs14q5w8:/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', '8ba40eb6a3ac4d38af2fc4e6df4f0bfa', '-D', '/var/lib/mock/f42-build-side-1-3508588-46015/root', '-a', '-u', 'mockbuild', '--capability=cap_ipc_lock', '--bind=/tmp/mock-resolv.fs14q5w8:/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 riscv64 --nodeps /builddir/build/SPECS/python-contourpy.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: riscv64
Building for target riscv64
setting SOURCE_DATE_EPOCH=1744675200
Executing(%generate_buildrequires): /bin/sh -e /var/tmp/rpm-tmp.QaIjWp
+ umask 022
+ cd /builddir/build/BUILD/python-contourpy-1.3.2-build
+ cd contourpy-1.3.2
+ echo pyproject-rpm-macros
+ echo python3-devel
+ echo 'python3dist(packaging)'
+ echo 'python3dist(pip) >= 19'
+ '[' -f pyproject.toml ']'
+ echo '(python3dist(tomli) if python3-devel < 3.11)'
+ rm -rfv '*.dist-info/'
+ '[' -f /usr/bin/python3 ']'
+ mkdir -p /builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/.pyproject-builddir
+ echo -n
+ CFLAGS='-O2  -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  -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ CXXFLAGS='-O2  -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  -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ FFLAGS='-O2  -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  -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ FCFLAGS='-O2  -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  -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ VALAFLAGS=-g
+ RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn'
+ LDFLAGS='-Wl,-z,relro -Wl,--as-needed   -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-hardened-ld-errors -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes '
+ LT_SYS_LIBRARY_PATH=/usr/lib64:
+ CC=gcc
+ CXX=g++
+ TMPDIR=/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/.pyproject-builddir
+ RPM_TOXENV=py313
+ FEDORA=42
+ HOSTNAME=rpmbuild
+ /usr/bin/python3 -Bs /usr/lib/rpm/redhat/pyproject_buildrequires.py --generate-extras --python3_pkgversion 3 --wheeldir /builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/pyproject-wheeldir --output /builddir/build/BUILD/python-contourpy-1.3.2-build/python-contourpy-1.3.2-1.fc42.riscv64-pyproject-buildrequires -p -x test
Handling meson >= 1.2.0 from build-system.requires
Requirement satisfied: meson >= 1.2.0
   (installed: meson 1.4.1)
Handling meson-python >= 0.13.1 from build-system.requires
Requirement satisfied: meson-python >= 0.13.1
   (installed: meson-python 0.17.1)
Handling pybind11 >= 2.13.2, != 2.13.3 from build-system.requires
Requirement satisfied: pybind11 >= 2.13.2, != 2.13.3
   (installed: pybind11 2.13.6)
Handling numpy >= 1.23 from pyproject.toml generated metadata: [dependencies] (contourpy)
Requirement satisfied: numpy >= 1.23
   (installed: numpy 2.2.5)
Handling furo from pyproject.toml generated metadata: [optional-dependencies] docs (contourpy)
Ignoring alien requirement: furo
Handling sphinx >= 7.2 from pyproject.toml generated metadata: [optional-dependencies] docs (contourpy)
Ignoring alien requirement: sphinx >= 7.2
Handling sphinx-copybutton from pyproject.toml generated metadata: [optional-dependencies] docs (contourpy)
Ignoring alien requirement: sphinx-copybutton
Handling bokeh from pyproject.toml generated metadata: [optional-dependencies] bokeh (contourpy)
Ignoring alien requirement: bokeh
Handling selenium from pyproject.toml generated metadata: [optional-dependencies] bokeh (contourpy)
Ignoring alien requirement: selenium
Handling contourpy[bokeh,docs] from pyproject.toml generated metadata: [optional-dependencies] mypy (contourpy)
Ignoring alien requirement: contourpy[bokeh,docs]
Handling bokeh from pyproject.toml generated metadata: [optional-dependencies] mypy (contourpy)
Ignoring alien requirement: bokeh
Handling docutils-stubs from pyproject.toml generated metadata: [optional-dependencies] mypy (contourpy)
Ignoring alien requirement: docutils-stubs
Handling mypy == 1.15.0 from pyproject.toml generated metadata: [optional-dependencies] mypy (contourpy)
Ignoring alien requirement: mypy == 1.15.0
Handling types-Pillow from pyproject.toml generated metadata: [optional-dependencies] mypy (contourpy)
Ignoring alien requirement: types-Pillow
Handling contourpy[test-no-images] from pyproject.toml generated metadata: [optional-dependencies] test (contourpy)
Handling furo; extra == "docs" from Previously ignored alien requirements
Ignoring alien requirement: furo; extra == "docs"
Handling sphinx>=7.2; extra == "docs" from Previously ignored alien requirements
Ignoring alien requirement: sphinx>=7.2; extra == "docs"
Handling sphinx-copybutton; extra == "docs" from Previously ignored alien requirements
Ignoring alien requirement: sphinx-copybutton; extra == "docs"
Handling bokeh; extra == "bokeh" from Previously ignored alien requirements
Ignoring alien requirement: bokeh; extra == "bokeh"
Handling selenium; extra == "bokeh" from Previously ignored alien requirements
Ignoring alien requirement: selenium; extra == "bokeh"
Handling contourpy[bokeh,docs]; extra == "mypy" from Previously ignored alien requirements
Ignoring alien requirement: contourpy[bokeh,docs]; extra == "mypy"
Handling bokeh; extra == "mypy" from Previously ignored alien requirements
Ignoring alien requirement: bokeh; extra == "mypy"
Handling docutils-stubs; extra == "mypy" from Previously ignored alien requirements
Ignoring alien requirement: docutils-stubs; extra == "mypy"
Handling mypy==1.15.0; extra == "mypy" from Previously ignored alien requirements
Ignoring alien requirement: mypy==1.15.0; extra == "mypy"
Handling types-Pillow; extra == "mypy" from Previously ignored alien requirements
Ignoring alien requirement: types-Pillow; extra == "mypy"
Handling matplotlib from pyproject.toml generated metadata: [optional-dependencies] test (contourpy)
Requirement satisfied: matplotlib
   (installed: matplotlib 3.9.1)
Handling Pillow from pyproject.toml generated metadata: [optional-dependencies] test (contourpy)
Requirement satisfied: Pillow
   (installed: Pillow 11.1.0)
Handling pytest from pyproject.toml generated metadata: [optional-dependencies] test-no-images (contourpy)
Requirement satisfied: pytest
   (installed: pytest 8.3.4)
Handling pytest-cov from pyproject.toml generated metadata: [optional-dependencies] test-no-images (contourpy)
Requirement satisfied: pytest-cov
   (installed: pytest-cov 5.0.0)
Handling pytest-rerunfailures from pyproject.toml generated metadata: [optional-dependencies] test-no-images (contourpy)
Requirement satisfied: pytest-rerunfailures
   (installed: pytest-rerunfailures 15.0)
Handling pytest-xdist from pyproject.toml generated metadata: [optional-dependencies] test-no-images (contourpy)
Requirement satisfied: pytest-xdist
   (installed: pytest-xdist 3.6.1)
Handling wurlitzer from pyproject.toml generated metadata: [optional-dependencies] test-no-images (contourpy)
Requirement satisfied: wurlitzer
   (installed: wurlitzer 3.1.1)
+ cat /builddir/build/BUILD/python-contourpy-1.3.2-build/python-contourpy-1.3.2-1.fc42.riscv64-pyproject-buildrequires
+ rm -rfv '*.dist-info/'
+ RPM_EC=0
++ jobs -p
+ exit 0
Executing(%build): /bin/sh -e /var/tmp/rpm-tmp.s3uvOY
+ umask 022
+ cd /builddir/build/BUILD/python-contourpy-1.3.2-build
+ CFLAGS='-O2  -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  -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ export CFLAGS
+ CXXFLAGS='-O2  -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  -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ export CXXFLAGS
+ FFLAGS='-O2  -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  -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ export FFLAGS
+ FCFLAGS='-O2  -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  -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ export FCFLAGS
+ VALAFLAGS=-g
+ export VALAFLAGS
+ RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn'
+ export RUSTFLAGS
+ LDFLAGS='-Wl,-z,relro -Wl,--as-needed   -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-hardened-ld-errors -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes '
+ export LDFLAGS
+ LT_SYS_LIBRARY_PATH=/usr/lib64:
+ export LT_SYS_LIBRARY_PATH
+ CC=gcc
+ export CC
+ CXX=g++
+ export CXX
+ cd contourpy-1.3.2
+ mkdir -p /builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/.pyproject-builddir
+ CFLAGS='-O2  -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  -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ CXXFLAGS='-O2  -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  -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ FFLAGS='-O2  -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  -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ FCFLAGS='-O2  -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  -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ VALAFLAGS=-g
+ RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn'
+ LDFLAGS='-Wl,-z,relro -Wl,--as-needed   -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-hardened-ld-errors -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes '
+ LT_SYS_LIBRARY_PATH=/usr/lib64:
+ CC=gcc
+ CXX=g++
+ TMPDIR=/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/.pyproject-builddir
+ /usr/bin/python3 -Bs /usr/lib/rpm/redhat/pyproject_wheel.py /builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/pyproject-wheeldir
Processing /builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2
  Preparing metadata (pyproject.toml): started
  Running command Preparing metadata (pyproject.toml)
  + meson setup /builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2 /builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/.mesonpy-6bfjzjb5 -Dbuildtype=release -Db_ndebug=if-release -Db_vscrt=md --vsenv --native-file=/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/.mesonpy-6bfjzjb5/meson-python-native-file.ini
  The Meson build system
  Version: 1.4.1
  Source dir: /builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2
  Build dir: /builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/.mesonpy-6bfjzjb5
  Build type: native build
  Project name: contourpy
  Project version: 1.3.2
  C++ compiler for the host machine: g++ (gcc 15.0.1 "g++ (GCC) 15.0.1 20250418 (Red Hat 15.0.1-0)")
  C++ linker for the host machine: g++ ld.bfd 2.44-3
  Host machine cpu family: riscv64
  Host machine cpu: riscv64
  Program python found: YES (/usr/bin/python3)
  Found pkg-config: YES (/usr/bin/pkg-config) 2.3.0
  Run-time dependency pybind11 found: YES 2.13.6
  Configuring _build_config.py using configuration
  Run-time dependency python found: YES 3.13
  Build targets in project: 1
  contourpy 1.3.2
    Build config
      host_cpu    : riscv64
      build_cpu   : riscv64
      cross_build : false
      optimization: 3
    User defined options
      Native files: /builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/.mesonpy-6bfjzjb5/meson-python-native-file.ini
      buildtype   : release
      vsenv       : true
      b_ndebug    : if-release
      b_vscrt     : md
  Found ninja-1.12.1 at /usr/bin/ninja
  Visual Studio environment is needed to run Ninja. It is recommended to use Meson wrapper:
  /usr/bin/meson compile -C .
  + /usr/bin/ninja -v
  [1/15] g++ -Isrc/_contourpy.cpython-313-riscv64-linux-gnu.so.p -Isrc -I../src -I/include -I/usr/include/python3.13 -fvisibility=hidden -fdiagnostics-color=always -DNDEBUG -D_FILE_OFFSET_BITS=64 -Wall -Winvalid-pch -Werror -std=c++17 -O3 -O2 -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 -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -fPIC -DCONTOURPY_VERSION=1.3.2 -MD -MQ src/_contourpy.cpython-313-riscv64-linux-gnu.so.p/line_type.cpp.o -MF src/_contourpy.cpython-313-riscv64-linux-gnu.so.p/line_type.cpp.o.d -o src/_contourpy.cpython-313-riscv64-linux-gnu.so.p/line_type.cpp.o -c ../src/line_type.cpp
  [2/15] g++ -Isrc/_contourpy.cpython-313-riscv64-linux-gnu.so.p -Isrc -I../src -I/include -I/usr/include/python3.13 -fvisibility=hidden -fdiagnostics-color=always -DNDEBUG -D_FILE_OFFSET_BITS=64 -Wall -Winvalid-pch -Werror -std=c++17 -O3 -O2 -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 -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -fPIC -DCONTOURPY_VERSION=1.3.2 -MD -MQ src/_contourpy.cpython-313-riscv64-linux-gnu.so.p/z_interp.cpp.o -MF src/_contourpy.cpython-313-riscv64-linux-gnu.so.p/z_interp.cpp.o.d -o src/_contourpy.cpython-313-riscv64-linux-gnu.so.p/z_interp.cpp.o -c ../src/z_interp.cpp
  [3/15] g++ -Isrc/_contourpy.cpython-313-riscv64-linux-gnu.so.p -Isrc -I../src -I/include -I/usr/include/python3.13 -fvisibility=hidden -fdiagnostics-color=always -DNDEBUG -D_FILE_OFFSET_BITS=64 -Wall -Winvalid-pch -Werror -std=c++17 -O3 -O2 -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 -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -fPIC -DCONTOURPY_VERSION=1.3.2 -MD -MQ src/_contourpy.cpython-313-riscv64-linux-gnu.so.p/fill_type.cpp.o -MF src/_contourpy.cpython-313-riscv64-linux-gnu.so.p/fill_type.cpp.o.d -o src/_contourpy.cpython-313-riscv64-linux-gnu.so.p/fill_type.cpp.o -c ../src/fill_type.cpp
  [4/15] g++ -Isrc/_contourpy.cpython-313-riscv64-linux-gnu.so.p -Isrc -I../src -I/include -I/usr/include/python3.13 -fvisibility=hidden -fdiagnostics-color=always -DNDEBUG -D_FILE_OFFSET_BITS=64 -Wall -Winvalid-pch -Werror -std=c++17 -O3 -O2 -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 -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -fPIC -DCONTOURPY_VERSION=1.3.2 -MD -MQ src/_contourpy.cpython-313-riscv64-linux-gnu.so.p/outer_or_hole.cpp.o -MF src/_contourpy.cpython-313-riscv64-linux-gnu.so.p/outer_or_hole.cpp.o.d -o src/_contourpy.cpython-313-riscv64-linux-gnu.so.p/outer_or_hole.cpp.o -c ../src/outer_or_hole.cpp
  [5/15] g++ -Isrc/_contourpy.cpython-313-riscv64-linux-gnu.so.p -Isrc -I../src -I/include -I/usr/include/python3.13 -fvisibility=hidden -fdiagnostics-color=always -DNDEBUG -D_FILE_OFFSET_BITS=64 -Wall -Winvalid-pch -Werror -std=c++17 -O3 -O2 -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 -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -fPIC -DCONTOURPY_VERSION=1.3.2 -MD -MQ src/_contourpy.cpython-313-riscv64-linux-gnu.so.p/mpl2005.cpp.o -MF src/_contourpy.cpython-313-riscv64-linux-gnu.so.p/mpl2005.cpp.o.d -o src/_contourpy.cpython-313-riscv64-linux-gnu.so.p/mpl2005.cpp.o -c ../src/mpl2005.cpp
  [6/15] g++ -Isrc/_contourpy.cpython-313-riscv64-linux-gnu.so.p -Isrc -I../src -I/include -I/usr/include/python3.13 -fvisibility=hidden -fdiagnostics-color=always -DNDEBUG -D_FILE_OFFSET_BITS=64 -Wall -Winvalid-pch -Werror -std=c++17 -O3 -O2 -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 -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -fPIC -DCONTOURPY_VERSION=1.3.2 -MD -MQ src/_contourpy.cpython-313-riscv64-linux-gnu.so.p/util.cpp.o -MF src/_contourpy.cpython-313-riscv64-linux-gnu.so.p/util.cpp.o.d -o src/_contourpy.cpython-313-riscv64-linux-gnu.so.p/util.cpp.o -c ../src/util.cpp
  [7/15] g++ -Isrc/_contourpy.cpython-313-riscv64-linux-gnu.so.p -Isrc -I../src -I/include -I/usr/include/python3.13 -fvisibility=hidden -fdiagnostics-color=always -DNDEBUG -D_FILE_OFFSET_BITS=64 -Wall -Winvalid-pch -Werror -std=c++17 -O3 -O2 -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 -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -fPIC -DCONTOURPY_VERSION=1.3.2 -MD -MQ src/_contourpy.cpython-313-riscv64-linux-gnu.so.p/chunk_local.cpp.o -MF src/_contourpy.cpython-313-riscv64-linux-gnu.so.p/chunk_local.cpp.o.d -o src/_contourpy.cpython-313-riscv64-linux-gnu.so.p/chunk_local.cpp.o -c ../src/chunk_local.cpp
  [8/15] g++ -Isrc/_contourpy.cpython-313-riscv64-linux-gnu.so.p -Isrc -I../src -I/include -I/usr/include/python3.13 -fvisibility=hidden -fdiagnostics-color=always -DNDEBUG -D_FILE_OFFSET_BITS=64 -Wall -Winvalid-pch -Werror -std=c++17 -O3 -O2 -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 -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -fPIC -DCONTOURPY_VERSION=1.3.2 -MD -MQ src/_contourpy.cpython-313-riscv64-linux-gnu.so.p/contour_generator.cpp.o -MF src/_contourpy.cpython-313-riscv64-linux-gnu.so.p/contour_generator.cpp.o.d -o src/_contourpy.cpython-313-riscv64-linux-gnu.so.p/contour_generator.cpp.o -c ../src/contour_generator.cpp
  [9/15] g++ -Isrc/_contourpy.cpython-313-riscv64-linux-gnu.so.p -Isrc -I../src -I/include -I/usr/include/python3.13 -fvisibility=hidden -fdiagnostics-color=always -DNDEBUG -D_FILE_OFFSET_BITS=64 -Wall -Winvalid-pch -Werror -std=c++17 -O3 -O2 -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 -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -fPIC -DCONTOURPY_VERSION=1.3.2 -MD -MQ src/_contourpy.cpython-313-riscv64-linux-gnu.so.p/converter.cpp.o -MF src/_contourpy.cpython-313-riscv64-linux-gnu.so.p/converter.cpp.o.d -o src/_contourpy.cpython-313-riscv64-linux-gnu.so.p/converter.cpp.o -c ../src/converter.cpp
  [10/15] g++ -Isrc/_contourpy.cpython-313-riscv64-linux-gnu.so.p -Isrc -I../src -I/include -I/usr/include/python3.13 -fvisibility=hidden -fdiagnostics-color=always -DNDEBUG -D_FILE_OFFSET_BITS=64 -Wall -Winvalid-pch -Werror -std=c++17 -O3 -O2 -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 -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -fPIC -DCONTOURPY_VERSION=1.3.2 -MD -MQ src/_contourpy.cpython-313-riscv64-linux-gnu.so.p/mpl2005_original.cpp.o -MF src/_contourpy.cpython-313-riscv64-linux-gnu.so.p/mpl2005_original.cpp.o.d -o src/_contourpy.cpython-313-riscv64-linux-gnu.so.p/mpl2005_original.cpp.o -c ../src/mpl2005_original.cpp
  [11/15] g++ -Isrc/_contourpy.cpython-313-riscv64-linux-gnu.so.p -Isrc -I../src -I/include -I/usr/include/python3.13 -fvisibility=hidden -fdiagnostics-color=always -DNDEBUG -D_FILE_OFFSET_BITS=64 -Wall -Winvalid-pch -Werror -std=c++17 -O3 -O2 -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 -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -fPIC -DCONTOURPY_VERSION=1.3.2 -MD -MQ src/_contourpy.cpython-313-riscv64-linux-gnu.so.p/mpl2014.cpp.o -MF src/_contourpy.cpython-313-riscv64-linux-gnu.so.p/mpl2014.cpp.o.d -o src/_contourpy.cpython-313-riscv64-linux-gnu.so.p/mpl2014.cpp.o -c ../src/mpl2014.cpp
  [12/15] g++ -Isrc/_contourpy.cpython-313-riscv64-linux-gnu.so.p -Isrc -I../src -I/include -I/usr/include/python3.13 -fvisibility=hidden -fdiagnostics-color=always -DNDEBUG -D_FILE_OFFSET_BITS=64 -Wall -Winvalid-pch -Werror -std=c++17 -O3 -O2 -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 -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -fPIC -DCONTOURPY_VERSION=1.3.2 -MD -MQ src/_contourpy.cpython-313-riscv64-linux-gnu.so.p/serial.cpp.o -MF src/_contourpy.cpython-313-riscv64-linux-gnu.so.p/serial.cpp.o.d -o src/_contourpy.cpython-313-riscv64-linux-gnu.so.p/serial.cpp.o -c ../src/serial.cpp
  [13/15] g++ -Isrc/_contourpy.cpython-313-riscv64-linux-gnu.so.p -Isrc -I../src -I/include -I/usr/include/python3.13 -fvisibility=hidden -fdiagnostics-color=always -DNDEBUG -D_FILE_OFFSET_BITS=64 -Wall -Winvalid-pch -Werror -std=c++17 -O3 -O2 -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 -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -fPIC -DCONTOURPY_VERSION=1.3.2 -MD -MQ src/_contourpy.cpython-313-riscv64-linux-gnu.so.p/threaded.cpp.o -MF src/_contourpy.cpython-313-riscv64-linux-gnu.so.p/threaded.cpp.o.d -o src/_contourpy.cpython-313-riscv64-linux-gnu.so.p/threaded.cpp.o -c ../src/threaded.cpp
  [14/15] g++ -Isrc/_contourpy.cpython-313-riscv64-linux-gnu.so.p -Isrc -I../src -I/include -I/usr/include/python3.13 -fvisibility=hidden -fdiagnostics-color=always -DNDEBUG -D_FILE_OFFSET_BITS=64 -Wall -Winvalid-pch -Werror -std=c++17 -O3 -O2 -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 -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -fPIC -DCONTOURPY_VERSION=1.3.2 -MD -MQ src/_contourpy.cpython-313-riscv64-linux-gnu.so.p/wrap.cpp.o -MF src/_contourpy.cpython-313-riscv64-linux-gnu.so.p/wrap.cpp.o.d -o src/_contourpy.cpython-313-riscv64-linux-gnu.so.p/wrap.cpp.o -c ../src/wrap.cpp
  [15/15] g++  -o src/_contourpy.cpython-313-riscv64-linux-gnu.so src/_contourpy.cpython-313-riscv64-linux-gnu.so.p/chunk_local.cpp.o src/_contourpy.cpython-313-riscv64-linux-gnu.so.p/contour_generator.cpp.o src/_contourpy.cpython-313-riscv64-linux-gnu.so.p/converter.cpp.o src/_contourpy.cpython-313-riscv64-linux-gnu.so.p/fill_type.cpp.o src/_contourpy.cpython-313-riscv64-linux-gnu.so.p/line_type.cpp.o src/_contourpy.cpython-313-riscv64-linux-gnu.so.p/mpl2005_original.cpp.o src/_contourpy.cpython-313-riscv64-linux-gnu.so.p/mpl2005.cpp.o src/_contourpy.cpython-313-riscv64-linux-gnu.so.p/mpl2014.cpp.o src/_contourpy.cpython-313-riscv64-linux-gnu.so.p/outer_or_hole.cpp.o src/_contourpy.cpython-313-riscv64-linux-gnu.so.p/serial.cpp.o src/_contourpy.cpython-313-riscv64-linux-gnu.so.p/threaded.cpp.o src/_contourpy.cpython-313-riscv64-linux-gnu.so.p/util.cpp.o src/_contourpy.cpython-313-riscv64-linux-gnu.so.p/wrap.cpp.o src/_contourpy.cpython-313-riscv64-linux-gnu.so.p/z_interp.cpp.o -Wl,--as-needed -Wl,--allow-shlib-undefined -Wl,-O1 -shared -fPIC -Wl,-z,relro -Wl,--as-needed -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-hardened-ld-errors -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1 -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes -O2 -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 -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer
  [1/20] /builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/.mesonpy-6bfjzjb5/src/_contourpy.cpython-313-riscv64-linux-gnu.so
  [2/20] /builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/lib/contourpy/__init__.py
  [3/20] /builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/lib/contourpy/_version.py
  [4/20] /builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/lib/contourpy/array.py
  [5/20] /builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/lib/contourpy/chunk.py
  [6/20] /builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/lib/contourpy/convert.py
  [7/20] /builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/lib/contourpy/dechunk.py
  [8/20] /builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/lib/contourpy/enum_util.py
  [9/20] /builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/lib/contourpy/typecheck.py
  [10/20] /builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/lib/contourpy/types.py
  [11/20] /builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/lib/contourpy/_contourpy.pyi
  [12/20] /builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/lib/contourpy/py.typed
  [13/20] /builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/lib/contourpy/util/__init__.py
  [14/20] /builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/lib/contourpy/util/bokeh_renderer.py
  [15/20] /builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/lib/contourpy/util/bokeh_util.py
  [16/20] /builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/lib/contourpy/util/data.py
  [17/20] /builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/lib/contourpy/util/mpl_renderer.py
  [18/20] /builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/lib/contourpy/util/mpl_util.py
  [19/20] /builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/lib/contourpy/util/renderer.py
  [20/20] /builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/.mesonpy-6bfjzjb5/lib/contourpy/util/_build_config.py
  Preparing metadata (pyproject.toml): finished with status 'done'
Building wheels for collected packages: contourpy
  Building wheel for contourpy (pyproject.toml): started
  Running command Building wheel for contourpy (pyproject.toml)
  Building wheel for contourpy (pyproject.toml): finished with status 'done'
  Created wheel for contourpy: filename=contourpy-1.3.2-cp313-cp313-linux_riscv64.whl size=8320047 sha256=01c256d2aa72a85b1d73b7442fea40d4cdb3b5fbe89cd3f9d533661248e36725
  Stored in directory: /builddir/.cache/pip/wheels/1f/21/80/4c2c7c80d66a6498a9d3ec05cdaa5ec5f9346f168ec6015aa7
Successfully built contourpy
+ RPM_EC=0
++ jobs -p
+ exit 0
Executing(%install): /bin/sh -e /var/tmp/rpm-tmp.ckNT9T
+ umask 022
+ cd /builddir/build/BUILD/python-contourpy-1.3.2-build
+ '[' /builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT '!=' / ']'
+ rm -rf /builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT
++ dirname /builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT
+ mkdir -p /builddir/build/BUILD/python-contourpy-1.3.2-build
+ mkdir /builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT
+ CFLAGS='-O2  -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  -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ export CFLAGS
+ CXXFLAGS='-O2  -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  -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ export CXXFLAGS
+ FFLAGS='-O2  -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  -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ export FFLAGS
+ FCFLAGS='-O2  -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  -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ export FCFLAGS
+ VALAFLAGS=-g
+ export VALAFLAGS
+ RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn'
+ export RUSTFLAGS
+ LDFLAGS='-Wl,-z,relro -Wl,--as-needed   -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-hardened-ld-errors -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes '
+ export LDFLAGS
+ LT_SYS_LIBRARY_PATH=/usr/lib64:
+ export LT_SYS_LIBRARY_PATH
+ CC=gcc
+ export CC
+ CXX=g++
+ export CXX
+ cd contourpy-1.3.2
++ xargs basename --multiple
++ ls /builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/pyproject-wheeldir/contourpy-1.3.2-cp313-cp313-linux_riscv64.whl
++ sed -E 's/([^-]+)-([^-]+)-.+\.whl/\1==\2/'
+ specifier=contourpy==1.3.2
+ '[' -z contourpy==1.3.2 ']'
+ TMPDIR=/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/.pyproject-builddir
+ /usr/bin/python3 -m pip install --root /builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT --prefix /usr --no-deps --disable-pip-version-check --progress-bar off --verbose --ignore-installed --no-warn-script-location --no-index --no-cache-dir --find-links /builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/pyproject-wheeldir contourpy==1.3.2
Using pip 24.3.1 from /usr/lib/python3.13/site-packages/pip (python 3.13)
Looking in links: /builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/pyproject-wheeldir
Processing ./pyproject-wheeldir/contourpy-1.3.2-cp313-cp313-linux_riscv64.whl
Installing collected packages: contourpy
Successfully installed contourpy-1.3.2
+ '[' -d /builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/bin ']'
+ rm -f /builddir/build/BUILD/python-contourpy-1.3.2-build/python-contourpy-1.3.2-1.fc42.riscv64-pyproject-ghost-distinfo
+ site_dirs=()
+ '[' -d /builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib/python3.13/site-packages ']'
+ '[' /builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages '!=' /builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib/python3.13/site-packages ']'
+ '[' -d /builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages ']'
+ site_dirs+=("/usr/lib64/python3.13/site-packages")
+ for site_dir in ${site_dirs[@]}
+ for distinfo in /builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT$site_dir/*.dist-info
+ echo '%ghost /usr/lib64/python3.13/site-packages/contourpy-1.3.2.dist-info'
+ sed -i s/pip/rpm/ /builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy-1.3.2.dist-info/INSTALLER
+ PYTHONPATH=/usr/lib/rpm/redhat
+ /usr/bin/python3 -B /usr/lib/rpm/redhat/pyproject_preprocess_record.py --buildroot /builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT --record /builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy-1.3.2.dist-info/RECORD --output /builddir/build/BUILD/python-contourpy-1.3.2-build/python-contourpy-1.3.2-1.fc42.riscv64-pyproject-record
+ rm -fv /builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy-1.3.2.dist-info/RECORD
removed '/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy-1.3.2.dist-info/RECORD'
+ rm -fv /builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy-1.3.2.dist-info/REQUESTED
removed '/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy-1.3.2.dist-info/REQUESTED'
++ cut -f1 '-d '
++ wc -l /builddir/build/BUILD/python-contourpy-1.3.2-build/python-contourpy-1.3.2-1.fc42.riscv64-pyproject-ghost-distinfo
+ 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-contourpy-1.3.2-build/python-contourpy-1.3.2-1.fc42.riscv64-pyproject-files --output-modules /builddir/build/BUILD/python-contourpy-1.3.2-build/python-contourpy-1.3.2-1.fc42.riscv64-pyproject-modules --buildroot /builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT --sitelib /usr/lib/python3.13/site-packages --sitearch /usr/lib64/python3.13/site-packages --python-version 3.13 --pyproject-record /builddir/build/BUILD/python-contourpy-1.3.2-build/python-contourpy-1.3.2-1.fc42.riscv64-pyproject-record --prefix /usr contourpy
+ /usr/bin/find-debuginfo -j32 --strict-build-id -m -i --build-id-seed 1.3.2-1.fc42 --unique-debug-suffix -1.3.2-1.fc42.riscv64 --unique-debug-src-base python-contourpy-1.3.2-1.fc42.riscv64 --run-dwz --dwz-low-mem-die-limit 10000000 --dwz-max-die-limit 50000000 -S debugsourcefiles.list /builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2
find-debuginfo: starting
Extracting debug info from 1 files
DWARF-compressing 1 files
sepdebugcrcfix: Updated 1 CRC32s, 0 CRC32s did match.
Creating .debug symlinks for symlinks to ELF files
Copying sources found by 'debugedit -l' to /usr/src/debug/python-contourpy-1.3.2-1.fc42.riscv64
cpio: .mesonpy-6bfjzjb5/: 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
+ /usr/lib/rpm/brp-remove-la-files
+ env /usr/lib/rpm/redhat/brp-python-bytecompile '' 1 0 -j32
Bytecompiling .py files below /builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib/debug/usr/lib64/python3.13 using python3.13
Bytecompiling .py files below /builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13 using python3.13
+ /usr/lib/rpm/redhat/brp-python-hardlink
+ /usr/bin/add-determinism --brp -j32 /builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT
/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/__pycache__/types.cpython-313.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/__pycache__/_version.cpython-313.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/__pycache__/__init__.cpython-313.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/__pycache__/chunk.cpython-313.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/__pycache__/_build_config.cpython-313.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/__pycache__/enum_util.cpython-313.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/__pycache__/dechunk.cpython-313.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/__pycache__/data.cpython-313.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/__pycache__/mpl_util.cpython-313.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/__pycache__/typecheck.cpython-313.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/__pycache__/bokeh_util.cpython-313.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/__pycache__/renderer.cpython-313.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/__pycache__/array.cpython-313.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/__pycache__/__init__.cpython-313.opt-1.pyc: rewriting with normalized contents
/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/__pycache__/convert.cpython-313.pyc: replacing with normalized version
/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/__pycache__/convert.cpython-313.opt-1.pyc: replacing with normalized version
/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/__pycache__/bokeh_renderer.cpython-313.opt-1.pyc: replacing with normalized version
/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/__pycache__/bokeh_renderer.cpython-313.pyc: replacing with normalized version
/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/__pycache__/mpl_renderer.cpython-313.opt-1.pyc: rewriting with normalized contents
Scanned 21 directories and 91 files,
               processed 19 inodes,
               19 modified (4 replaced + 15 rewritten),
               0 unsupported format, 0 errors
Reading /builddir/build/BUILD/python-contourpy-1.3.2-build/SPECPARTS/rpm-debuginfo.specpart
Executing(%check): /bin/sh -e /var/tmp/rpm-tmp.Z8s4Ti
+ umask 022
+ cd /builddir/build/BUILD/python-contourpy-1.3.2-build
+ CFLAGS='-O2  -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  -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ export CFLAGS
+ CXXFLAGS='-O2  -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  -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ export CXXFLAGS
+ FFLAGS='-O2  -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  -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ export FFLAGS
+ FCFLAGS='-O2  -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  -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer -I/usr/lib64/gfortran/modules '
+ export FCFLAGS
+ VALAFLAGS=-g
+ export VALAFLAGS
+ RUSTFLAGS='-Copt-level=3 -Cdebuginfo=2 -Ccodegen-units=1 -Cstrip=none -Cforce-frame-pointers=yes -Clink-arg=-specs=/usr/lib/rpm/redhat/redhat-package-notes --cap-lints=warn'
+ export RUSTFLAGS
+ LDFLAGS='-Wl,-z,relro -Wl,--as-needed   -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-hardened-ld-errors -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes '
+ export LDFLAGS
+ LT_SYS_LIBRARY_PATH=/usr/lib64:
+ export LT_SYS_LIBRARY_PATH
+ CC=gcc
+ export CC
+ CXX=g++
+ export CXX
+ cd contourpy-1.3.2
+ CFLAGS='-O2  -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  -fasynchronous-unwind-tables -fno-omit-frame-pointer -mno-omit-leaf-frame-pointer '
+ LDFLAGS='-Wl,-z,relro -Wl,--as-needed   -Wl,-z,now -specs=/usr/lib/rpm/redhat/redhat-hardened-ld -specs=/usr/lib/rpm/redhat/redhat-hardened-ld-errors -specs=/usr/lib/rpm/redhat/redhat-annobin-cc1  -Wl,--build-id=sha1 -specs=/usr/lib/rpm/redhat/redhat-package-notes '
+ PATH=/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/bin:/usr/bin:/bin:/usr/sbin:/sbin:/usr/local/sbin
+ PYTHONPATH=/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages:/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib/python3.13/site-packages
+ PYTHONDONTWRITEBYTECODE=1
+ PYTEST_ADDOPTS=' --ignore=/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/.pyproject-builddir'
+ PYTEST_XDIST_AUTO_NUM_WORKERS=32
+ /usr/bin/pytest
============================= test session starts ==============================
platform linux -- Python 3.13.2, pytest-8.3.4, pluggy-1.5.0
rootdir: /builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2
configfile: pyproject.toml
plugins: rerunfailures-15.0, cov-5.0.0, xdist-3.6.1
collected 2512 items / 1 skipped
tests/test_array.py ....................                                 [  0%]
tests/test_build_config.py .                                             [  0%]
tests/test_chunk.py ................................................     [  2%]
tests/test_codebase.py ss.                                               [  2%]
tests/test_config.py FsFsFsFsFsFsFsFsFsFsFsFsFsFsFsFsFsFs                [  4%]
tests/test_constructor.py .............................................. [  6%]
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..                                                                       [ 26%]
tests/test_convert.py .................................................. [ 28%]
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......                                                                   [ 45%]
tests/test_dechunk.py .................................................. [ 47%]
................                                                         [ 48%]
tests/test_enum.py .................                                     [ 49%]
tests/test_filled.py ............FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFF [ 51%]
FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFF [ 53%]
FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFF [ 56%]
FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFF [ 59%]
F..........................................................ss........... [ 62%]
.ssssssssss............................................................. [ 65%]
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.........................................................ss............  [ 71%]
tests/test_internal.py ................................                  [ 72%]
tests/test_lines.py ....................................FFFFFFFFFFFFFFFF [ 74%]
FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFF [ 77%]
FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFF [ 80%]
FFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFFF............ [ 83%]
.....................................ss................................. [ 85%]
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.........................ss..........                                    [ 90%]
tests/test_minimal.py ..........................                         [ 91%]
tests/test_misc.py ..                                                    [ 91%]
tests/test_renderer.py FsFsFsFsFsFsFsFsFsFsFsFsFsFsFsFsFsFsFsFsFsFsFsFsF [ 93%]
sFsFsFsFsFsFsFsFsFsFsFsFsFsFsFsFsFsFsFsFsFsFsFsFsFsFsFsFsFsFsFsFsFsFsFsF [ 96%]
sFsFsFsFsFsFsFsFsFsFsFsFsFsFsFsFsFsFFFF                                  [ 97%]
tests/test_static.py ....................................                [ 99%]
tests/test_typecheck.py ..............                                   [ 99%]
tests/test_z_interp.py ........                                          [100%]
=================================== FAILURES ===================================
______________________ test_config_filled[mpl2005-False] _______________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, name = 'mpl2005'
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("name", util_test.all_names())
    def test_config_filled(show_text: bool, name: str) -> None:
>       from . import util_config
tests/test_config.py:26: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
tests/util_config.py:8: in <module>
    import matplotlib.pyplot as plt
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_config.py", line 26, in test_config_filled
    from . import util_config
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/util_config.py", line 8, in <module>
    import matplotlib.pyplot as plt
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______________________ test_config_filled[mpl2014-False] _______________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, name = 'mpl2014'
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("name", util_test.all_names())
    def test_config_filled(show_text: bool, name: str) -> None:
>       from . import util_config
tests/test_config.py:26: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
tests/util_config.py:8: in <module>
    import matplotlib.pyplot as plt
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_config.py", line 26, in test_config_filled
    from . import util_config
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/util_config.py", line 8, in <module>
    import matplotlib.pyplot as plt
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_______________________ test_config_filled[serial-False] _______________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, name = 'serial'
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("name", util_test.all_names())
    def test_config_filled(show_text: bool, name: str) -> None:
>       from . import util_config
tests/test_config.py:26: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
tests/util_config.py:8: in <module>
    import matplotlib.pyplot as plt
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_config.py", line 26, in test_config_filled
    from . import util_config
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/util_config.py", line 8, in <module>
    import matplotlib.pyplot as plt
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______________________ test_config_filled[threaded-False] ______________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, name = 'threaded'
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("name", util_test.all_names())
    def test_config_filled(show_text: bool, name: str) -> None:
>       from . import util_config
tests/test_config.py:26: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
tests/util_config.py:8: in <module>
    import matplotlib.pyplot as plt
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_config.py", line 26, in test_config_filled
    from . import util_config
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/util_config.py", line 8, in <module>
    import matplotlib.pyplot as plt
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________________ test_config_filled_quad_as_tri[serial-False] _________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, name = 'serial'
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.flaky(reruns=1, condition=platform.python_implementation().startswith("PyPy"))
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("name", util_test.quad_as_tri_names())
    def test_config_filled_quad_as_tri(show_text: bool, name: str) -> None:
>       from . import util_config
tests/test_config.py:42: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
tests/util_config.py:8: in <module>
    import matplotlib.pyplot as plt
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/pytest_rerunfailures.py", line 566, in pytest_runtest_protocol
    reports = runtestprotocol(item, nextitem=nextitem, log=False)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_config.py", line 42, in test_config_filled_quad_as_tri
    from . import util_config
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/util_config.py", line 8, in <module>
    import matplotlib.pyplot as plt
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
________________ test_config_filled_quad_as_tri[threaded-False] ________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, name = 'threaded'
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.flaky(reruns=1, condition=platform.python_implementation().startswith("PyPy"))
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("name", util_test.quad_as_tri_names())
    def test_config_filled_quad_as_tri(show_text: bool, name: str) -> None:
>       from . import util_config
tests/test_config.py:42: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
tests/util_config.py:8: in <module>
    import matplotlib.pyplot as plt
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/pytest_rerunfailures.py", line 566, in pytest_runtest_protocol
    reports = runtestprotocol(item, nextitem=nextitem, log=False)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_config.py", line 42, in test_config_filled_quad_as_tri
    from . import util_config
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/util_config.py", line 8, in <module>
    import matplotlib.pyplot as plt
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
___________________ test_config_filled_corner[mpl2014-False] ___________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, name = 'mpl2014'
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("name", util_test.corner_mask_names())
    def test_config_filled_corner(show_text: bool, name: str) -> None:
>       from . import util_config
tests/test_config.py:57: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
tests/util_config.py:8: in <module>
    import matplotlib.pyplot as plt
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_config.py", line 57, in test_config_filled_corner
    from . import util_config
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/util_config.py", line 8, in <module>
    import matplotlib.pyplot as plt
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
___________________ test_config_filled_corner[serial-False] ____________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, name = 'serial'
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("name", util_test.corner_mask_names())
    def test_config_filled_corner(show_text: bool, name: str) -> None:
>       from . import util_config
tests/test_config.py:57: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
tests/util_config.py:8: in <module>
    import matplotlib.pyplot as plt
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_config.py", line 57, in test_config_filled_corner
    from . import util_config
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/util_config.py", line 8, in <module>
    import matplotlib.pyplot as plt
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__________________ test_config_filled_corner[threaded-False] ___________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, name = 'threaded'
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("name", util_test.corner_mask_names())
    def test_config_filled_corner(show_text: bool, name: str) -> None:
>       from . import util_config
tests/test_config.py:57: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
tests/util_config.py:8: in <module>
    import matplotlib.pyplot as plt
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_config.py", line 57, in test_config_filled_corner
    from . import util_config
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/util_config.py", line 8, in <module>
    import matplotlib.pyplot as plt
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_______________________ test_config_lines[mpl2005-False] _______________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, name = 'mpl2005'
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("name", util_test.all_names())
    def test_config_lines(show_text: bool, name: str) -> None:
>       from . import util_config
tests/test_config.py:72: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
tests/util_config.py:8: in <module>
    import matplotlib.pyplot as plt
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_config.py", line 72, in test_config_lines
    from . import util_config
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/util_config.py", line 8, in <module>
    import matplotlib.pyplot as plt
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_______________________ test_config_lines[mpl2014-False] _______________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, name = 'mpl2014'
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("name", util_test.all_names())
    def test_config_lines(show_text: bool, name: str) -> None:
>       from . import util_config
tests/test_config.py:72: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
tests/util_config.py:8: in <module>
    import matplotlib.pyplot as plt
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_config.py", line 72, in test_config_lines
    from . import util_config
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/util_config.py", line 8, in <module>
    import matplotlib.pyplot as plt
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_______________________ test_config_lines[serial-False] ________________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, name = 'serial'
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("name", util_test.all_names())
    def test_config_lines(show_text: bool, name: str) -> None:
>       from . import util_config
tests/test_config.py:72: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
tests/util_config.py:8: in <module>
    import matplotlib.pyplot as plt
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_config.py", line 72, in test_config_lines
    from . import util_config
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/util_config.py", line 8, in <module>
    import matplotlib.pyplot as plt
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______________________ test_config_lines[threaded-False] _______________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, name = 'threaded'
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("name", util_test.all_names())
    def test_config_lines(show_text: bool, name: str) -> None:
>       from . import util_config
tests/test_config.py:72: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
tests/util_config.py:8: in <module>
    import matplotlib.pyplot as plt
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_config.py", line 72, in test_config_lines
    from . import util_config
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/util_config.py", line 8, in <module>
    import matplotlib.pyplot as plt
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________________ test_config_lines_quad_as_tri[serial-False] __________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, name = 'serial'
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("name", util_test.quad_as_tri_names())
    def test_config_lines_quad_as_tri(show_text: bool, name: str) -> None:
>       from . import util_config
tests/test_config.py:89: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
tests/util_config.py:8: in <module>
    import matplotlib.pyplot as plt
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_config.py", line 89, in test_config_lines_quad_as_tri
    from . import util_config
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/util_config.py", line 8, in <module>
    import matplotlib.pyplot as plt
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
________________ test_config_lines_quad_as_tri[threaded-False] _________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, name = 'threaded'
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("name", util_test.quad_as_tri_names())
    def test_config_lines_quad_as_tri(show_text: bool, name: str) -> None:
>       from . import util_config
tests/test_config.py:89: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
tests/util_config.py:8: in <module>
    import matplotlib.pyplot as plt
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_config.py", line 89, in test_config_lines_quad_as_tri
    from . import util_config
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/util_config.py", line 8, in <module>
    import matplotlib.pyplot as plt
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
___________________ test_config_lines_corner[mpl2014-False] ____________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, name = 'mpl2014'
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("name", util_test.corner_mask_names())
    def test_config_lines_corner(show_text: bool, name: str) -> None:
>       from . import util_config
tests/test_config.py:104: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
tests/util_config.py:8: in <module>
    import matplotlib.pyplot as plt
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_config.py", line 104, in test_config_lines_corner
    from . import util_config
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/util_config.py", line 8, in <module>
    import matplotlib.pyplot as plt
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
____________________ test_config_lines_corner[serial-False] ____________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, name = 'serial'
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("name", util_test.corner_mask_names())
    def test_config_lines_corner(show_text: bool, name: str) -> None:
>       from . import util_config
tests/test_config.py:104: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
tests/util_config.py:8: in <module>
    import matplotlib.pyplot as plt
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_config.py", line 104, in test_config_lines_corner
    from . import util_config
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/util_config.py", line 8, in <module>
    import matplotlib.pyplot as plt
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
___________________ test_config_lines_corner[threaded-False] ___________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, name = 'threaded'
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("name", util_test.corner_mask_names())
    def test_config_lines_corner(show_text: bool, name: str) -> None:
>       from . import util_config
tests/test_config.py:104: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
tests/util_config.py:8: in <module>
    import matplotlib.pyplot as plt
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_config.py", line 104, in test_config_lines_corner
    from . import util_config
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/util_config.py", line 8, in <module>
    import matplotlib.pyplot as plt
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________________ test_filled_simple[mpl2005-OuterCode-False] __________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'mpl2005', fill_type = <FillType.OuterCode: 201>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:70: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 70, in test_filled_simple
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__________________ test_filled_simple[mpl2005-OuterCode-True] __________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'mpl2005', fill_type = <FillType.OuterCode: 201>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:70: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 70, in test_filled_simple
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________________ test_filled_simple[mpl2014-OuterCode-False] __________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'mpl2014', fill_type = <FillType.OuterCode: 201>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:70: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 70, in test_filled_simple
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__________________ test_filled_simple[mpl2014-OuterCode-True] __________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'mpl2014', fill_type = <FillType.OuterCode: 201>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:70: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 70, in test_filled_simple
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__________________ test_filled_simple[serial-OuterCode-False] __________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', fill_type = <FillType.OuterCode: 201>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:70: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 70, in test_filled_simple
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__________________ test_filled_simple[serial-OuterCode-True] ___________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', fill_type = <FillType.OuterCode: 201>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:70: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 70, in test_filled_simple
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________________ test_filled_simple[serial-OuterOffset-False] _________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', fill_type = <FillType.OuterOffset: 202>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:70: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 70, in test_filled_simple
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________________ test_filled_simple[serial-OuterOffset-True] __________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', fill_type = <FillType.OuterOffset: 202>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:70: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 70, in test_filled_simple
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______________ test_filled_simple[serial-ChunkCombinedCode-False] ______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', fill_type = <FillType.ChunkCombinedCode: 203>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:70: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 70, in test_filled_simple
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______________ test_filled_simple[serial-ChunkCombinedCode-True] _______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', fill_type = <FillType.ChunkCombinedCode: 203>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:70: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 70, in test_filled_simple
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_____________ test_filled_simple[serial-ChunkCombinedOffset-False] _____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', fill_type = <FillType.ChunkCombinedOffset: 204>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:70: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 70, in test_filled_simple
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_____________ test_filled_simple[serial-ChunkCombinedOffset-True] ______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', fill_type = <FillType.ChunkCombinedOffset: 204>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:70: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 70, in test_filled_simple
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
___________ test_filled_simple[serial-ChunkCombinedCodeOffset-False] ___________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', fill_type = <FillType.ChunkCombinedCodeOffset: 205>
multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:70: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 70, in test_filled_simple
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
___________ test_filled_simple[serial-ChunkCombinedCodeOffset-True] ____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', fill_type = <FillType.ChunkCombinedCodeOffset: 205>
multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:70: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 70, in test_filled_simple
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__________ test_filled_simple[serial-ChunkCombinedOffsetOffset-False] __________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', fill_type = <FillType.ChunkCombinedOffsetOffset: 206>
multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:70: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 70, in test_filled_simple
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__________ test_filled_simple[serial-ChunkCombinedOffsetOffset-True] ___________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', fill_type = <FillType.ChunkCombinedOffsetOffset: 206>
multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:70: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 70, in test_filled_simple
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________________ test_filled_simple[threaded-OuterCode-False] _________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', fill_type = <FillType.OuterCode: 201>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:70: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 70, in test_filled_simple
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________________ test_filled_simple[threaded-OuterCode-True] __________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', fill_type = <FillType.OuterCode: 201>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:70: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 70, in test_filled_simple
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
________________ test_filled_simple[threaded-OuterOffset-False] ________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', fill_type = <FillType.OuterOffset: 202>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:70: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 70, in test_filled_simple
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
________________ test_filled_simple[threaded-OuterOffset-True] _________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', fill_type = <FillType.OuterOffset: 202>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:70: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 70, in test_filled_simple
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_____________ test_filled_simple[threaded-ChunkCombinedCode-False] _____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', fill_type = <FillType.ChunkCombinedCode: 203>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:70: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 70, in test_filled_simple
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_____________ test_filled_simple[threaded-ChunkCombinedCode-True] ______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', fill_type = <FillType.ChunkCombinedCode: 203>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:70: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 70, in test_filled_simple
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
____________ test_filled_simple[threaded-ChunkCombinedOffset-False] ____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', fill_type = <FillType.ChunkCombinedOffset: 204>
multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:70: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 70, in test_filled_simple
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
____________ test_filled_simple[threaded-ChunkCombinedOffset-True] _____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', fill_type = <FillType.ChunkCombinedOffset: 204>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:70: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 70, in test_filled_simple
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__________ test_filled_simple[threaded-ChunkCombinedCodeOffset-False] __________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', fill_type = <FillType.ChunkCombinedCodeOffset: 205>
multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:70: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 70, in test_filled_simple
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__________ test_filled_simple[threaded-ChunkCombinedCodeOffset-True] ___________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', fill_type = <FillType.ChunkCombinedCodeOffset: 205>
multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:70: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 70, in test_filled_simple
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________ test_filled_simple[threaded-ChunkCombinedOffsetOffset-False] _________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', fill_type = <FillType.ChunkCombinedOffsetOffset: 206>
multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:70: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 70, in test_filled_simple
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________ test_filled_simple[threaded-ChunkCombinedOffsetOffset-True] __________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', fill_type = <FillType.ChunkCombinedOffsetOffset: 206>
multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:70: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 70, in test_filled_simple
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______________ test_filled_simple_chunk[mpl2005-OuterCode-False] _______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'mpl2005', fill_type = <FillType.OuterCode: 201>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple_chunk(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:98: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 98, in test_filled_simple_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_______________ test_filled_simple_chunk[mpl2005-OuterCode-True] _______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'mpl2005', fill_type = <FillType.OuterCode: 201>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple_chunk(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:98: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 98, in test_filled_simple_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______________ test_filled_simple_chunk[mpl2014-OuterCode-False] _______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'mpl2014', fill_type = <FillType.OuterCode: 201>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple_chunk(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:98: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 98, in test_filled_simple_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_______________ test_filled_simple_chunk[mpl2014-OuterCode-True] _______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'mpl2014', fill_type = <FillType.OuterCode: 201>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple_chunk(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:98: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 98, in test_filled_simple_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_______________ test_filled_simple_chunk[serial-OuterCode-False] _______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', fill_type = <FillType.OuterCode: 201>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple_chunk(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:98: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 98, in test_filled_simple_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_______________ test_filled_simple_chunk[serial-OuterCode-True] ________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', fill_type = <FillType.OuterCode: 201>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple_chunk(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:98: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 98, in test_filled_simple_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______________ test_filled_simple_chunk[serial-OuterOffset-False] ______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', fill_type = <FillType.OuterOffset: 202>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple_chunk(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:98: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 98, in test_filled_simple_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______________ test_filled_simple_chunk[serial-OuterOffset-True] _______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', fill_type = <FillType.OuterOffset: 202>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple_chunk(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:98: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 98, in test_filled_simple_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
___________ test_filled_simple_chunk[serial-ChunkCombinedCode-False] ___________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', fill_type = <FillType.ChunkCombinedCode: 203>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple_chunk(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:98: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 98, in test_filled_simple_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
___________ test_filled_simple_chunk[serial-ChunkCombinedCode-True] ____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', fill_type = <FillType.ChunkCombinedCode: 203>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple_chunk(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:98: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 98, in test_filled_simple_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__________ test_filled_simple_chunk[serial-ChunkCombinedOffset-False] __________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', fill_type = <FillType.ChunkCombinedOffset: 204>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple_chunk(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:98: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 98, in test_filled_simple_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__________ test_filled_simple_chunk[serial-ChunkCombinedOffset-True] ___________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', fill_type = <FillType.ChunkCombinedOffset: 204>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple_chunk(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:98: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 98, in test_filled_simple_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
________ test_filled_simple_chunk[serial-ChunkCombinedCodeOffset-False] ________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', fill_type = <FillType.ChunkCombinedCodeOffset: 205>
multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple_chunk(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:98: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 98, in test_filled_simple_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
________ test_filled_simple_chunk[serial-ChunkCombinedCodeOffset-True] _________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', fill_type = <FillType.ChunkCombinedCodeOffset: 205>
multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple_chunk(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:98: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 98, in test_filled_simple_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_______ test_filled_simple_chunk[serial-ChunkCombinedOffsetOffset-False] _______
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', fill_type = <FillType.ChunkCombinedOffsetOffset: 206>
multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple_chunk(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:98: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 98, in test_filled_simple_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_______ test_filled_simple_chunk[serial-ChunkCombinedOffsetOffset-True] ________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', fill_type = <FillType.ChunkCombinedOffsetOffset: 206>
multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple_chunk(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:98: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 98, in test_filled_simple_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______________ test_filled_simple_chunk[threaded-OuterCode-False] ______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', fill_type = <FillType.OuterCode: 201>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple_chunk(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:98: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 98, in test_filled_simple_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______________ test_filled_simple_chunk[threaded-OuterCode-True] _______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', fill_type = <FillType.OuterCode: 201>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple_chunk(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:98: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 98, in test_filled_simple_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_____________ test_filled_simple_chunk[threaded-OuterOffset-False] _____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', fill_type = <FillType.OuterOffset: 202>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple_chunk(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:98: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 98, in test_filled_simple_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_____________ test_filled_simple_chunk[threaded-OuterOffset-True] ______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', fill_type = <FillType.OuterOffset: 202>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple_chunk(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:98: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 98, in test_filled_simple_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__________ test_filled_simple_chunk[threaded-ChunkCombinedCode-False] __________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', fill_type = <FillType.ChunkCombinedCode: 203>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple_chunk(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:98: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 98, in test_filled_simple_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__________ test_filled_simple_chunk[threaded-ChunkCombinedCode-True] ___________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', fill_type = <FillType.ChunkCombinedCode: 203>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple_chunk(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:98: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 98, in test_filled_simple_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________ test_filled_simple_chunk[threaded-ChunkCombinedOffset-False] _________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', fill_type = <FillType.ChunkCombinedOffset: 204>
multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple_chunk(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:98: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 98, in test_filled_simple_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________ test_filled_simple_chunk[threaded-ChunkCombinedOffset-True] __________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', fill_type = <FillType.ChunkCombinedOffset: 204>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple_chunk(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:98: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 98, in test_filled_simple_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_______ test_filled_simple_chunk[threaded-ChunkCombinedCodeOffset-False] _______
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', fill_type = <FillType.ChunkCombinedCodeOffset: 205>
multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple_chunk(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:98: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 98, in test_filled_simple_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_______ test_filled_simple_chunk[threaded-ChunkCombinedCodeOffset-True] ________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', fill_type = <FillType.ChunkCombinedCodeOffset: 205>
multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple_chunk(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:98: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 98, in test_filled_simple_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______ test_filled_simple_chunk[threaded-ChunkCombinedOffsetOffset-False] ______
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', fill_type = <FillType.ChunkCombinedOffsetOffset: 206>
multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple_chunk(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:98: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 98, in test_filled_simple_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______ test_filled_simple_chunk[threaded-ChunkCombinedOffsetOffset-True] _______
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', fill_type = <FillType.ChunkCombinedOffsetOffset: 206>
multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple_chunk(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:98: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 98, in test_filled_simple_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
________________ test_filled_simple_chunk_threads[2-OuterCode] _________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
fill_type = <FillType.OuterCode: 201>, thread_count = 2
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("fill_type", FillType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_filled_simple_chunk_threads(fill_type: FillType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:130: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 130, in test_filled_simple_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_______________ test_filled_simple_chunk_threads[2-OuterOffset] ________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
fill_type = <FillType.OuterOffset: 202>, thread_count = 2
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("fill_type", FillType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_filled_simple_chunk_threads(fill_type: FillType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:130: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 130, in test_filled_simple_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
____________ test_filled_simple_chunk_threads[2-ChunkCombinedCode] _____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
fill_type = <FillType.ChunkCombinedCode: 203>, thread_count = 2
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("fill_type", FillType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_filled_simple_chunk_threads(fill_type: FillType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:130: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 130, in test_filled_simple_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
___________ test_filled_simple_chunk_threads[2-ChunkCombinedOffset] ____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
fill_type = <FillType.ChunkCombinedOffset: 204>, thread_count = 2
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("fill_type", FillType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_filled_simple_chunk_threads(fill_type: FillType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:130: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 130, in test_filled_simple_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________ test_filled_simple_chunk_threads[2-ChunkCombinedCodeOffset] __________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
fill_type = <FillType.ChunkCombinedCodeOffset: 205>, thread_count = 2
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("fill_type", FillType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_filled_simple_chunk_threads(fill_type: FillType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:130: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 130, in test_filled_simple_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
________ test_filled_simple_chunk_threads[2-ChunkCombinedOffsetOffset] _________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
fill_type = <FillType.ChunkCombinedOffsetOffset: 206>, thread_count = 2
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("fill_type", FillType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_filled_simple_chunk_threads(fill_type: FillType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:130: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 130, in test_filled_simple_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
________________ test_filled_simple_chunk_threads[3-OuterCode] _________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
fill_type = <FillType.OuterCode: 201>, thread_count = 3
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("fill_type", FillType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_filled_simple_chunk_threads(fill_type: FillType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:130: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 130, in test_filled_simple_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_______________ test_filled_simple_chunk_threads[3-OuterOffset] ________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
fill_type = <FillType.OuterOffset: 202>, thread_count = 3
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("fill_type", FillType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_filled_simple_chunk_threads(fill_type: FillType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:130: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 130, in test_filled_simple_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
____________ test_filled_simple_chunk_threads[3-ChunkCombinedCode] _____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
fill_type = <FillType.ChunkCombinedCode: 203>, thread_count = 3
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("fill_type", FillType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_filled_simple_chunk_threads(fill_type: FillType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:130: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 130, in test_filled_simple_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
___________ test_filled_simple_chunk_threads[3-ChunkCombinedOffset] ____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
fill_type = <FillType.ChunkCombinedOffset: 204>, thread_count = 3
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("fill_type", FillType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_filled_simple_chunk_threads(fill_type: FillType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:130: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 130, in test_filled_simple_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________ test_filled_simple_chunk_threads[3-ChunkCombinedCodeOffset] __________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
fill_type = <FillType.ChunkCombinedCodeOffset: 205>, thread_count = 3
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("fill_type", FillType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_filled_simple_chunk_threads(fill_type: FillType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:130: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 130, in test_filled_simple_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
________ test_filled_simple_chunk_threads[3-ChunkCombinedOffsetOffset] _________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
fill_type = <FillType.ChunkCombinedOffsetOffset: 206>, thread_count = 3
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("fill_type", FillType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_filled_simple_chunk_threads(fill_type: FillType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:130: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 130, in test_filled_simple_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_____________ test_filled_simple_no_corner_mask[mpl2005-OuterCode] _____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'mpl2005', fill_type = <FillType.OuterCode: 201>
    @pytest.mark.image
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple_no_corner_mask(name: str, fill_type: FillType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:156: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 156, in test_filled_simple_no_corner_mask
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_____________ test_filled_simple_no_corner_mask[mpl2014-OuterCode] _____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'mpl2014', fill_type = <FillType.OuterCode: 201>
    @pytest.mark.image
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple_no_corner_mask(name: str, fill_type: FillType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:156: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 156, in test_filled_simple_no_corner_mask
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_____________ test_filled_simple_no_corner_mask[serial-OuterCode] ______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', fill_type = <FillType.OuterCode: 201>
    @pytest.mark.image
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple_no_corner_mask(name: str, fill_type: FillType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:156: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 156, in test_filled_simple_no_corner_mask
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
____________ test_filled_simple_no_corner_mask[serial-OuterOffset] _____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', fill_type = <FillType.OuterOffset: 202>
    @pytest.mark.image
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple_no_corner_mask(name: str, fill_type: FillType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:156: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 156, in test_filled_simple_no_corner_mask
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________ test_filled_simple_no_corner_mask[serial-ChunkCombinedCode] __________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', fill_type = <FillType.ChunkCombinedCode: 203>
    @pytest.mark.image
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple_no_corner_mask(name: str, fill_type: FillType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:156: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 156, in test_filled_simple_no_corner_mask
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
________ test_filled_simple_no_corner_mask[serial-ChunkCombinedOffset] _________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', fill_type = <FillType.ChunkCombinedOffset: 204>
    @pytest.mark.image
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple_no_corner_mask(name: str, fill_type: FillType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:156: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 156, in test_filled_simple_no_corner_mask
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______ test_filled_simple_no_corner_mask[serial-ChunkCombinedCodeOffset] _______
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', fill_type = <FillType.ChunkCombinedCodeOffset: 205>
    @pytest.mark.image
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple_no_corner_mask(name: str, fill_type: FillType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:156: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 156, in test_filled_simple_no_corner_mask
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_____ test_filled_simple_no_corner_mask[serial-ChunkCombinedOffsetOffset] ______
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', fill_type = <FillType.ChunkCombinedOffsetOffset: 206>
    @pytest.mark.image
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple_no_corner_mask(name: str, fill_type: FillType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:156: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 156, in test_filled_simple_no_corner_mask
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
____________ test_filled_simple_no_corner_mask[threaded-OuterCode] _____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', fill_type = <FillType.OuterCode: 201>
    @pytest.mark.image
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple_no_corner_mask(name: str, fill_type: FillType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:156: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 156, in test_filled_simple_no_corner_mask
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
___________ test_filled_simple_no_corner_mask[threaded-OuterOffset] ____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', fill_type = <FillType.OuterOffset: 202>
    @pytest.mark.image
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple_no_corner_mask(name: str, fill_type: FillType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:156: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 156, in test_filled_simple_no_corner_mask
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
________ test_filled_simple_no_corner_mask[threaded-ChunkCombinedCode] _________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', fill_type = <FillType.ChunkCombinedCode: 203>
    @pytest.mark.image
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple_no_corner_mask(name: str, fill_type: FillType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:156: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 156, in test_filled_simple_no_corner_mask
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_______ test_filled_simple_no_corner_mask[threaded-ChunkCombinedOffset] ________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', fill_type = <FillType.ChunkCombinedOffset: 204>
    @pytest.mark.image
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple_no_corner_mask(name: str, fill_type: FillType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:156: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 156, in test_filled_simple_no_corner_mask
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_____ test_filled_simple_no_corner_mask[threaded-ChunkCombinedCodeOffset] ______
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', fill_type = <FillType.ChunkCombinedCodeOffset: 205>
    @pytest.mark.image
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple_no_corner_mask(name: str, fill_type: FillType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:156: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 156, in test_filled_simple_no_corner_mask
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
____ test_filled_simple_no_corner_mask[threaded-ChunkCombinedOffsetOffset] _____
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', fill_type = <FillType.ChunkCombinedOffsetOffset: 206>
    @pytest.mark.image
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple_no_corner_mask(name: str, fill_type: FillType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:156: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 156, in test_filled_simple_no_corner_mask
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__________ test_filled_simple_no_corner_mask_chunk[mpl2005-OuterCode] __________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'mpl2005', fill_type = <FillType.OuterCode: 201>
    @pytest.mark.image
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple_no_corner_mask_chunk(name: str, fill_type: FillType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:178: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 178, in test_filled_simple_no_corner_mask_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__________ test_filled_simple_no_corner_mask_chunk[mpl2014-OuterCode] __________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'mpl2014', fill_type = <FillType.OuterCode: 201>
    @pytest.mark.image
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple_no_corner_mask_chunk(name: str, fill_type: FillType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:178: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 178, in test_filled_simple_no_corner_mask_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__________ test_filled_simple_no_corner_mask_chunk[serial-OuterCode] ___________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', fill_type = <FillType.OuterCode: 201>
    @pytest.mark.image
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple_no_corner_mask_chunk(name: str, fill_type: FillType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:178: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 178, in test_filled_simple_no_corner_mask_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________ test_filled_simple_no_corner_mask_chunk[serial-OuterOffset] __________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', fill_type = <FillType.OuterOffset: 202>
    @pytest.mark.image
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple_no_corner_mask_chunk(name: str, fill_type: FillType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:178: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 178, in test_filled_simple_no_corner_mask_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______ test_filled_simple_no_corner_mask_chunk[serial-ChunkCombinedCode] _______
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', fill_type = <FillType.ChunkCombinedCode: 203>
    @pytest.mark.image
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple_no_corner_mask_chunk(name: str, fill_type: FillType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:178: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 178, in test_filled_simple_no_corner_mask_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_____ test_filled_simple_no_corner_mask_chunk[serial-ChunkCombinedOffset] ______
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', fill_type = <FillType.ChunkCombinedOffset: 204>
    @pytest.mark.image
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple_no_corner_mask_chunk(name: str, fill_type: FillType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:178: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 178, in test_filled_simple_no_corner_mask_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
___ test_filled_simple_no_corner_mask_chunk[serial-ChunkCombinedCodeOffset] ____
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', fill_type = <FillType.ChunkCombinedCodeOffset: 205>
    @pytest.mark.image
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple_no_corner_mask_chunk(name: str, fill_type: FillType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:178: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 178, in test_filled_simple_no_corner_mask_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__ test_filled_simple_no_corner_mask_chunk[serial-ChunkCombinedOffsetOffset] ___
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', fill_type = <FillType.ChunkCombinedOffsetOffset: 206>
    @pytest.mark.image
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple_no_corner_mask_chunk(name: str, fill_type: FillType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:178: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 178, in test_filled_simple_no_corner_mask_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________ test_filled_simple_no_corner_mask_chunk[threaded-OuterCode] __________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', fill_type = <FillType.OuterCode: 201>
    @pytest.mark.image
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple_no_corner_mask_chunk(name: str, fill_type: FillType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:178: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 178, in test_filled_simple_no_corner_mask_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
________ test_filled_simple_no_corner_mask_chunk[threaded-OuterOffset] _________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', fill_type = <FillType.OuterOffset: 202>
    @pytest.mark.image
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple_no_corner_mask_chunk(name: str, fill_type: FillType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:178: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 178, in test_filled_simple_no_corner_mask_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_____ test_filled_simple_no_corner_mask_chunk[threaded-ChunkCombinedCode] ______
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', fill_type = <FillType.ChunkCombinedCode: 203>
    @pytest.mark.image
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple_no_corner_mask_chunk(name: str, fill_type: FillType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:178: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 178, in test_filled_simple_no_corner_mask_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
____ test_filled_simple_no_corner_mask_chunk[threaded-ChunkCombinedOffset] _____
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', fill_type = <FillType.ChunkCombinedOffset: 204>
    @pytest.mark.image
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple_no_corner_mask_chunk(name: str, fill_type: FillType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:178: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 178, in test_filled_simple_no_corner_mask_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__ test_filled_simple_no_corner_mask_chunk[threaded-ChunkCombinedCodeOffset] ___
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', fill_type = <FillType.ChunkCombinedCodeOffset: 205>
    @pytest.mark.image
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple_no_corner_mask_chunk(name: str, fill_type: FillType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:178: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 178, in test_filled_simple_no_corner_mask_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_ test_filled_simple_no_corner_mask_chunk[threaded-ChunkCombinedOffsetOffset] __
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', fill_type = <FillType.ChunkCombinedOffsetOffset: 206>
    @pytest.mark.image
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_simple_no_corner_mask_chunk(name: str, fill_type: FillType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:178: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 178, in test_filled_simple_no_corner_mask_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________ test_filled_simple_no_corner_mask_chunk_threads[2-OuterCode] _________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
fill_type = <FillType.OuterCode: 201>, thread_count = 2
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("fill_type", FillType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_filled_simple_no_corner_mask_chunk_threads(fill_type: FillType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:207: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 207, in test_filled_simple_no_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
________ test_filled_simple_no_corner_mask_chunk_threads[2-OuterOffset] ________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
fill_type = <FillType.OuterOffset: 202>, thread_count = 2
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("fill_type", FillType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_filled_simple_no_corner_mask_chunk_threads(fill_type: FillType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:207: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 207, in test_filled_simple_no_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_____ test_filled_simple_no_corner_mask_chunk_threads[2-ChunkCombinedCode] _____
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
fill_type = <FillType.ChunkCombinedCode: 203>, thread_count = 2
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("fill_type", FillType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_filled_simple_no_corner_mask_chunk_threads(fill_type: FillType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:207: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 207, in test_filled_simple_no_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
____ test_filled_simple_no_corner_mask_chunk_threads[2-ChunkCombinedOffset] ____
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
fill_type = <FillType.ChunkCombinedOffset: 204>, thread_count = 2
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("fill_type", FillType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_filled_simple_no_corner_mask_chunk_threads(fill_type: FillType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:207: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 207, in test_filled_simple_no_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__ test_filled_simple_no_corner_mask_chunk_threads[2-ChunkCombinedCodeOffset] __
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
fill_type = <FillType.ChunkCombinedCodeOffset: 205>, thread_count = 2
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("fill_type", FillType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_filled_simple_no_corner_mask_chunk_threads(fill_type: FillType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:207: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 207, in test_filled_simple_no_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_ test_filled_simple_no_corner_mask_chunk_threads[2-ChunkCombinedOffsetOffset] _
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
fill_type = <FillType.ChunkCombinedOffsetOffset: 206>, thread_count = 2
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("fill_type", FillType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_filled_simple_no_corner_mask_chunk_threads(fill_type: FillType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:207: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 207, in test_filled_simple_no_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________ test_filled_simple_no_corner_mask_chunk_threads[3-OuterCode] _________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
fill_type = <FillType.OuterCode: 201>, thread_count = 3
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("fill_type", FillType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_filled_simple_no_corner_mask_chunk_threads(fill_type: FillType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:207: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 207, in test_filled_simple_no_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
________ test_filled_simple_no_corner_mask_chunk_threads[3-OuterOffset] ________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
fill_type = <FillType.OuterOffset: 202>, thread_count = 3
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("fill_type", FillType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_filled_simple_no_corner_mask_chunk_threads(fill_type: FillType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:207: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 207, in test_filled_simple_no_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_____ test_filled_simple_no_corner_mask_chunk_threads[3-ChunkCombinedCode] _____
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
fill_type = <FillType.ChunkCombinedCode: 203>, thread_count = 3
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("fill_type", FillType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_filled_simple_no_corner_mask_chunk_threads(fill_type: FillType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:207: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 207, in test_filled_simple_no_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
____ test_filled_simple_no_corner_mask_chunk_threads[3-ChunkCombinedOffset] ____
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
fill_type = <FillType.ChunkCombinedOffset: 204>, thread_count = 3
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("fill_type", FillType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_filled_simple_no_corner_mask_chunk_threads(fill_type: FillType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:207: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 207, in test_filled_simple_no_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__ test_filled_simple_no_corner_mask_chunk_threads[3-ChunkCombinedCodeOffset] __
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
fill_type = <FillType.ChunkCombinedCodeOffset: 205>, thread_count = 3
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("fill_type", FillType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_filled_simple_no_corner_mask_chunk_threads(fill_type: FillType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:207: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 207, in test_filled_simple_no_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_ test_filled_simple_no_corner_mask_chunk_threads[3-ChunkCombinedOffsetOffset] _
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
fill_type = <FillType.ChunkCombinedOffsetOffset: 206>, thread_count = 3
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("fill_type", FillType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_filled_simple_no_corner_mask_chunk_threads(fill_type: FillType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:207: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 207, in test_filled_simple_no_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
___________________ test_filled_simple_corner_mask[mpl2014] ____________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'mpl2014'
    @pytest.mark.image
    @pytest.mark.parametrize("name", util_test.corner_mask_names())
    def test_filled_simple_corner_mask(name: str) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:235: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 235, in test_filled_simple_corner_mask
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
____________________ test_filled_simple_corner_mask[serial] ____________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial'
    @pytest.mark.image
    @pytest.mark.parametrize("name", util_test.corner_mask_names())
    def test_filled_simple_corner_mask(name: str) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:235: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 235, in test_filled_simple_corner_mask
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
___________________ test_filled_simple_corner_mask[threaded] ___________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded'
    @pytest.mark.image
    @pytest.mark.parametrize("name", util_test.corner_mask_names())
    def test_filled_simple_corner_mask(name: str) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:235: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 235, in test_filled_simple_corner_mask
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
________________ test_filled_simple_corner_mask_chunk[mpl2014] _________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'mpl2014'
    @pytest.mark.image
    @pytest.mark.parametrize("name", util_test.corner_mask_names())
    def test_filled_simple_corner_mask_chunk(name: str) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:258: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 258, in test_filled_simple_corner_mask_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________________ test_filled_simple_corner_mask_chunk[serial] _________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial'
    @pytest.mark.image
    @pytest.mark.parametrize("name", util_test.corner_mask_names())
    def test_filled_simple_corner_mask_chunk(name: str) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:258: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 258, in test_filled_simple_corner_mask_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
________________ test_filled_simple_corner_mask_chunk[threaded] ________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded'
    @pytest.mark.image
    @pytest.mark.parametrize("name", util_test.corner_mask_names())
    def test_filled_simple_corner_mask_chunk(name: str) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:258: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 258, in test_filled_simple_corner_mask_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__________ test_filled_simple_corner_mask_chunk_threads[2-OuterCode] ___________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
fill_type = <FillType.OuterCode: 201>, thread_count = 2
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("fill_type", FillType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_filled_simple_corner_mask_chunk_threads(fill_type: FillType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:288: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 288, in test_filled_simple_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________ test_filled_simple_corner_mask_chunk_threads[2-OuterOffset] __________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
fill_type = <FillType.OuterOffset: 202>, thread_count = 2
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("fill_type", FillType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_filled_simple_corner_mask_chunk_threads(fill_type: FillType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:288: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 288, in test_filled_simple_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______ test_filled_simple_corner_mask_chunk_threads[2-ChunkCombinedCode] _______
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
fill_type = <FillType.ChunkCombinedCode: 203>, thread_count = 2
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("fill_type", FillType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_filled_simple_corner_mask_chunk_threads(fill_type: FillType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:288: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 288, in test_filled_simple_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_____ test_filled_simple_corner_mask_chunk_threads[2-ChunkCombinedOffset] ______
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
fill_type = <FillType.ChunkCombinedOffset: 204>, thread_count = 2
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("fill_type", FillType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_filled_simple_corner_mask_chunk_threads(fill_type: FillType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:288: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 288, in test_filled_simple_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
___ test_filled_simple_corner_mask_chunk_threads[2-ChunkCombinedCodeOffset] ____
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
fill_type = <FillType.ChunkCombinedCodeOffset: 205>, thread_count = 2
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("fill_type", FillType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_filled_simple_corner_mask_chunk_threads(fill_type: FillType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:288: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 288, in test_filled_simple_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__ test_filled_simple_corner_mask_chunk_threads[2-ChunkCombinedOffsetOffset] ___
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
fill_type = <FillType.ChunkCombinedOffsetOffset: 206>, thread_count = 2
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("fill_type", FillType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_filled_simple_corner_mask_chunk_threads(fill_type: FillType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:288: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 288, in test_filled_simple_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__________ test_filled_simple_corner_mask_chunk_threads[3-OuterCode] ___________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
fill_type = <FillType.OuterCode: 201>, thread_count = 3
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("fill_type", FillType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_filled_simple_corner_mask_chunk_threads(fill_type: FillType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:288: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 288, in test_filled_simple_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________ test_filled_simple_corner_mask_chunk_threads[3-OuterOffset] __________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
fill_type = <FillType.OuterOffset: 202>, thread_count = 3
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("fill_type", FillType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_filled_simple_corner_mask_chunk_threads(fill_type: FillType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:288: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 288, in test_filled_simple_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______ test_filled_simple_corner_mask_chunk_threads[3-ChunkCombinedCode] _______
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
fill_type = <FillType.ChunkCombinedCode: 203>, thread_count = 3
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("fill_type", FillType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_filled_simple_corner_mask_chunk_threads(fill_type: FillType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:288: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 288, in test_filled_simple_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_____ test_filled_simple_corner_mask_chunk_threads[3-ChunkCombinedOffset] ______
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
fill_type = <FillType.ChunkCombinedOffset: 204>, thread_count = 3
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("fill_type", FillType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_filled_simple_corner_mask_chunk_threads(fill_type: FillType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:288: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 288, in test_filled_simple_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
___ test_filled_simple_corner_mask_chunk_threads[3-ChunkCombinedCodeOffset] ____
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
fill_type = <FillType.ChunkCombinedCodeOffset: 205>, thread_count = 3
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("fill_type", FillType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_filled_simple_corner_mask_chunk_threads(fill_type: FillType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:288: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 288, in test_filled_simple_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__ test_filled_simple_corner_mask_chunk_threads[3-ChunkCombinedOffsetOffset] ___
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
fill_type = <FillType.ChunkCombinedOffsetOffset: 206>, thread_count = 3
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("fill_type", FillType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_filled_simple_corner_mask_chunk_threads(fill_type: FillType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:288: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 288, in test_filled_simple_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
____________________ test_filled_simple_quad_as_tri[serial] ____________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial'
    @pytest.mark.image
    @pytest.mark.parametrize("name", util_test.quad_as_tri_names())
    def test_filled_simple_quad_as_tri(name: str) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:317: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 317, in test_filled_simple_quad_as_tri
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
___________________ test_filled_simple_quad_as_tri[threaded] ___________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded'
    @pytest.mark.image
    @pytest.mark.parametrize("name", util_test.quad_as_tri_names())
    def test_filled_simple_quad_as_tri(name: str) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:317: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 317, in test_filled_simple_quad_as_tri
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________________ test_filled_random[mpl2005-OuterCode-False] __________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'mpl2005', fill_type = <FillType.OuterCode: 201>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:341: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 341, in test_filled_random
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__________________ test_filled_random[mpl2005-OuterCode-True] __________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'mpl2005', fill_type = <FillType.OuterCode: 201>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:341: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 341, in test_filled_random
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________________ test_filled_random[mpl2014-OuterCode-False] __________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'mpl2014', fill_type = <FillType.OuterCode: 201>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:341: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 341, in test_filled_random
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__________________ test_filled_random[mpl2014-OuterCode-True] __________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'mpl2014', fill_type = <FillType.OuterCode: 201>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:341: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 341, in test_filled_random
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__________________ test_filled_random[serial-OuterCode-False] __________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', fill_type = <FillType.OuterCode: 201>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:341: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 341, in test_filled_random
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__________________ test_filled_random[serial-OuterCode-True] ___________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', fill_type = <FillType.OuterCode: 201>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:341: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 341, in test_filled_random
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________________ test_filled_random[serial-OuterOffset-False] _________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', fill_type = <FillType.OuterOffset: 202>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:341: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 341, in test_filled_random
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________________ test_filled_random[serial-OuterOffset-True] __________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', fill_type = <FillType.OuterOffset: 202>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:341: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 341, in test_filled_random
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______________ test_filled_random[serial-ChunkCombinedCode-False] ______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', fill_type = <FillType.ChunkCombinedCode: 203>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:341: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 341, in test_filled_random
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______________ test_filled_random[serial-ChunkCombinedCode-True] _______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', fill_type = <FillType.ChunkCombinedCode: 203>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:341: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 341, in test_filled_random
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_____________ test_filled_random[serial-ChunkCombinedOffset-False] _____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', fill_type = <FillType.ChunkCombinedOffset: 204>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:341: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 341, in test_filled_random
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_____________ test_filled_random[serial-ChunkCombinedOffset-True] ______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', fill_type = <FillType.ChunkCombinedOffset: 204>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:341: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 341, in test_filled_random
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
___________ test_filled_random[serial-ChunkCombinedCodeOffset-False] ___________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', fill_type = <FillType.ChunkCombinedCodeOffset: 205>
multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:341: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 341, in test_filled_random
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
___________ test_filled_random[serial-ChunkCombinedCodeOffset-True] ____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', fill_type = <FillType.ChunkCombinedCodeOffset: 205>
multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:341: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 341, in test_filled_random
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__________ test_filled_random[serial-ChunkCombinedOffsetOffset-False] __________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', fill_type = <FillType.ChunkCombinedOffsetOffset: 206>
multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:341: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 341, in test_filled_random
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__________ test_filled_random[serial-ChunkCombinedOffsetOffset-True] ___________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', fill_type = <FillType.ChunkCombinedOffsetOffset: 206>
multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:341: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 341, in test_filled_random
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________________ test_filled_random[threaded-OuterCode-False] _________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', fill_type = <FillType.OuterCode: 201>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:341: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 341, in test_filled_random
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________________ test_filled_random[threaded-OuterCode-True] __________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', fill_type = <FillType.OuterCode: 201>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:341: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 341, in test_filled_random
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
________________ test_filled_random[threaded-OuterOffset-False] ________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', fill_type = <FillType.OuterOffset: 202>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:341: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 341, in test_filled_random
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
________________ test_filled_random[threaded-OuterOffset-True] _________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', fill_type = <FillType.OuterOffset: 202>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:341: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 341, in test_filled_random
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_____________ test_filled_random[threaded-ChunkCombinedCode-False] _____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', fill_type = <FillType.ChunkCombinedCode: 203>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:341: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 341, in test_filled_random
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_____________ test_filled_random[threaded-ChunkCombinedCode-True] ______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', fill_type = <FillType.ChunkCombinedCode: 203>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:341: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 341, in test_filled_random
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
____________ test_filled_random[threaded-ChunkCombinedOffset-False] ____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', fill_type = <FillType.ChunkCombinedOffset: 204>
multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:341: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 341, in test_filled_random
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
____________ test_filled_random[threaded-ChunkCombinedOffset-True] _____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', fill_type = <FillType.ChunkCombinedOffset: 204>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:341: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 341, in test_filled_random
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__________ test_filled_random[threaded-ChunkCombinedCodeOffset-False] __________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', fill_type = <FillType.ChunkCombinedCodeOffset: 205>
multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:341: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 341, in test_filled_random
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__________ test_filled_random[threaded-ChunkCombinedCodeOffset-True] ___________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', fill_type = <FillType.ChunkCombinedCodeOffset: 205>
multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:341: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 341, in test_filled_random
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________ test_filled_random[threaded-ChunkCombinedOffsetOffset-False] _________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', fill_type = <FillType.ChunkCombinedOffsetOffset: 206>
multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:341: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 341, in test_filled_random
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________ test_filled_random[threaded-ChunkCombinedOffsetOffset-True] __________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', fill_type = <FillType.ChunkCombinedOffsetOffset: 206>
multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:341: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 341, in test_filled_random
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______________ test_filled_random_chunk[mpl2005-OuterCode-False] _______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'mpl2005', fill_type = <FillType.OuterCode: 201>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random_chunk(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:369: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 369, in test_filled_random_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_______________ test_filled_random_chunk[mpl2005-OuterCode-True] _______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'mpl2005', fill_type = <FillType.OuterCode: 201>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random_chunk(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:369: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 369, in test_filled_random_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______________ test_filled_random_chunk[mpl2014-OuterCode-False] _______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'mpl2014', fill_type = <FillType.OuterCode: 201>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random_chunk(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:369: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 369, in test_filled_random_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_______________ test_filled_random_chunk[mpl2014-OuterCode-True] _______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'mpl2014', fill_type = <FillType.OuterCode: 201>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random_chunk(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:369: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 369, in test_filled_random_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_______________ test_filled_random_chunk[serial-OuterCode-False] _______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', fill_type = <FillType.OuterCode: 201>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random_chunk(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:369: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 369, in test_filled_random_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_______________ test_filled_random_chunk[serial-OuterCode-True] ________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', fill_type = <FillType.OuterCode: 201>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random_chunk(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:369: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 369, in test_filled_random_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______________ test_filled_random_chunk[serial-OuterOffset-False] ______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', fill_type = <FillType.OuterOffset: 202>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random_chunk(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:369: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 369, in test_filled_random_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______________ test_filled_random_chunk[serial-OuterOffset-True] _______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', fill_type = <FillType.OuterOffset: 202>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random_chunk(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:369: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 369, in test_filled_random_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
___________ test_filled_random_chunk[serial-ChunkCombinedCode-False] ___________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', fill_type = <FillType.ChunkCombinedCode: 203>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random_chunk(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:369: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 369, in test_filled_random_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
___________ test_filled_random_chunk[serial-ChunkCombinedCode-True] ____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', fill_type = <FillType.ChunkCombinedCode: 203>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random_chunk(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:369: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 369, in test_filled_random_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__________ test_filled_random_chunk[serial-ChunkCombinedOffset-False] __________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', fill_type = <FillType.ChunkCombinedOffset: 204>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random_chunk(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:369: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 369, in test_filled_random_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__________ test_filled_random_chunk[serial-ChunkCombinedOffset-True] ___________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', fill_type = <FillType.ChunkCombinedOffset: 204>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random_chunk(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:369: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 369, in test_filled_random_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
________ test_filled_random_chunk[serial-ChunkCombinedCodeOffset-False] ________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', fill_type = <FillType.ChunkCombinedCodeOffset: 205>
multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random_chunk(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:369: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 369, in test_filled_random_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
________ test_filled_random_chunk[serial-ChunkCombinedCodeOffset-True] _________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', fill_type = <FillType.ChunkCombinedCodeOffset: 205>
multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random_chunk(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:369: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 369, in test_filled_random_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_______ test_filled_random_chunk[serial-ChunkCombinedOffsetOffset-False] _______
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', fill_type = <FillType.ChunkCombinedOffsetOffset: 206>
multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random_chunk(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:369: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 369, in test_filled_random_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_______ test_filled_random_chunk[serial-ChunkCombinedOffsetOffset-True] ________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', fill_type = <FillType.ChunkCombinedOffsetOffset: 206>
multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random_chunk(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:369: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 369, in test_filled_random_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______________ test_filled_random_chunk[threaded-OuterCode-False] ______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', fill_type = <FillType.OuterCode: 201>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random_chunk(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:369: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 369, in test_filled_random_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______________ test_filled_random_chunk[threaded-OuterCode-True] _______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', fill_type = <FillType.OuterCode: 201>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random_chunk(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:369: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 369, in test_filled_random_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_____________ test_filled_random_chunk[threaded-OuterOffset-False] _____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', fill_type = <FillType.OuterOffset: 202>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random_chunk(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:369: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 369, in test_filled_random_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_____________ test_filled_random_chunk[threaded-OuterOffset-True] ______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', fill_type = <FillType.OuterOffset: 202>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random_chunk(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:369: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 369, in test_filled_random_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__________ test_filled_random_chunk[threaded-ChunkCombinedCode-False] __________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', fill_type = <FillType.ChunkCombinedCode: 203>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random_chunk(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:369: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 369, in test_filled_random_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__________ test_filled_random_chunk[threaded-ChunkCombinedCode-True] ___________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', fill_type = <FillType.ChunkCombinedCode: 203>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random_chunk(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:369: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 369, in test_filled_random_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________ test_filled_random_chunk[threaded-ChunkCombinedOffset-False] _________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', fill_type = <FillType.ChunkCombinedOffset: 204>
multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random_chunk(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:369: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 369, in test_filled_random_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________ test_filled_random_chunk[threaded-ChunkCombinedOffset-True] __________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', fill_type = <FillType.ChunkCombinedOffset: 204>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random_chunk(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:369: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 369, in test_filled_random_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_______ test_filled_random_chunk[threaded-ChunkCombinedCodeOffset-False] _______
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', fill_type = <FillType.ChunkCombinedCodeOffset: 205>
multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random_chunk(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:369: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 369, in test_filled_random_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_______ test_filled_random_chunk[threaded-ChunkCombinedCodeOffset-True] ________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', fill_type = <FillType.ChunkCombinedCodeOffset: 205>
multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random_chunk(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:369: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 369, in test_filled_random_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______ test_filled_random_chunk[threaded-ChunkCombinedOffsetOffset-False] ______
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', fill_type = <FillType.ChunkCombinedOffsetOffset: 206>
multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random_chunk(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:369: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 369, in test_filled_random_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______ test_filled_random_chunk[threaded-ChunkCombinedOffsetOffset-True] _______
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', fill_type = <FillType.ChunkCombinedOffsetOffset: 206>
multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random_chunk(name: str, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:369: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 369, in test_filled_random_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
________________ test_filled_random_chunk_threads[2-OuterCode] _________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
fill_type = <FillType.OuterCode: 201>, thread_count = 2
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("fill_type", FillType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_filled_random_chunk_threads(fill_type: FillType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:415: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 415, in test_filled_random_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_______________ test_filled_random_chunk_threads[2-OuterOffset] ________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
fill_type = <FillType.OuterOffset: 202>, thread_count = 2
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("fill_type", FillType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_filled_random_chunk_threads(fill_type: FillType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:415: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 415, in test_filled_random_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
____________ test_filled_random_chunk_threads[2-ChunkCombinedCode] _____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
fill_type = <FillType.ChunkCombinedCode: 203>, thread_count = 2
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("fill_type", FillType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_filled_random_chunk_threads(fill_type: FillType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:415: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 415, in test_filled_random_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
___________ test_filled_random_chunk_threads[2-ChunkCombinedOffset] ____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
fill_type = <FillType.ChunkCombinedOffset: 204>, thread_count = 2
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("fill_type", FillType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_filled_random_chunk_threads(fill_type: FillType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:415: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 415, in test_filled_random_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________ test_filled_random_chunk_threads[2-ChunkCombinedCodeOffset] __________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
fill_type = <FillType.ChunkCombinedCodeOffset: 205>, thread_count = 2
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("fill_type", FillType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_filled_random_chunk_threads(fill_type: FillType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:415: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 415, in test_filled_random_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
________ test_filled_random_chunk_threads[2-ChunkCombinedOffsetOffset] _________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
fill_type = <FillType.ChunkCombinedOffsetOffset: 206>, thread_count = 2
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("fill_type", FillType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_filled_random_chunk_threads(fill_type: FillType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:415: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 415, in test_filled_random_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
________________ test_filled_random_chunk_threads[3-OuterCode] _________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
fill_type = <FillType.OuterCode: 201>, thread_count = 3
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("fill_type", FillType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_filled_random_chunk_threads(fill_type: FillType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:415: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 415, in test_filled_random_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_______________ test_filled_random_chunk_threads[3-OuterOffset] ________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
fill_type = <FillType.OuterOffset: 202>, thread_count = 3
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("fill_type", FillType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_filled_random_chunk_threads(fill_type: FillType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:415: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 415, in test_filled_random_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
____________ test_filled_random_chunk_threads[3-ChunkCombinedCode] _____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
fill_type = <FillType.ChunkCombinedCode: 203>, thread_count = 3
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("fill_type", FillType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_filled_random_chunk_threads(fill_type: FillType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:415: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 415, in test_filled_random_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
___________ test_filled_random_chunk_threads[3-ChunkCombinedOffset] ____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
fill_type = <FillType.ChunkCombinedOffset: 204>, thread_count = 3
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("fill_type", FillType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_filled_random_chunk_threads(fill_type: FillType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:415: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 415, in test_filled_random_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________ test_filled_random_chunk_threads[3-ChunkCombinedCodeOffset] __________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
fill_type = <FillType.ChunkCombinedCodeOffset: 205>, thread_count = 3
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("fill_type", FillType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_filled_random_chunk_threads(fill_type: FillType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:415: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 415, in test_filled_random_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
________ test_filled_random_chunk_threads[3-ChunkCombinedOffsetOffset] _________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
fill_type = <FillType.ChunkCombinedOffsetOffset: 206>, thread_count = 3
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("fill_type", FillType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_filled_random_chunk_threads(fill_type: FillType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:415: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 415, in test_filled_random_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_____________ test_filled_random_no_corner_mask[mpl2005-OuterCode] _____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'mpl2005', fill_type = <FillType.OuterCode: 201>
    @pytest.mark.image
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random_no_corner_mask(name: str, fill_type: FillType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:449: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 449, in test_filled_random_no_corner_mask
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_____________ test_filled_random_no_corner_mask[mpl2014-OuterCode] _____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'mpl2014', fill_type = <FillType.OuterCode: 201>
    @pytest.mark.image
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random_no_corner_mask(name: str, fill_type: FillType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:449: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 449, in test_filled_random_no_corner_mask
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_____________ test_filled_random_no_corner_mask[serial-OuterCode] ______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', fill_type = <FillType.OuterCode: 201>
    @pytest.mark.image
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random_no_corner_mask(name: str, fill_type: FillType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:449: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 449, in test_filled_random_no_corner_mask
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
____________ test_filled_random_no_corner_mask[serial-OuterOffset] _____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', fill_type = <FillType.OuterOffset: 202>
    @pytest.mark.image
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random_no_corner_mask(name: str, fill_type: FillType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:449: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 449, in test_filled_random_no_corner_mask
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________ test_filled_random_no_corner_mask[serial-ChunkCombinedCode] __________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', fill_type = <FillType.ChunkCombinedCode: 203>
    @pytest.mark.image
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random_no_corner_mask(name: str, fill_type: FillType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:449: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 449, in test_filled_random_no_corner_mask
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
________ test_filled_random_no_corner_mask[serial-ChunkCombinedOffset] _________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', fill_type = <FillType.ChunkCombinedOffset: 204>
    @pytest.mark.image
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random_no_corner_mask(name: str, fill_type: FillType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:449: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 449, in test_filled_random_no_corner_mask
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______ test_filled_random_no_corner_mask[serial-ChunkCombinedCodeOffset] _______
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', fill_type = <FillType.ChunkCombinedCodeOffset: 205>
    @pytest.mark.image
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random_no_corner_mask(name: str, fill_type: FillType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:449: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 449, in test_filled_random_no_corner_mask
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_____ test_filled_random_no_corner_mask[serial-ChunkCombinedOffsetOffset] ______
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', fill_type = <FillType.ChunkCombinedOffsetOffset: 206>
    @pytest.mark.image
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random_no_corner_mask(name: str, fill_type: FillType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:449: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 449, in test_filled_random_no_corner_mask
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
____________ test_filled_random_no_corner_mask[threaded-OuterCode] _____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', fill_type = <FillType.OuterCode: 201>
    @pytest.mark.image
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random_no_corner_mask(name: str, fill_type: FillType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:449: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 449, in test_filled_random_no_corner_mask
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
___________ test_filled_random_no_corner_mask[threaded-OuterOffset] ____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', fill_type = <FillType.OuterOffset: 202>
    @pytest.mark.image
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random_no_corner_mask(name: str, fill_type: FillType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:449: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 449, in test_filled_random_no_corner_mask
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
________ test_filled_random_no_corner_mask[threaded-ChunkCombinedCode] _________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', fill_type = <FillType.ChunkCombinedCode: 203>
    @pytest.mark.image
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random_no_corner_mask(name: str, fill_type: FillType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:449: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 449, in test_filled_random_no_corner_mask
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_______ test_filled_random_no_corner_mask[threaded-ChunkCombinedOffset] ________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', fill_type = <FillType.ChunkCombinedOffset: 204>
    @pytest.mark.image
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random_no_corner_mask(name: str, fill_type: FillType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:449: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 449, in test_filled_random_no_corner_mask
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_____ test_filled_random_no_corner_mask[threaded-ChunkCombinedCodeOffset] ______
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', fill_type = <FillType.ChunkCombinedCodeOffset: 205>
    @pytest.mark.image
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random_no_corner_mask(name: str, fill_type: FillType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:449: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 449, in test_filled_random_no_corner_mask
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
____ test_filled_random_no_corner_mask[threaded-ChunkCombinedOffsetOffset] _____
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', fill_type = <FillType.ChunkCombinedOffsetOffset: 206>
    @pytest.mark.image
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random_no_corner_mask(name: str, fill_type: FillType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:449: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 449, in test_filled_random_no_corner_mask
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__________ test_filled_random_no_corner_mask_chunk[mpl2005-OuterCode] __________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'mpl2005', fill_type = <FillType.OuterCode: 201>
    @pytest.mark.image
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random_no_corner_mask_chunk(name: str, fill_type: FillType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:471: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 471, in test_filled_random_no_corner_mask_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__________ test_filled_random_no_corner_mask_chunk[mpl2014-OuterCode] __________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'mpl2014', fill_type = <FillType.OuterCode: 201>
    @pytest.mark.image
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random_no_corner_mask_chunk(name: str, fill_type: FillType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:471: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 471, in test_filled_random_no_corner_mask_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__________ test_filled_random_no_corner_mask_chunk[serial-OuterCode] ___________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', fill_type = <FillType.OuterCode: 201>
    @pytest.mark.image
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random_no_corner_mask_chunk(name: str, fill_type: FillType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:471: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 471, in test_filled_random_no_corner_mask_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________ test_filled_random_no_corner_mask_chunk[serial-OuterOffset] __________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', fill_type = <FillType.OuterOffset: 202>
    @pytest.mark.image
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random_no_corner_mask_chunk(name: str, fill_type: FillType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:471: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 471, in test_filled_random_no_corner_mask_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______ test_filled_random_no_corner_mask_chunk[serial-ChunkCombinedCode] _______
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', fill_type = <FillType.ChunkCombinedCode: 203>
    @pytest.mark.image
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random_no_corner_mask_chunk(name: str, fill_type: FillType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:471: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 471, in test_filled_random_no_corner_mask_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_____ test_filled_random_no_corner_mask_chunk[serial-ChunkCombinedOffset] ______
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', fill_type = <FillType.ChunkCombinedOffset: 204>
    @pytest.mark.image
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random_no_corner_mask_chunk(name: str, fill_type: FillType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:471: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 471, in test_filled_random_no_corner_mask_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
___ test_filled_random_no_corner_mask_chunk[serial-ChunkCombinedCodeOffset] ____
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', fill_type = <FillType.ChunkCombinedCodeOffset: 205>
    @pytest.mark.image
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random_no_corner_mask_chunk(name: str, fill_type: FillType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:471: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 471, in test_filled_random_no_corner_mask_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__ test_filled_random_no_corner_mask_chunk[serial-ChunkCombinedOffsetOffset] ___
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', fill_type = <FillType.ChunkCombinedOffsetOffset: 206>
    @pytest.mark.image
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random_no_corner_mask_chunk(name: str, fill_type: FillType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:471: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 471, in test_filled_random_no_corner_mask_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________ test_filled_random_no_corner_mask_chunk[threaded-OuterCode] __________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', fill_type = <FillType.OuterCode: 201>
    @pytest.mark.image
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random_no_corner_mask_chunk(name: str, fill_type: FillType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:471: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 471, in test_filled_random_no_corner_mask_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
________ test_filled_random_no_corner_mask_chunk[threaded-OuterOffset] _________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', fill_type = <FillType.OuterOffset: 202>
    @pytest.mark.image
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random_no_corner_mask_chunk(name: str, fill_type: FillType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:471: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 471, in test_filled_random_no_corner_mask_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_____ test_filled_random_no_corner_mask_chunk[threaded-ChunkCombinedCode] ______
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', fill_type = <FillType.ChunkCombinedCode: 203>
    @pytest.mark.image
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random_no_corner_mask_chunk(name: str, fill_type: FillType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:471: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 471, in test_filled_random_no_corner_mask_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
____ test_filled_random_no_corner_mask_chunk[threaded-ChunkCombinedOffset] _____
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', fill_type = <FillType.ChunkCombinedOffset: 204>
    @pytest.mark.image
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random_no_corner_mask_chunk(name: str, fill_type: FillType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:471: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 471, in test_filled_random_no_corner_mask_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__ test_filled_random_no_corner_mask_chunk[threaded-ChunkCombinedCodeOffset] ___
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', fill_type = <FillType.ChunkCombinedCodeOffset: 205>
    @pytest.mark.image
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random_no_corner_mask_chunk(name: str, fill_type: FillType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:471: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 471, in test_filled_random_no_corner_mask_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_ test_filled_random_no_corner_mask_chunk[threaded-ChunkCombinedOffsetOffset] __
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', fill_type = <FillType.ChunkCombinedOffsetOffset: 206>
    @pytest.mark.image
    @pytest.mark.parametrize("name, fill_type", util_test.all_names_and_fill_types())
    def test_filled_random_no_corner_mask_chunk(name: str, fill_type: FillType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:471: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 471, in test_filled_random_no_corner_mask_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________ test_filled_random_no_corner_mask_chunk_threads[2-OuterCode] _________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
fill_type = <FillType.OuterCode: 201>, thread_count = 2
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("fill_type", FillType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_filled_random_no_corner_mask_chunk_threads(fill_type: FillType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:513: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 513, in test_filled_random_no_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
________ test_filled_random_no_corner_mask_chunk_threads[2-OuterOffset] ________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
fill_type = <FillType.OuterOffset: 202>, thread_count = 2
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("fill_type", FillType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_filled_random_no_corner_mask_chunk_threads(fill_type: FillType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:513: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 513, in test_filled_random_no_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_____ test_filled_random_no_corner_mask_chunk_threads[2-ChunkCombinedCode] _____
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
fill_type = <FillType.ChunkCombinedCode: 203>, thread_count = 2
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("fill_type", FillType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_filled_random_no_corner_mask_chunk_threads(fill_type: FillType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:513: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 513, in test_filled_random_no_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
____ test_filled_random_no_corner_mask_chunk_threads[2-ChunkCombinedOffset] ____
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
fill_type = <FillType.ChunkCombinedOffset: 204>, thread_count = 2
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("fill_type", FillType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_filled_random_no_corner_mask_chunk_threads(fill_type: FillType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:513: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 513, in test_filled_random_no_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__ test_filled_random_no_corner_mask_chunk_threads[2-ChunkCombinedCodeOffset] __
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
fill_type = <FillType.ChunkCombinedCodeOffset: 205>, thread_count = 2
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("fill_type", FillType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_filled_random_no_corner_mask_chunk_threads(fill_type: FillType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:513: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 513, in test_filled_random_no_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_ test_filled_random_no_corner_mask_chunk_threads[2-ChunkCombinedOffsetOffset] _
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
fill_type = <FillType.ChunkCombinedOffsetOffset: 206>, thread_count = 2
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("fill_type", FillType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_filled_random_no_corner_mask_chunk_threads(fill_type: FillType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:513: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 513, in test_filled_random_no_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________ test_filled_random_no_corner_mask_chunk_threads[3-OuterCode] _________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
fill_type = <FillType.OuterCode: 201>, thread_count = 3
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("fill_type", FillType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_filled_random_no_corner_mask_chunk_threads(fill_type: FillType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:513: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 513, in test_filled_random_no_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
________ test_filled_random_no_corner_mask_chunk_threads[3-OuterOffset] ________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
fill_type = <FillType.OuterOffset: 202>, thread_count = 3
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("fill_type", FillType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_filled_random_no_corner_mask_chunk_threads(fill_type: FillType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:513: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 513, in test_filled_random_no_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_____ test_filled_random_no_corner_mask_chunk_threads[3-ChunkCombinedCode] _____
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
fill_type = <FillType.ChunkCombinedCode: 203>, thread_count = 3
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("fill_type", FillType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_filled_random_no_corner_mask_chunk_threads(fill_type: FillType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:513: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 513, in test_filled_random_no_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
____ test_filled_random_no_corner_mask_chunk_threads[3-ChunkCombinedOffset] ____
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
fill_type = <FillType.ChunkCombinedOffset: 204>, thread_count = 3
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("fill_type", FillType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_filled_random_no_corner_mask_chunk_threads(fill_type: FillType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:513: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 513, in test_filled_random_no_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__ test_filled_random_no_corner_mask_chunk_threads[3-ChunkCombinedCodeOffset] __
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
fill_type = <FillType.ChunkCombinedCodeOffset: 205>, thread_count = 3
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("fill_type", FillType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_filled_random_no_corner_mask_chunk_threads(fill_type: FillType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:513: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 513, in test_filled_random_no_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_ test_filled_random_no_corner_mask_chunk_threads[3-ChunkCombinedOffsetOffset] _
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
fill_type = <FillType.ChunkCombinedOffsetOffset: 206>, thread_count = 3
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("fill_type", FillType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_filled_random_no_corner_mask_chunk_threads(fill_type: FillType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:513: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 513, in test_filled_random_no_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
___________________ test_filled_random_corner_mask[mpl2014] ____________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'mpl2014'
    @pytest.mark.image
    @pytest.mark.parametrize("name", util_test.corner_mask_names())
    def test_filled_random_corner_mask(name: str) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:548: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 548, in test_filled_random_corner_mask
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
____________________ test_filled_random_corner_mask[serial] ____________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial'
    @pytest.mark.image
    @pytest.mark.parametrize("name", util_test.corner_mask_names())
    def test_filled_random_corner_mask(name: str) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:548: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 548, in test_filled_random_corner_mask
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
___________________ test_filled_random_corner_mask[threaded] ___________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded'
    @pytest.mark.image
    @pytest.mark.parametrize("name", util_test.corner_mask_names())
    def test_filled_random_corner_mask(name: str) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:548: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 548, in test_filled_random_corner_mask
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
________________ test_filled_random_corner_mask_chunk[mpl2014] _________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'mpl2014'
    @pytest.mark.image
    @pytest.mark.parametrize("name", util_test.corner_mask_names())
    def test_filled_random_corner_mask_chunk(name: str) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:571: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 571, in test_filled_random_corner_mask_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________________ test_filled_random_corner_mask_chunk[serial] _________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial'
    @pytest.mark.image
    @pytest.mark.parametrize("name", util_test.corner_mask_names())
    def test_filled_random_corner_mask_chunk(name: str) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:571: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 571, in test_filled_random_corner_mask_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
________________ test_filled_random_corner_mask_chunk[threaded] ________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded'
    @pytest.mark.image
    @pytest.mark.parametrize("name", util_test.corner_mask_names())
    def test_filled_random_corner_mask_chunk(name: str) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:571: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 571, in test_filled_random_corner_mask_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__________ test_filled_random_corner_mask_chunk_threads[2-OuterCode] ___________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
fill_type = <FillType.OuterCode: 201>, thread_count = 2
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("fill_type", FillType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_filled_random_corner_mask_chunk_threads(fill_type: FillType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:607: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 607, in test_filled_random_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________ test_filled_random_corner_mask_chunk_threads[2-OuterOffset] __________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
fill_type = <FillType.OuterOffset: 202>, thread_count = 2
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("fill_type", FillType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_filled_random_corner_mask_chunk_threads(fill_type: FillType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:607: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 607, in test_filled_random_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______ test_filled_random_corner_mask_chunk_threads[2-ChunkCombinedCode] _______
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
fill_type = <FillType.ChunkCombinedCode: 203>, thread_count = 2
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("fill_type", FillType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_filled_random_corner_mask_chunk_threads(fill_type: FillType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:607: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 607, in test_filled_random_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_____ test_filled_random_corner_mask_chunk_threads[2-ChunkCombinedOffset] ______
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
fill_type = <FillType.ChunkCombinedOffset: 204>, thread_count = 2
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("fill_type", FillType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_filled_random_corner_mask_chunk_threads(fill_type: FillType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:607: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 607, in test_filled_random_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
___ test_filled_random_corner_mask_chunk_threads[2-ChunkCombinedCodeOffset] ____
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
fill_type = <FillType.ChunkCombinedCodeOffset: 205>, thread_count = 2
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("fill_type", FillType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_filled_random_corner_mask_chunk_threads(fill_type: FillType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:607: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 607, in test_filled_random_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__ test_filled_random_corner_mask_chunk_threads[2-ChunkCombinedOffsetOffset] ___
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
fill_type = <FillType.ChunkCombinedOffsetOffset: 206>, thread_count = 2
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("fill_type", FillType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_filled_random_corner_mask_chunk_threads(fill_type: FillType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:607: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 607, in test_filled_random_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__________ test_filled_random_corner_mask_chunk_threads[3-OuterCode] ___________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
fill_type = <FillType.OuterCode: 201>, thread_count = 3
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("fill_type", FillType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_filled_random_corner_mask_chunk_threads(fill_type: FillType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:607: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 607, in test_filled_random_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________ test_filled_random_corner_mask_chunk_threads[3-OuterOffset] __________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
fill_type = <FillType.OuterOffset: 202>, thread_count = 3
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("fill_type", FillType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_filled_random_corner_mask_chunk_threads(fill_type: FillType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:607: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 607, in test_filled_random_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______ test_filled_random_corner_mask_chunk_threads[3-ChunkCombinedCode] _______
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
fill_type = <FillType.ChunkCombinedCode: 203>, thread_count = 3
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("fill_type", FillType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_filled_random_corner_mask_chunk_threads(fill_type: FillType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:607: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 607, in test_filled_random_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_____ test_filled_random_corner_mask_chunk_threads[3-ChunkCombinedOffset] ______
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
fill_type = <FillType.ChunkCombinedOffset: 204>, thread_count = 3
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("fill_type", FillType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_filled_random_corner_mask_chunk_threads(fill_type: FillType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:607: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 607, in test_filled_random_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
___ test_filled_random_corner_mask_chunk_threads[3-ChunkCombinedCodeOffset] ____
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
fill_type = <FillType.ChunkCombinedCodeOffset: 205>, thread_count = 3
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("fill_type", FillType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_filled_random_corner_mask_chunk_threads(fill_type: FillType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:607: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 607, in test_filled_random_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__ test_filled_random_corner_mask_chunk_threads[3-ChunkCombinedOffsetOffset] ___
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
fill_type = <FillType.ChunkCombinedOffsetOffset: 206>, thread_count = 3
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("fill_type", FillType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_filled_random_corner_mask_chunk_threads(fill_type: FillType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:607: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 607, in test_filled_random_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
____________________ test_filled_random_quad_as_tri[serial] ____________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial'
    @pytest.mark.image
    @pytest.mark.parametrize("name", util_test.quad_as_tri_names())
    def test_filled_random_quad_as_tri(name: str) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:636: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 636, in test_filled_random_quad_as_tri
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
___________________ test_filled_random_quad_as_tri[threaded] ___________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded'
    @pytest.mark.image
    @pytest.mark.parametrize("name", util_test.quad_as_tri_names())
    def test_filled_random_quad_as_tri(name: str) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_filled.py:636: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_filled.py", line 636, in test_filled_random_quad_as_tri
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
________________ test_lines_simple[mpl2005-SeparateCode-False] _________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'mpl2005', line_type = <LineType.SeparateCode: 102>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_simple(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:119: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 119, in test_lines_simple
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________________ test_lines_simple[mpl2005-SeparateCode-True] _________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'mpl2005', line_type = <LineType.SeparateCode: 102>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_simple(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:119: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 119, in test_lines_simple
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
________________ test_lines_simple[mpl2014-SeparateCode-False] _________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'mpl2014', line_type = <LineType.SeparateCode: 102>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_simple(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:119: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 119, in test_lines_simple
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________________ test_lines_simple[mpl2014-SeparateCode-True] _________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'mpl2014', line_type = <LineType.SeparateCode: 102>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_simple(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:119: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 119, in test_lines_simple
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
___________________ test_lines_simple[serial-Separate-False] ___________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', line_type = <LineType.Separate: 101>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_simple(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:119: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 119, in test_lines_simple
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
___________________ test_lines_simple[serial-Separate-True] ____________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', line_type = <LineType.Separate: 101>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_simple(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:119: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 119, in test_lines_simple
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________________ test_lines_simple[serial-SeparateCode-False] _________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', line_type = <LineType.SeparateCode: 102>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_simple(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:119: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 119, in test_lines_simple
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________________ test_lines_simple[serial-SeparateCode-True] __________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', line_type = <LineType.SeparateCode: 102>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_simple(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:119: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 119, in test_lines_simple
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______________ test_lines_simple[serial-ChunkCombinedCode-False] _______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', line_type = <LineType.ChunkCombinedCode: 103>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_simple(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:119: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 119, in test_lines_simple
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_______________ test_lines_simple[serial-ChunkCombinedCode-True] _______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', line_type = <LineType.ChunkCombinedCode: 103>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_simple(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:119: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 119, in test_lines_simple
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_____________ test_lines_simple[serial-ChunkCombinedOffset-False] ______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', line_type = <LineType.ChunkCombinedOffset: 104>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_simple(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:119: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 119, in test_lines_simple
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______________ test_lines_simple[serial-ChunkCombinedOffset-True] ______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', line_type = <LineType.ChunkCombinedOffset: 104>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_simple(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:119: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 119, in test_lines_simple
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_______________ test_lines_simple[serial-ChunkCombinedNan-False] _______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', line_type = <LineType.ChunkCombinedNan: 105>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_simple(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:119: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 119, in test_lines_simple
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_______________ test_lines_simple[serial-ChunkCombinedNan-True] ________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', line_type = <LineType.ChunkCombinedNan: 105>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_simple(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:119: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 119, in test_lines_simple
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__________________ test_lines_simple[threaded-Separate-False] __________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', line_type = <LineType.Separate: 101>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_simple(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:119: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 119, in test_lines_simple
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__________________ test_lines_simple[threaded-Separate-True] ___________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', line_type = <LineType.Separate: 101>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_simple(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:119: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 119, in test_lines_simple
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
________________ test_lines_simple[threaded-SeparateCode-False] ________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', line_type = <LineType.SeparateCode: 102>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_simple(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:119: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 119, in test_lines_simple
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
________________ test_lines_simple[threaded-SeparateCode-True] _________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', line_type = <LineType.SeparateCode: 102>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_simple(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:119: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 119, in test_lines_simple
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_____________ test_lines_simple[threaded-ChunkCombinedCode-False] ______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', line_type = <LineType.ChunkCombinedCode: 103>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_simple(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:119: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 119, in test_lines_simple
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______________ test_lines_simple[threaded-ChunkCombinedCode-True] ______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', line_type = <LineType.ChunkCombinedCode: 103>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_simple(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:119: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 119, in test_lines_simple
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
____________ test_lines_simple[threaded-ChunkCombinedOffset-False] _____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', line_type = <LineType.ChunkCombinedOffset: 104>
multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_simple(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:119: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 119, in test_lines_simple
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_____________ test_lines_simple[threaded-ChunkCombinedOffset-True] _____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', line_type = <LineType.ChunkCombinedOffset: 104>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_simple(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:119: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 119, in test_lines_simple
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______________ test_lines_simple[threaded-ChunkCombinedNan-False] ______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', line_type = <LineType.ChunkCombinedNan: 105>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_simple(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:119: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 119, in test_lines_simple
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______________ test_lines_simple[threaded-ChunkCombinedNan-True] _______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', line_type = <LineType.ChunkCombinedNan: 105>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_simple(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:119: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 119, in test_lines_simple
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_____________ test_lines_simple_chunk[mpl2005-SeparateCode-False] ______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'mpl2005', line_type = <LineType.SeparateCode: 102>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_simple_chunk(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:147: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 147, in test_lines_simple_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______________ test_lines_simple_chunk[mpl2005-SeparateCode-True] ______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'mpl2005', line_type = <LineType.SeparateCode: 102>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_simple_chunk(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:147: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 147, in test_lines_simple_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_____________ test_lines_simple_chunk[mpl2014-SeparateCode-False] ______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'mpl2014', line_type = <LineType.SeparateCode: 102>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_simple_chunk(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:147: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 147, in test_lines_simple_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______________ test_lines_simple_chunk[mpl2014-SeparateCode-True] ______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'mpl2014', line_type = <LineType.SeparateCode: 102>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_simple_chunk(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:147: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 147, in test_lines_simple_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
________________ test_lines_simple_chunk[serial-Separate-False] ________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', line_type = <LineType.Separate: 101>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_simple_chunk(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:147: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 147, in test_lines_simple_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
________________ test_lines_simple_chunk[serial-Separate-True] _________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', line_type = <LineType.Separate: 101>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_simple_chunk(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:147: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 147, in test_lines_simple_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______________ test_lines_simple_chunk[serial-SeparateCode-False] ______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', line_type = <LineType.SeparateCode: 102>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_simple_chunk(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:147: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 147, in test_lines_simple_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______________ test_lines_simple_chunk[serial-SeparateCode-True] _______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', line_type = <LineType.SeparateCode: 102>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_simple_chunk(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:147: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 147, in test_lines_simple_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
___________ test_lines_simple_chunk[serial-ChunkCombinedCode-False] ____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', line_type = <LineType.ChunkCombinedCode: 103>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_simple_chunk(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:147: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 147, in test_lines_simple_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
____________ test_lines_simple_chunk[serial-ChunkCombinedCode-True] ____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', line_type = <LineType.ChunkCombinedCode: 103>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_simple_chunk(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:147: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 147, in test_lines_simple_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__________ test_lines_simple_chunk[serial-ChunkCombinedOffset-False] ___________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', line_type = <LineType.ChunkCombinedOffset: 104>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_simple_chunk(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:147: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 147, in test_lines_simple_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
___________ test_lines_simple_chunk[serial-ChunkCombinedOffset-True] ___________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', line_type = <LineType.ChunkCombinedOffset: 104>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_simple_chunk(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:147: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 147, in test_lines_simple_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
____________ test_lines_simple_chunk[serial-ChunkCombinedNan-False] ____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', line_type = <LineType.ChunkCombinedNan: 105>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_simple_chunk(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:147: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 147, in test_lines_simple_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
____________ test_lines_simple_chunk[serial-ChunkCombinedNan-True] _____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', line_type = <LineType.ChunkCombinedNan: 105>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_simple_chunk(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:147: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 147, in test_lines_simple_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_______________ test_lines_simple_chunk[threaded-Separate-False] _______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', line_type = <LineType.Separate: 101>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_simple_chunk(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:147: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 147, in test_lines_simple_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_______________ test_lines_simple_chunk[threaded-Separate-True] ________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', line_type = <LineType.Separate: 101>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_simple_chunk(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:147: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 147, in test_lines_simple_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_____________ test_lines_simple_chunk[threaded-SeparateCode-False] _____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', line_type = <LineType.SeparateCode: 102>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_simple_chunk(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:147: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 147, in test_lines_simple_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_____________ test_lines_simple_chunk[threaded-SeparateCode-True] ______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', line_type = <LineType.SeparateCode: 102>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_simple_chunk(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:147: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 147, in test_lines_simple_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__________ test_lines_simple_chunk[threaded-ChunkCombinedCode-False] ___________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', line_type = <LineType.ChunkCombinedCode: 103>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_simple_chunk(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:147: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 147, in test_lines_simple_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
___________ test_lines_simple_chunk[threaded-ChunkCombinedCode-True] ___________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', line_type = <LineType.ChunkCombinedCode: 103>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_simple_chunk(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:147: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 147, in test_lines_simple_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________ test_lines_simple_chunk[threaded-ChunkCombinedOffset-False] __________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', line_type = <LineType.ChunkCombinedOffset: 104>
multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_simple_chunk(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:147: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 147, in test_lines_simple_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__________ test_lines_simple_chunk[threaded-ChunkCombinedOffset-True] __________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', line_type = <LineType.ChunkCombinedOffset: 104>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_simple_chunk(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:147: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 147, in test_lines_simple_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
___________ test_lines_simple_chunk[threaded-ChunkCombinedNan-False] ___________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', line_type = <LineType.ChunkCombinedNan: 105>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_simple_chunk(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:147: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 147, in test_lines_simple_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
___________ test_lines_simple_chunk[threaded-ChunkCombinedNan-True] ____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', line_type = <LineType.ChunkCombinedNan: 105>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_simple_chunk(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:147: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 147, in test_lines_simple_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________________ test_lines_simple_chunk_threads[2-Separate] __________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
line_type = <LineType.Separate: 101>, thread_count = 2
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("line_type", LineType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_lines_simple_chunk_threads(line_type: LineType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:177: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 177, in test_lines_simple_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_______________ test_lines_simple_chunk_threads[2-SeparateCode] ________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
line_type = <LineType.SeparateCode: 102>, thread_count = 2
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("line_type", LineType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_lines_simple_chunk_threads(line_type: LineType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:177: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 177, in test_lines_simple_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_____________ test_lines_simple_chunk_threads[2-ChunkCombinedCode] _____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
line_type = <LineType.ChunkCombinedCode: 103>, thread_count = 2
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("line_type", LineType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_lines_simple_chunk_threads(line_type: LineType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:177: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 177, in test_lines_simple_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
____________ test_lines_simple_chunk_threads[2-ChunkCombinedOffset] ____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
line_type = <LineType.ChunkCombinedOffset: 104>, thread_count = 2
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("line_type", LineType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_lines_simple_chunk_threads(line_type: LineType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:177: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 177, in test_lines_simple_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_____________ test_lines_simple_chunk_threads[2-ChunkCombinedNan] ______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
line_type = <LineType.ChunkCombinedNan: 105>, thread_count = 2
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("line_type", LineType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_lines_simple_chunk_threads(line_type: LineType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:177: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 177, in test_lines_simple_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________________ test_lines_simple_chunk_threads[3-Separate] __________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
line_type = <LineType.Separate: 101>, thread_count = 3
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("line_type", LineType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_lines_simple_chunk_threads(line_type: LineType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:177: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 177, in test_lines_simple_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_______________ test_lines_simple_chunk_threads[3-SeparateCode] ________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
line_type = <LineType.SeparateCode: 102>, thread_count = 3
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("line_type", LineType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_lines_simple_chunk_threads(line_type: LineType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:177: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 177, in test_lines_simple_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_____________ test_lines_simple_chunk_threads[3-ChunkCombinedCode] _____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
line_type = <LineType.ChunkCombinedCode: 103>, thread_count = 3
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("line_type", LineType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_lines_simple_chunk_threads(line_type: LineType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:177: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 177, in test_lines_simple_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
____________ test_lines_simple_chunk_threads[3-ChunkCombinedOffset] ____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
line_type = <LineType.ChunkCombinedOffset: 104>, thread_count = 3
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("line_type", LineType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_lines_simple_chunk_threads(line_type: LineType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:177: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 177, in test_lines_simple_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_____________ test_lines_simple_chunk_threads[3-ChunkCombinedNan] ______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
line_type = <LineType.ChunkCombinedNan: 105>, thread_count = 3
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("line_type", LineType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_lines_simple_chunk_threads(line_type: LineType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:177: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 177, in test_lines_simple_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
____________ test_lines_simple_no_corner_mask[mpl2005-SeparateCode] ____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'mpl2005', line_type = <LineType.SeparateCode: 102>
    @pytest.mark.image
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_simple_no_corner_mask(name: str, line_type: LineType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:201: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 201, in test_lines_simple_no_corner_mask
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
____________ test_lines_simple_no_corner_mask[mpl2014-SeparateCode] ____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'mpl2014', line_type = <LineType.SeparateCode: 102>
    @pytest.mark.image
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_simple_no_corner_mask(name: str, line_type: LineType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:201: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 201, in test_lines_simple_no_corner_mask
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______________ test_lines_simple_no_corner_mask[serial-Separate] _______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', line_type = <LineType.Separate: 101>
    @pytest.mark.image
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_simple_no_corner_mask(name: str, line_type: LineType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:201: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 201, in test_lines_simple_no_corner_mask
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
____________ test_lines_simple_no_corner_mask[serial-SeparateCode] _____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', line_type = <LineType.SeparateCode: 102>
    @pytest.mark.image
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_simple_no_corner_mask(name: str, line_type: LineType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:201: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 201, in test_lines_simple_no_corner_mask
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__________ test_lines_simple_no_corner_mask[serial-ChunkCombinedCode] __________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', line_type = <LineType.ChunkCombinedCode: 103>
    @pytest.mark.image
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_simple_no_corner_mask(name: str, line_type: LineType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:201: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 201, in test_lines_simple_no_corner_mask
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________ test_lines_simple_no_corner_mask[serial-ChunkCombinedOffset] _________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', line_type = <LineType.ChunkCombinedOffset: 104>
    @pytest.mark.image
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_simple_no_corner_mask(name: str, line_type: LineType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:201: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 201, in test_lines_simple_no_corner_mask
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__________ test_lines_simple_no_corner_mask[serial-ChunkCombinedNan] ___________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', line_type = <LineType.ChunkCombinedNan: 105>
    @pytest.mark.image
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_simple_no_corner_mask(name: str, line_type: LineType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:201: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 201, in test_lines_simple_no_corner_mask
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_____________ test_lines_simple_no_corner_mask[threaded-Separate] ______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', line_type = <LineType.Separate: 101>
    @pytest.mark.image
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_simple_no_corner_mask(name: str, line_type: LineType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:201: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 201, in test_lines_simple_no_corner_mask
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
___________ test_lines_simple_no_corner_mask[threaded-SeparateCode] ____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', line_type = <LineType.SeparateCode: 102>
    @pytest.mark.image
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_simple_no_corner_mask(name: str, line_type: LineType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:201: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 201, in test_lines_simple_no_corner_mask
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________ test_lines_simple_no_corner_mask[threaded-ChunkCombinedCode] _________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', line_type = <LineType.ChunkCombinedCode: 103>
    @pytest.mark.image
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_simple_no_corner_mask(name: str, line_type: LineType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:201: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 201, in test_lines_simple_no_corner_mask
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
________ test_lines_simple_no_corner_mask[threaded-ChunkCombinedOffset] ________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', line_type = <LineType.ChunkCombinedOffset: 104>
    @pytest.mark.image
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_simple_no_corner_mask(name: str, line_type: LineType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:201: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 201, in test_lines_simple_no_corner_mask
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________ test_lines_simple_no_corner_mask[threaded-ChunkCombinedNan] __________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', line_type = <LineType.ChunkCombinedNan: 105>
    @pytest.mark.image
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_simple_no_corner_mask(name: str, line_type: LineType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:201: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 201, in test_lines_simple_no_corner_mask
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________ test_lines_simple_no_corner_mask_chunk[mpl2005-SeparateCode] _________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'mpl2005', line_type = <LineType.SeparateCode: 102>
    @pytest.mark.image
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_simple_no_corner_mask_chunk(name: str, line_type: LineType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:223: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 223, in test_lines_simple_no_corner_mask_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________ test_lines_simple_no_corner_mask_chunk[mpl2014-SeparateCode] _________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'mpl2014', line_type = <LineType.SeparateCode: 102>
    @pytest.mark.image
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_simple_no_corner_mask_chunk(name: str, line_type: LineType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:223: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 223, in test_lines_simple_no_corner_mask_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
___________ test_lines_simple_no_corner_mask_chunk[serial-Separate] ____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', line_type = <LineType.Separate: 101>
    @pytest.mark.image
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_simple_no_corner_mask_chunk(name: str, line_type: LineType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:223: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 223, in test_lines_simple_no_corner_mask_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________ test_lines_simple_no_corner_mask_chunk[serial-SeparateCode] __________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', line_type = <LineType.SeparateCode: 102>
    @pytest.mark.image
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_simple_no_corner_mask_chunk(name: str, line_type: LineType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:223: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 223, in test_lines_simple_no_corner_mask_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_______ test_lines_simple_no_corner_mask_chunk[serial-ChunkCombinedCode] _______
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', line_type = <LineType.ChunkCombinedCode: 103>
    @pytest.mark.image
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_simple_no_corner_mask_chunk(name: str, line_type: LineType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:223: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 223, in test_lines_simple_no_corner_mask_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______ test_lines_simple_no_corner_mask_chunk[serial-ChunkCombinedOffset] ______
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', line_type = <LineType.ChunkCombinedOffset: 104>
    @pytest.mark.image
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_simple_no_corner_mask_chunk(name: str, line_type: LineType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:223: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 223, in test_lines_simple_no_corner_mask_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_______ test_lines_simple_no_corner_mask_chunk[serial-ChunkCombinedNan] ________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', line_type = <LineType.ChunkCombinedNan: 105>
    @pytest.mark.image
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_simple_no_corner_mask_chunk(name: str, line_type: LineType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:223: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 223, in test_lines_simple_no_corner_mask_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__________ test_lines_simple_no_corner_mask_chunk[threaded-Separate] ___________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', line_type = <LineType.Separate: 101>
    @pytest.mark.image
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_simple_no_corner_mask_chunk(name: str, line_type: LineType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:223: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 223, in test_lines_simple_no_corner_mask_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
________ test_lines_simple_no_corner_mask_chunk[threaded-SeparateCode] _________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', line_type = <LineType.SeparateCode: 102>
    @pytest.mark.image
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_simple_no_corner_mask_chunk(name: str, line_type: LineType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:223: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 223, in test_lines_simple_no_corner_mask_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______ test_lines_simple_no_corner_mask_chunk[threaded-ChunkCombinedCode] ______
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', line_type = <LineType.ChunkCombinedCode: 103>
    @pytest.mark.image
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_simple_no_corner_mask_chunk(name: str, line_type: LineType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:223: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 223, in test_lines_simple_no_corner_mask_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_____ test_lines_simple_no_corner_mask_chunk[threaded-ChunkCombinedOffset] _____
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', line_type = <LineType.ChunkCombinedOffset: 104>
    @pytest.mark.image
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_simple_no_corner_mask_chunk(name: str, line_type: LineType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:223: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 223, in test_lines_simple_no_corner_mask_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______ test_lines_simple_no_corner_mask_chunk[threaded-ChunkCombinedNan] _______
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', line_type = <LineType.ChunkCombinedNan: 105>
    @pytest.mark.image
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_simple_no_corner_mask_chunk(name: str, line_type: LineType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:223: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 223, in test_lines_simple_no_corner_mask_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__________ test_lines_simple_no_corner_mask_chunk_threads[2-Separate] __________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
line_type = <LineType.Separate: 101>, thread_count = 2
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("line_type", LineType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_lines_simple_no_corner_mask_chunk_threads(line_type: LineType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:249: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 249, in test_lines_simple_no_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
________ test_lines_simple_no_corner_mask_chunk_threads[2-SeparateCode] ________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
line_type = <LineType.SeparateCode: 102>, thread_count = 2
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("line_type", LineType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_lines_simple_no_corner_mask_chunk_threads(line_type: LineType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:249: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 249, in test_lines_simple_no_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_____ test_lines_simple_no_corner_mask_chunk_threads[2-ChunkCombinedCode] ______
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
line_type = <LineType.ChunkCombinedCode: 103>, thread_count = 2
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("line_type", LineType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_lines_simple_no_corner_mask_chunk_threads(line_type: LineType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:249: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 249, in test_lines_simple_no_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
____ test_lines_simple_no_corner_mask_chunk_threads[2-ChunkCombinedOffset] _____
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
line_type = <LineType.ChunkCombinedOffset: 104>, thread_count = 2
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("line_type", LineType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_lines_simple_no_corner_mask_chunk_threads(line_type: LineType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:249: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 249, in test_lines_simple_no_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______ test_lines_simple_no_corner_mask_chunk_threads[2-ChunkCombinedNan] ______
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
line_type = <LineType.ChunkCombinedNan: 105>, thread_count = 2
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("line_type", LineType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_lines_simple_no_corner_mask_chunk_threads(line_type: LineType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:249: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 249, in test_lines_simple_no_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__________ test_lines_simple_no_corner_mask_chunk_threads[3-Separate] __________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
line_type = <LineType.Separate: 101>, thread_count = 3
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("line_type", LineType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_lines_simple_no_corner_mask_chunk_threads(line_type: LineType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:249: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 249, in test_lines_simple_no_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
________ test_lines_simple_no_corner_mask_chunk_threads[3-SeparateCode] ________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
line_type = <LineType.SeparateCode: 102>, thread_count = 3
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("line_type", LineType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_lines_simple_no_corner_mask_chunk_threads(line_type: LineType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:249: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 249, in test_lines_simple_no_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_____ test_lines_simple_no_corner_mask_chunk_threads[3-ChunkCombinedCode] ______
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
line_type = <LineType.ChunkCombinedCode: 103>, thread_count = 3
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("line_type", LineType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_lines_simple_no_corner_mask_chunk_threads(line_type: LineType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:249: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 249, in test_lines_simple_no_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
____ test_lines_simple_no_corner_mask_chunk_threads[3-ChunkCombinedOffset] _____
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
line_type = <LineType.ChunkCombinedOffset: 104>, thread_count = 3
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("line_type", LineType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_lines_simple_no_corner_mask_chunk_threads(line_type: LineType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:249: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 249, in test_lines_simple_no_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______ test_lines_simple_no_corner_mask_chunk_threads[3-ChunkCombinedNan] ______
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
line_type = <LineType.ChunkCombinedNan: 105>, thread_count = 3
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("line_type", LineType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_lines_simple_no_corner_mask_chunk_threads(line_type: LineType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:249: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 249, in test_lines_simple_no_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
____________________ test_lines_simple_corner_mask[mpl2014] ____________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'mpl2014'
    @pytest.mark.image
    @pytest.mark.parametrize("name", util_test.corner_mask_names())
    def test_lines_simple_corner_mask(name: str) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:276: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 276, in test_lines_simple_corner_mask
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
____________________ test_lines_simple_corner_mask[serial] _____________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial'
    @pytest.mark.image
    @pytest.mark.parametrize("name", util_test.corner_mask_names())
    def test_lines_simple_corner_mask(name: str) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:276: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 276, in test_lines_simple_corner_mask
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
___________________ test_lines_simple_corner_mask[threaded] ____________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded'
    @pytest.mark.image
    @pytest.mark.parametrize("name", util_test.corner_mask_names())
    def test_lines_simple_corner_mask(name: str) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:276: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 276, in test_lines_simple_corner_mask
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________________ test_lines_simple_corner_mask_chunk[mpl2014] _________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'mpl2014'
    @pytest.mark.image
    @pytest.mark.parametrize("name", util_test.corner_mask_names())
    def test_lines_simple_corner_mask_chunk(name: str) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:299: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 299, in test_lines_simple_corner_mask_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________________ test_lines_simple_corner_mask_chunk[serial] __________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial'
    @pytest.mark.image
    @pytest.mark.parametrize("name", util_test.corner_mask_names())
    def test_lines_simple_corner_mask_chunk(name: str) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:299: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 299, in test_lines_simple_corner_mask_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
________________ test_lines_simple_corner_mask_chunk[threaded] _________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded'
    @pytest.mark.image
    @pytest.mark.parametrize("name", util_test.corner_mask_names())
    def test_lines_simple_corner_mask_chunk(name: str) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:299: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 299, in test_lines_simple_corner_mask_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
___________ test_lines_simple_corner_mask_chunk_threads[2-Separate] ____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
line_type = <LineType.Separate: 101>, thread_count = 2
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("line_type", LineType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_lines_simple_corner_mask_chunk_threads(line_type: LineType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:326: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 326, in test_lines_simple_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________ test_lines_simple_corner_mask_chunk_threads[2-SeparateCode] __________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
line_type = <LineType.SeparateCode: 102>, thread_count = 2
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("line_type", LineType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_lines_simple_corner_mask_chunk_threads(line_type: LineType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:326: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 326, in test_lines_simple_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_______ test_lines_simple_corner_mask_chunk_threads[2-ChunkCombinedCode] _______
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
line_type = <LineType.ChunkCombinedCode: 103>, thread_count = 2
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("line_type", LineType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_lines_simple_corner_mask_chunk_threads(line_type: LineType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:326: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 326, in test_lines_simple_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______ test_lines_simple_corner_mask_chunk_threads[2-ChunkCombinedOffset] ______
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
line_type = <LineType.ChunkCombinedOffset: 104>, thread_count = 2
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("line_type", LineType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_lines_simple_corner_mask_chunk_threads(line_type: LineType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:326: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 326, in test_lines_simple_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_______ test_lines_simple_corner_mask_chunk_threads[2-ChunkCombinedNan] ________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
line_type = <LineType.ChunkCombinedNan: 105>, thread_count = 2
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("line_type", LineType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_lines_simple_corner_mask_chunk_threads(line_type: LineType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:326: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 326, in test_lines_simple_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
___________ test_lines_simple_corner_mask_chunk_threads[3-Separate] ____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
line_type = <LineType.Separate: 101>, thread_count = 3
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("line_type", LineType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_lines_simple_corner_mask_chunk_threads(line_type: LineType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:326: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 326, in test_lines_simple_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________ test_lines_simple_corner_mask_chunk_threads[3-SeparateCode] __________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
line_type = <LineType.SeparateCode: 102>, thread_count = 3
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("line_type", LineType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_lines_simple_corner_mask_chunk_threads(line_type: LineType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:326: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 326, in test_lines_simple_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_______ test_lines_simple_corner_mask_chunk_threads[3-ChunkCombinedCode] _______
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
line_type = <LineType.ChunkCombinedCode: 103>, thread_count = 3
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("line_type", LineType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_lines_simple_corner_mask_chunk_threads(line_type: LineType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:326: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 326, in test_lines_simple_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______ test_lines_simple_corner_mask_chunk_threads[3-ChunkCombinedOffset] ______
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
line_type = <LineType.ChunkCombinedOffset: 104>, thread_count = 3
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("line_type", LineType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_lines_simple_corner_mask_chunk_threads(line_type: LineType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:326: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 326, in test_lines_simple_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_______ test_lines_simple_corner_mask_chunk_threads[3-ChunkCombinedNan] ________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
line_type = <LineType.ChunkCombinedNan: 105>, thread_count = 3
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("line_type", LineType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_lines_simple_corner_mask_chunk_threads(line_type: LineType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:326: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 326, in test_lines_simple_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
____________________ test_lines_simple_quad_as_tri[serial] _____________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial'
    @pytest.mark.image
    @pytest.mark.parametrize("name", util_test.quad_as_tri_names())
    def test_lines_simple_quad_as_tri(name: str) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:353: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 353, in test_lines_simple_quad_as_tri
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
___________________ test_lines_simple_quad_as_tri[threaded] ____________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded'
    @pytest.mark.image
    @pytest.mark.parametrize("name", util_test.quad_as_tri_names())
    def test_lines_simple_quad_as_tri(name: str) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:353: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 353, in test_lines_simple_quad_as_tri
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
________________ test_lines_random[mpl2005-SeparateCode-False] _________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'mpl2005', line_type = <LineType.SeparateCode: 102>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_random(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:376: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 376, in test_lines_random
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________________ test_lines_random[mpl2005-SeparateCode-True] _________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'mpl2005', line_type = <LineType.SeparateCode: 102>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_random(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:376: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 376, in test_lines_random
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
________________ test_lines_random[mpl2014-SeparateCode-False] _________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'mpl2014', line_type = <LineType.SeparateCode: 102>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_random(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:376: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 376, in test_lines_random
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________________ test_lines_random[mpl2014-SeparateCode-True] _________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'mpl2014', line_type = <LineType.SeparateCode: 102>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_random(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:376: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 376, in test_lines_random
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
___________________ test_lines_random[serial-Separate-False] ___________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', line_type = <LineType.Separate: 101>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_random(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:376: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 376, in test_lines_random
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
___________________ test_lines_random[serial-Separate-True] ____________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', line_type = <LineType.Separate: 101>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_random(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:376: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 376, in test_lines_random
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________________ test_lines_random[serial-SeparateCode-False] _________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', line_type = <LineType.SeparateCode: 102>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_random(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:376: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 376, in test_lines_random
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________________ test_lines_random[serial-SeparateCode-True] __________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', line_type = <LineType.SeparateCode: 102>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_random(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:376: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 376, in test_lines_random
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______________ test_lines_random[serial-ChunkCombinedCode-False] _______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', line_type = <LineType.ChunkCombinedCode: 103>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_random(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:376: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 376, in test_lines_random
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_______________ test_lines_random[serial-ChunkCombinedCode-True] _______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', line_type = <LineType.ChunkCombinedCode: 103>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_random(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:376: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 376, in test_lines_random
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_____________ test_lines_random[serial-ChunkCombinedOffset-False] ______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', line_type = <LineType.ChunkCombinedOffset: 104>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_random(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:376: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 376, in test_lines_random
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______________ test_lines_random[serial-ChunkCombinedOffset-True] ______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', line_type = <LineType.ChunkCombinedOffset: 104>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_random(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:376: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 376, in test_lines_random
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_______________ test_lines_random[serial-ChunkCombinedNan-False] _______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', line_type = <LineType.ChunkCombinedNan: 105>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_random(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:376: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 376, in test_lines_random
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_______________ test_lines_random[serial-ChunkCombinedNan-True] ________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', line_type = <LineType.ChunkCombinedNan: 105>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_random(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:376: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 376, in test_lines_random
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__________________ test_lines_random[threaded-Separate-False] __________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', line_type = <LineType.Separate: 101>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_random(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:376: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 376, in test_lines_random
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__________________ test_lines_random[threaded-Separate-True] ___________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', line_type = <LineType.Separate: 101>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_random(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:376: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 376, in test_lines_random
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
________________ test_lines_random[threaded-SeparateCode-False] ________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', line_type = <LineType.SeparateCode: 102>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_random(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:376: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 376, in test_lines_random
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
________________ test_lines_random[threaded-SeparateCode-True] _________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', line_type = <LineType.SeparateCode: 102>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_random(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:376: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 376, in test_lines_random
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_____________ test_lines_random[threaded-ChunkCombinedCode-False] ______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', line_type = <LineType.ChunkCombinedCode: 103>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_random(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:376: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 376, in test_lines_random
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______________ test_lines_random[threaded-ChunkCombinedCode-True] ______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', line_type = <LineType.ChunkCombinedCode: 103>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_random(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:376: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 376, in test_lines_random
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
____________ test_lines_random[threaded-ChunkCombinedOffset-False] _____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', line_type = <LineType.ChunkCombinedOffset: 104>
multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_random(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:376: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 376, in test_lines_random
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_____________ test_lines_random[threaded-ChunkCombinedOffset-True] _____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', line_type = <LineType.ChunkCombinedOffset: 104>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_random(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:376: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 376, in test_lines_random
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______________ test_lines_random[threaded-ChunkCombinedNan-False] ______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', line_type = <LineType.ChunkCombinedNan: 105>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_random(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:376: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 376, in test_lines_random
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______________ test_lines_random[threaded-ChunkCombinedNan-True] _______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', line_type = <LineType.ChunkCombinedNan: 105>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_random(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:376: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 376, in test_lines_random
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_____________ test_lines_random_chunk[mpl2005-SeparateCode-False] ______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'mpl2005', line_type = <LineType.SeparateCode: 102>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_random_chunk(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:406: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 406, in test_lines_random_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______________ test_lines_random_chunk[mpl2005-SeparateCode-True] ______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'mpl2005', line_type = <LineType.SeparateCode: 102>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_random_chunk(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:406: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 406, in test_lines_random_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_____________ test_lines_random_chunk[mpl2014-SeparateCode-False] ______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'mpl2014', line_type = <LineType.SeparateCode: 102>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_random_chunk(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:406: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 406, in test_lines_random_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______________ test_lines_random_chunk[mpl2014-SeparateCode-True] ______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'mpl2014', line_type = <LineType.SeparateCode: 102>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_random_chunk(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:406: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 406, in test_lines_random_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
________________ test_lines_random_chunk[serial-Separate-False] ________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', line_type = <LineType.Separate: 101>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_random_chunk(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:406: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 406, in test_lines_random_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
________________ test_lines_random_chunk[serial-Separate-True] _________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', line_type = <LineType.Separate: 101>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_random_chunk(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:406: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 406, in test_lines_random_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______________ test_lines_random_chunk[serial-SeparateCode-False] ______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', line_type = <LineType.SeparateCode: 102>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_random_chunk(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:406: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 406, in test_lines_random_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______________ test_lines_random_chunk[serial-SeparateCode-True] _______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', line_type = <LineType.SeparateCode: 102>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_random_chunk(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:406: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 406, in test_lines_random_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
___________ test_lines_random_chunk[serial-ChunkCombinedCode-False] ____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', line_type = <LineType.ChunkCombinedCode: 103>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_random_chunk(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:406: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 406, in test_lines_random_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
____________ test_lines_random_chunk[serial-ChunkCombinedCode-True] ____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', line_type = <LineType.ChunkCombinedCode: 103>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_random_chunk(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:406: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 406, in test_lines_random_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__________ test_lines_random_chunk[serial-ChunkCombinedOffset-False] ___________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', line_type = <LineType.ChunkCombinedOffset: 104>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_random_chunk(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:406: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 406, in test_lines_random_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
___________ test_lines_random_chunk[serial-ChunkCombinedOffset-True] ___________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', line_type = <LineType.ChunkCombinedOffset: 104>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_random_chunk(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:406: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 406, in test_lines_random_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
____________ test_lines_random_chunk[serial-ChunkCombinedNan-False] ____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', line_type = <LineType.ChunkCombinedNan: 105>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_random_chunk(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:406: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 406, in test_lines_random_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
____________ test_lines_random_chunk[serial-ChunkCombinedNan-True] _____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', line_type = <LineType.ChunkCombinedNan: 105>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_random_chunk(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:406: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 406, in test_lines_random_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_______________ test_lines_random_chunk[threaded-Separate-False] _______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', line_type = <LineType.Separate: 101>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_random_chunk(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:406: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 406, in test_lines_random_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_______________ test_lines_random_chunk[threaded-Separate-True] ________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', line_type = <LineType.Separate: 101>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_random_chunk(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:406: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 406, in test_lines_random_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_____________ test_lines_random_chunk[threaded-SeparateCode-False] _____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', line_type = <LineType.SeparateCode: 102>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_random_chunk(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:406: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 406, in test_lines_random_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_____________ test_lines_random_chunk[threaded-SeparateCode-True] ______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', line_type = <LineType.SeparateCode: 102>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_random_chunk(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:406: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 406, in test_lines_random_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__________ test_lines_random_chunk[threaded-ChunkCombinedCode-False] ___________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', line_type = <LineType.ChunkCombinedCode: 103>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_random_chunk(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:406: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 406, in test_lines_random_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
___________ test_lines_random_chunk[threaded-ChunkCombinedCode-True] ___________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', line_type = <LineType.ChunkCombinedCode: 103>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_random_chunk(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:406: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 406, in test_lines_random_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________ test_lines_random_chunk[threaded-ChunkCombinedOffset-False] __________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', line_type = <LineType.ChunkCombinedOffset: 104>
multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_random_chunk(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:406: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 406, in test_lines_random_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__________ test_lines_random_chunk[threaded-ChunkCombinedOffset-True] __________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', line_type = <LineType.ChunkCombinedOffset: 104>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_random_chunk(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:406: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 406, in test_lines_random_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
___________ test_lines_random_chunk[threaded-ChunkCombinedNan-False] ___________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', line_type = <LineType.ChunkCombinedNan: 105>, multi = False
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_random_chunk(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:406: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 406, in test_lines_random_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
___________ test_lines_random_chunk[threaded-ChunkCombinedNan-True] ____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', line_type = <LineType.ChunkCombinedNan: 105>, multi = True
    @pytest.mark.image
    @pytest.mark.parametrize("multi", [False, True])
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_random_chunk(name: str, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:406: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 406, in test_lines_random_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________________ test_lines_random_chunk_threads[2-Separate] __________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
line_type = <LineType.Separate: 101>, thread_count = 2
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("line_type", LineType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_lines_random_chunk_threads(line_type: LineType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:445: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 445, in test_lines_random_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_______________ test_lines_random_chunk_threads[2-SeparateCode] ________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
line_type = <LineType.SeparateCode: 102>, thread_count = 2
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("line_type", LineType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_lines_random_chunk_threads(line_type: LineType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:445: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 445, in test_lines_random_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_____________ test_lines_random_chunk_threads[2-ChunkCombinedCode] _____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
line_type = <LineType.ChunkCombinedCode: 103>, thread_count = 2
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("line_type", LineType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_lines_random_chunk_threads(line_type: LineType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:445: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 445, in test_lines_random_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
____________ test_lines_random_chunk_threads[2-ChunkCombinedOffset] ____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
line_type = <LineType.ChunkCombinedOffset: 104>, thread_count = 2
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("line_type", LineType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_lines_random_chunk_threads(line_type: LineType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:445: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 445, in test_lines_random_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_____________ test_lines_random_chunk_threads[2-ChunkCombinedNan] ______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
line_type = <LineType.ChunkCombinedNan: 105>, thread_count = 2
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("line_type", LineType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_lines_random_chunk_threads(line_type: LineType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:445: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 445, in test_lines_random_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________________ test_lines_random_chunk_threads[3-Separate] __________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
line_type = <LineType.Separate: 101>, thread_count = 3
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("line_type", LineType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_lines_random_chunk_threads(line_type: LineType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:445: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 445, in test_lines_random_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_______________ test_lines_random_chunk_threads[3-SeparateCode] ________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
line_type = <LineType.SeparateCode: 102>, thread_count = 3
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("line_type", LineType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_lines_random_chunk_threads(line_type: LineType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:445: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 445, in test_lines_random_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_____________ test_lines_random_chunk_threads[3-ChunkCombinedCode] _____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
line_type = <LineType.ChunkCombinedCode: 103>, thread_count = 3
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("line_type", LineType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_lines_random_chunk_threads(line_type: LineType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:445: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 445, in test_lines_random_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
____________ test_lines_random_chunk_threads[3-ChunkCombinedOffset] ____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
line_type = <LineType.ChunkCombinedOffset: 104>, thread_count = 3
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("line_type", LineType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_lines_random_chunk_threads(line_type: LineType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:445: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 445, in test_lines_random_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_____________ test_lines_random_chunk_threads[3-ChunkCombinedNan] ______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
line_type = <LineType.ChunkCombinedNan: 105>, thread_count = 3
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("line_type", LineType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_lines_random_chunk_threads(line_type: LineType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:445: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 445, in test_lines_random_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
____________ test_lines_random_no_corner_mask[mpl2005-SeparateCode] ____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'mpl2005', line_type = <LineType.SeparateCode: 102>
    @pytest.mark.image
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_random_no_corner_mask(name: str, line_type: LineType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:471: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 471, in test_lines_random_no_corner_mask
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
____________ test_lines_random_no_corner_mask[mpl2014-SeparateCode] ____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'mpl2014', line_type = <LineType.SeparateCode: 102>
    @pytest.mark.image
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_random_no_corner_mask(name: str, line_type: LineType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:471: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 471, in test_lines_random_no_corner_mask
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______________ test_lines_random_no_corner_mask[serial-Separate] _______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', line_type = <LineType.Separate: 101>
    @pytest.mark.image
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_random_no_corner_mask(name: str, line_type: LineType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:471: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 471, in test_lines_random_no_corner_mask
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
____________ test_lines_random_no_corner_mask[serial-SeparateCode] _____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', line_type = <LineType.SeparateCode: 102>
    @pytest.mark.image
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_random_no_corner_mask(name: str, line_type: LineType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:471: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 471, in test_lines_random_no_corner_mask
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__________ test_lines_random_no_corner_mask[serial-ChunkCombinedCode] __________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', line_type = <LineType.ChunkCombinedCode: 103>
    @pytest.mark.image
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_random_no_corner_mask(name: str, line_type: LineType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:471: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 471, in test_lines_random_no_corner_mask
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________ test_lines_random_no_corner_mask[serial-ChunkCombinedOffset] _________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', line_type = <LineType.ChunkCombinedOffset: 104>
    @pytest.mark.image
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_random_no_corner_mask(name: str, line_type: LineType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:471: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 471, in test_lines_random_no_corner_mask
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__________ test_lines_random_no_corner_mask[serial-ChunkCombinedNan] ___________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', line_type = <LineType.ChunkCombinedNan: 105>
    @pytest.mark.image
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_random_no_corner_mask(name: str, line_type: LineType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:471: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 471, in test_lines_random_no_corner_mask
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_____________ test_lines_random_no_corner_mask[threaded-Separate] ______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', line_type = <LineType.Separate: 101>
    @pytest.mark.image
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_random_no_corner_mask(name: str, line_type: LineType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:471: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 471, in test_lines_random_no_corner_mask
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
___________ test_lines_random_no_corner_mask[threaded-SeparateCode] ____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', line_type = <LineType.SeparateCode: 102>
    @pytest.mark.image
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_random_no_corner_mask(name: str, line_type: LineType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:471: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 471, in test_lines_random_no_corner_mask
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________ test_lines_random_no_corner_mask[threaded-ChunkCombinedCode] _________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', line_type = <LineType.ChunkCombinedCode: 103>
    @pytest.mark.image
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_random_no_corner_mask(name: str, line_type: LineType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:471: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 471, in test_lines_random_no_corner_mask
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
________ test_lines_random_no_corner_mask[threaded-ChunkCombinedOffset] ________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', line_type = <LineType.ChunkCombinedOffset: 104>
    @pytest.mark.image
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_random_no_corner_mask(name: str, line_type: LineType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:471: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 471, in test_lines_random_no_corner_mask
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________ test_lines_random_no_corner_mask[threaded-ChunkCombinedNan] __________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', line_type = <LineType.ChunkCombinedNan: 105>
    @pytest.mark.image
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_random_no_corner_mask(name: str, line_type: LineType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:471: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 471, in test_lines_random_no_corner_mask
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________ test_lines_random_no_corner_mask_chunk[mpl2005-SeparateCode] _________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'mpl2005', line_type = <LineType.SeparateCode: 102>
    @pytest.mark.image
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_random_no_corner_mask_chunk(name: str, line_type: LineType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:493: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 493, in test_lines_random_no_corner_mask_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________ test_lines_random_no_corner_mask_chunk[mpl2014-SeparateCode] _________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'mpl2014', line_type = <LineType.SeparateCode: 102>
    @pytest.mark.image
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_random_no_corner_mask_chunk(name: str, line_type: LineType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:493: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 493, in test_lines_random_no_corner_mask_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
___________ test_lines_random_no_corner_mask_chunk[serial-Separate] ____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', line_type = <LineType.Separate: 101>
    @pytest.mark.image
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_random_no_corner_mask_chunk(name: str, line_type: LineType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:493: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 493, in test_lines_random_no_corner_mask_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________ test_lines_random_no_corner_mask_chunk[serial-SeparateCode] __________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', line_type = <LineType.SeparateCode: 102>
    @pytest.mark.image
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_random_no_corner_mask_chunk(name: str, line_type: LineType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:493: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 493, in test_lines_random_no_corner_mask_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_______ test_lines_random_no_corner_mask_chunk[serial-ChunkCombinedCode] _______
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', line_type = <LineType.ChunkCombinedCode: 103>
    @pytest.mark.image
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_random_no_corner_mask_chunk(name: str, line_type: LineType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:493: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 493, in test_lines_random_no_corner_mask_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______ test_lines_random_no_corner_mask_chunk[serial-ChunkCombinedOffset] ______
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', line_type = <LineType.ChunkCombinedOffset: 104>
    @pytest.mark.image
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_random_no_corner_mask_chunk(name: str, line_type: LineType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:493: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 493, in test_lines_random_no_corner_mask_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_______ test_lines_random_no_corner_mask_chunk[serial-ChunkCombinedNan] ________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial', line_type = <LineType.ChunkCombinedNan: 105>
    @pytest.mark.image
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_random_no_corner_mask_chunk(name: str, line_type: LineType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:493: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 493, in test_lines_random_no_corner_mask_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__________ test_lines_random_no_corner_mask_chunk[threaded-Separate] ___________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', line_type = <LineType.Separate: 101>
    @pytest.mark.image
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_random_no_corner_mask_chunk(name: str, line_type: LineType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:493: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 493, in test_lines_random_no_corner_mask_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
________ test_lines_random_no_corner_mask_chunk[threaded-SeparateCode] _________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', line_type = <LineType.SeparateCode: 102>
    @pytest.mark.image
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_random_no_corner_mask_chunk(name: str, line_type: LineType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:493: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 493, in test_lines_random_no_corner_mask_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______ test_lines_random_no_corner_mask_chunk[threaded-ChunkCombinedCode] ______
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', line_type = <LineType.ChunkCombinedCode: 103>
    @pytest.mark.image
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_random_no_corner_mask_chunk(name: str, line_type: LineType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:493: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 493, in test_lines_random_no_corner_mask_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_____ test_lines_random_no_corner_mask_chunk[threaded-ChunkCombinedOffset] _____
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', line_type = <LineType.ChunkCombinedOffset: 104>
    @pytest.mark.image
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_random_no_corner_mask_chunk(name: str, line_type: LineType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:493: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 493, in test_lines_random_no_corner_mask_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______ test_lines_random_no_corner_mask_chunk[threaded-ChunkCombinedNan] _______
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded', line_type = <LineType.ChunkCombinedNan: 105>
    @pytest.mark.image
    @pytest.mark.parametrize("name, line_type", util_test.all_names_and_line_types())
    def test_lines_random_no_corner_mask_chunk(name: str, line_type: LineType) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:493: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 493, in test_lines_random_no_corner_mask_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__________ test_lines_random_no_corner_mask_chunk_threads[2-Separate] __________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
line_type = <LineType.Separate: 101>, thread_count = 2
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("line_type", LineType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_lines_random_no_corner_mask_chunk_threads(line_type: LineType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:522: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 522, in test_lines_random_no_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
________ test_lines_random_no_corner_mask_chunk_threads[2-SeparateCode] ________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
line_type = <LineType.SeparateCode: 102>, thread_count = 2
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("line_type", LineType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_lines_random_no_corner_mask_chunk_threads(line_type: LineType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:522: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 522, in test_lines_random_no_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_____ test_lines_random_no_corner_mask_chunk_threads[2-ChunkCombinedCode] ______
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
line_type = <LineType.ChunkCombinedCode: 103>, thread_count = 2
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("line_type", LineType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_lines_random_no_corner_mask_chunk_threads(line_type: LineType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:522: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 522, in test_lines_random_no_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
____ test_lines_random_no_corner_mask_chunk_threads[2-ChunkCombinedOffset] _____
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
line_type = <LineType.ChunkCombinedOffset: 104>, thread_count = 2
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("line_type", LineType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_lines_random_no_corner_mask_chunk_threads(line_type: LineType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:522: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 522, in test_lines_random_no_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______ test_lines_random_no_corner_mask_chunk_threads[2-ChunkCombinedNan] ______
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
line_type = <LineType.ChunkCombinedNan: 105>, thread_count = 2
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("line_type", LineType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_lines_random_no_corner_mask_chunk_threads(line_type: LineType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:522: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 522, in test_lines_random_no_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__________ test_lines_random_no_corner_mask_chunk_threads[3-Separate] __________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
line_type = <LineType.Separate: 101>, thread_count = 3
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("line_type", LineType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_lines_random_no_corner_mask_chunk_threads(line_type: LineType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:522: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 522, in test_lines_random_no_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
________ test_lines_random_no_corner_mask_chunk_threads[3-SeparateCode] ________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
line_type = <LineType.SeparateCode: 102>, thread_count = 3
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("line_type", LineType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_lines_random_no_corner_mask_chunk_threads(line_type: LineType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:522: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 522, in test_lines_random_no_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_____ test_lines_random_no_corner_mask_chunk_threads[3-ChunkCombinedCode] ______
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
line_type = <LineType.ChunkCombinedCode: 103>, thread_count = 3
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("line_type", LineType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_lines_random_no_corner_mask_chunk_threads(line_type: LineType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:522: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 522, in test_lines_random_no_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
____ test_lines_random_no_corner_mask_chunk_threads[3-ChunkCombinedOffset] _____
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
line_type = <LineType.ChunkCombinedOffset: 104>, thread_count = 3
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("line_type", LineType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_lines_random_no_corner_mask_chunk_threads(line_type: LineType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:522: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 522, in test_lines_random_no_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______ test_lines_random_no_corner_mask_chunk_threads[3-ChunkCombinedNan] ______
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
line_type = <LineType.ChunkCombinedNan: 105>, thread_count = 3
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("line_type", LineType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_lines_random_no_corner_mask_chunk_threads(line_type: LineType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:522: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 522, in test_lines_random_no_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
____________________ test_lines_random_corner_mask[mpl2014] ____________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'mpl2014'
    @pytest.mark.image
    @pytest.mark.parametrize("name", util_test.corner_mask_names())
    def test_lines_random_corner_mask(name: str) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:549: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 549, in test_lines_random_corner_mask
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
____________________ test_lines_random_corner_mask[serial] _____________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial'
    @pytest.mark.image
    @pytest.mark.parametrize("name", util_test.corner_mask_names())
    def test_lines_random_corner_mask(name: str) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:549: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 549, in test_lines_random_corner_mask
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
___________________ test_lines_random_corner_mask[threaded] ____________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded'
    @pytest.mark.image
    @pytest.mark.parametrize("name", util_test.corner_mask_names())
    def test_lines_random_corner_mask(name: str) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:549: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 549, in test_lines_random_corner_mask
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________________ test_lines_random_corner_mask_chunk[mpl2014] _________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'mpl2014'
    @pytest.mark.image
    @pytest.mark.parametrize("name", util_test.corner_mask_names())
    def test_lines_random_corner_mask_chunk(name: str) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:572: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 572, in test_lines_random_corner_mask_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________________ test_lines_random_corner_mask_chunk[serial] __________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial'
    @pytest.mark.image
    @pytest.mark.parametrize("name", util_test.corner_mask_names())
    def test_lines_random_corner_mask_chunk(name: str) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:572: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 572, in test_lines_random_corner_mask_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
________________ test_lines_random_corner_mask_chunk[threaded] _________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded'
    @pytest.mark.image
    @pytest.mark.parametrize("name", util_test.corner_mask_names())
    def test_lines_random_corner_mask_chunk(name: str) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:572: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 572, in test_lines_random_corner_mask_chunk
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
___________ test_lines_random_corner_mask_chunk_threads[2-Separate] ____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
line_type = <LineType.Separate: 101>, thread_count = 2
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("line_type", LineType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_lines_random_corner_mask_chunk_threads(line_type: LineType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:599: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 599, in test_lines_random_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________ test_lines_random_corner_mask_chunk_threads[2-SeparateCode] __________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
line_type = <LineType.SeparateCode: 102>, thread_count = 2
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("line_type", LineType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_lines_random_corner_mask_chunk_threads(line_type: LineType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:599: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 599, in test_lines_random_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_______ test_lines_random_corner_mask_chunk_threads[2-ChunkCombinedCode] _______
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
line_type = <LineType.ChunkCombinedCode: 103>, thread_count = 2
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("line_type", LineType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_lines_random_corner_mask_chunk_threads(line_type: LineType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:599: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 599, in test_lines_random_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______ test_lines_random_corner_mask_chunk_threads[2-ChunkCombinedOffset] ______
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
line_type = <LineType.ChunkCombinedOffset: 104>, thread_count = 2
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("line_type", LineType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_lines_random_corner_mask_chunk_threads(line_type: LineType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:599: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 599, in test_lines_random_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_______ test_lines_random_corner_mask_chunk_threads[2-ChunkCombinedNan] ________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
line_type = <LineType.ChunkCombinedNan: 105>, thread_count = 2
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("line_type", LineType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_lines_random_corner_mask_chunk_threads(line_type: LineType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:599: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 599, in test_lines_random_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
___________ test_lines_random_corner_mask_chunk_threads[3-Separate] ____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
line_type = <LineType.Separate: 101>, thread_count = 3
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("line_type", LineType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_lines_random_corner_mask_chunk_threads(line_type: LineType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:599: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 599, in test_lines_random_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________ test_lines_random_corner_mask_chunk_threads[3-SeparateCode] __________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
line_type = <LineType.SeparateCode: 102>, thread_count = 3
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("line_type", LineType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_lines_random_corner_mask_chunk_threads(line_type: LineType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:599: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 599, in test_lines_random_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_______ test_lines_random_corner_mask_chunk_threads[3-ChunkCombinedCode] _______
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
line_type = <LineType.ChunkCombinedCode: 103>, thread_count = 3
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("line_type", LineType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_lines_random_corner_mask_chunk_threads(line_type: LineType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:599: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 599, in test_lines_random_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______ test_lines_random_corner_mask_chunk_threads[3-ChunkCombinedOffset] ______
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
line_type = <LineType.ChunkCombinedOffset: 104>, thread_count = 3
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("line_type", LineType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_lines_random_corner_mask_chunk_threads(line_type: LineType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:599: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 599, in test_lines_random_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_______ test_lines_random_corner_mask_chunk_threads[3-ChunkCombinedNan] ________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
line_type = <LineType.ChunkCombinedNan: 105>, thread_count = 3
    @pytest.mark.image
    @pytest.mark.threads
    @pytest.mark.parametrize("line_type", LineType.__members__.values())
    @pytest.mark.parametrize("thread_count", util_test.thread_counts())
    def test_lines_random_corner_mask_chunk_threads(line_type: LineType, thread_count: int) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:599: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 599, in test_lines_random_corner_mask_chunk_threads
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
____________________ test_lines_random_quad_as_tri[serial] _____________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'serial'
    @pytest.mark.image
    @pytest.mark.parametrize("name", util_test.quad_as_tri_names())
    def test_lines_random_quad_as_tri(name: str) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:626: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 626, in test_lines_random_quad_as_tri
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
___________________ test_lines_random_quad_as_tri[threaded] ____________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
name = 'threaded'
    @pytest.mark.image
    @pytest.mark.parametrize("name", util_test.quad_as_tri_names())
    def test_lines_random_quad_as_tri(name: str) -> None:
>       from contourpy.util.mpl_renderer import MplTestRenderer
tests/test_lines.py:626: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_lines.py", line 626, in test_lines_random_quad_as_tri
    from contourpy.util.mpl_renderer import MplTestRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______________ test_debug_renderer_filled[False-OuterCode0-False] ______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, fill_type = <FillType.OuterCode: 201>, multi = False
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("fill_type", [*FillType.__members__.values(), "OuterCode"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_debug_renderer_filled(show_text: bool, fill_type: FillType | str, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer
tests/test_renderer.py:22: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 22, in test_debug_renderer_filled
    from contourpy.util.mpl_renderer import MplDebugRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_____________ test_debug_renderer_filled[False-OuterOffset-False] ______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, fill_type = <FillType.OuterOffset: 202>, multi = False
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("fill_type", [*FillType.__members__.values(), "OuterCode"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_debug_renderer_filled(show_text: bool, fill_type: FillType | str, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer
tests/test_renderer.py:22: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 22, in test_debug_renderer_filled
    from contourpy.util.mpl_renderer import MplDebugRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__________ test_debug_renderer_filled[False-ChunkCombinedCode-False] ___________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, fill_type = <FillType.ChunkCombinedCode: 203>, multi = False
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("fill_type", [*FillType.__members__.values(), "OuterCode"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_debug_renderer_filled(show_text: bool, fill_type: FillType | str, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer
tests/test_renderer.py:22: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 22, in test_debug_renderer_filled
    from contourpy.util.mpl_renderer import MplDebugRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________ test_debug_renderer_filled[False-ChunkCombinedOffset-False] __________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, fill_type = <FillType.ChunkCombinedOffset: 204>
multi = False
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("fill_type", [*FillType.__members__.values(), "OuterCode"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_debug_renderer_filled(show_text: bool, fill_type: FillType | str, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer
tests/test_renderer.py:22: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 22, in test_debug_renderer_filled
    from contourpy.util.mpl_renderer import MplDebugRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_______ test_debug_renderer_filled[False-ChunkCombinedCodeOffset-False] ________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, fill_type = <FillType.ChunkCombinedCodeOffset: 205>
multi = False
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("fill_type", [*FillType.__members__.values(), "OuterCode"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_debug_renderer_filled(show_text: bool, fill_type: FillType | str, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer
tests/test_renderer.py:22: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 22, in test_debug_renderer_filled
    from contourpy.util.mpl_renderer import MplDebugRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______ test_debug_renderer_filled[False-ChunkCombinedOffsetOffset-False] _______
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, fill_type = <FillType.ChunkCombinedOffsetOffset: 206>
multi = False
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("fill_type", [*FillType.__members__.values(), "OuterCode"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_debug_renderer_filled(show_text: bool, fill_type: FillType | str, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer
tests/test_renderer.py:22: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 22, in test_debug_renderer_filled
    from contourpy.util.mpl_renderer import MplDebugRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______________ test_debug_renderer_filled[False-OuterCode1-False] ______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, fill_type = 'OuterCode', multi = False
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("fill_type", [*FillType.__members__.values(), "OuterCode"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_debug_renderer_filled(show_text: bool, fill_type: FillType | str, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer
tests/test_renderer.py:22: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 22, in test_debug_renderer_filled
    from contourpy.util.mpl_renderer import MplDebugRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______________ test_debug_renderer_filled[True-OuterCode0-False] _______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, fill_type = <FillType.OuterCode: 201>, multi = True
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("fill_type", [*FillType.__members__.values(), "OuterCode"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_debug_renderer_filled(show_text: bool, fill_type: FillType | str, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer
tests/test_renderer.py:22: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 22, in test_debug_renderer_filled
    from contourpy.util.mpl_renderer import MplDebugRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______________ test_debug_renderer_filled[True-OuterOffset-False] ______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, fill_type = <FillType.OuterOffset: 202>, multi = True
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("fill_type", [*FillType.__members__.values(), "OuterCode"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_debug_renderer_filled(show_text: bool, fill_type: FillType | str, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer
tests/test_renderer.py:22: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 22, in test_debug_renderer_filled
    from contourpy.util.mpl_renderer import MplDebugRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
___________ test_debug_renderer_filled[True-ChunkCombinedCode-False] ___________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, fill_type = <FillType.ChunkCombinedCode: 203>, multi = True
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("fill_type", [*FillType.__members__.values(), "OuterCode"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_debug_renderer_filled(show_text: bool, fill_type: FillType | str, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer
tests/test_renderer.py:22: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 22, in test_debug_renderer_filled
    from contourpy.util.mpl_renderer import MplDebugRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__________ test_debug_renderer_filled[True-ChunkCombinedOffset-False] __________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, fill_type = <FillType.ChunkCombinedOffset: 204>, multi = True
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("fill_type", [*FillType.__members__.values(), "OuterCode"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_debug_renderer_filled(show_text: bool, fill_type: FillType | str, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer
tests/test_renderer.py:22: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 22, in test_debug_renderer_filled
    from contourpy.util.mpl_renderer import MplDebugRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
________ test_debug_renderer_filled[True-ChunkCombinedCodeOffset-False] ________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, fill_type = <FillType.ChunkCombinedCodeOffset: 205>
multi = True
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("fill_type", [*FillType.__members__.values(), "OuterCode"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_debug_renderer_filled(show_text: bool, fill_type: FillType | str, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer
tests/test_renderer.py:22: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 22, in test_debug_renderer_filled
    from contourpy.util.mpl_renderer import MplDebugRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_______ test_debug_renderer_filled[True-ChunkCombinedOffsetOffset-False] _______
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, fill_type = <FillType.ChunkCombinedOffsetOffset: 206>
multi = True
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("fill_type", [*FillType.__members__.values(), "OuterCode"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_debug_renderer_filled(show_text: bool, fill_type: FillType | str, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer
tests/test_renderer.py:22: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 22, in test_debug_renderer_filled
    from contourpy.util.mpl_renderer import MplDebugRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______________ test_debug_renderer_filled[True-OuterCode1-False] _______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, fill_type = 'OuterCode', multi = True
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("fill_type", [*FillType.__members__.values(), "OuterCode"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_debug_renderer_filled(show_text: bool, fill_type: FillType | str, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer
tests/test_renderer.py:22: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 22, in test_debug_renderer_filled
    from contourpy.util.mpl_renderer import MplDebugRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_______________ test_debug_renderer_lines[False-Separate0-False] _______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, line_type = <LineType.Separate: 101>, multi = False
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("line_type", [*LineType.__members__.values(), "Separate"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_debug_renderer_lines(show_text: bool, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer
tests/test_renderer.py:55: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 55, in test_debug_renderer_lines
    from contourpy.util.mpl_renderer import MplDebugRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_____________ test_debug_renderer_lines[False-SeparateCode-False] ______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, line_type = <LineType.SeparateCode: 102>, multi = False
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("line_type", [*LineType.__members__.values(), "Separate"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_debug_renderer_lines(show_text: bool, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer
tests/test_renderer.py:55: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 55, in test_debug_renderer_lines
    from contourpy.util.mpl_renderer import MplDebugRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
___________ test_debug_renderer_lines[False-ChunkCombinedCode-False] ___________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, line_type = <LineType.ChunkCombinedCode: 103>, multi = False
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("line_type", [*LineType.__members__.values(), "Separate"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_debug_renderer_lines(show_text: bool, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer
tests/test_renderer.py:55: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 55, in test_debug_renderer_lines
    from contourpy.util.mpl_renderer import MplDebugRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__________ test_debug_renderer_lines[False-ChunkCombinedOffset-False] __________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, line_type = <LineType.ChunkCombinedOffset: 104>
multi = False
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("line_type", [*LineType.__members__.values(), "Separate"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_debug_renderer_lines(show_text: bool, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer
tests/test_renderer.py:55: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 55, in test_debug_renderer_lines
    from contourpy.util.mpl_renderer import MplDebugRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
___________ test_debug_renderer_lines[False-ChunkCombinedNan-False] ____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, line_type = <LineType.ChunkCombinedNan: 105>, multi = False
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("line_type", [*LineType.__members__.values(), "Separate"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_debug_renderer_lines(show_text: bool, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer
tests/test_renderer.py:55: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 55, in test_debug_renderer_lines
    from contourpy.util.mpl_renderer import MplDebugRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_______________ test_debug_renderer_lines[False-Separate1-False] _______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, line_type = 'Separate', multi = False
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("line_type", [*LineType.__members__.values(), "Separate"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_debug_renderer_lines(show_text: bool, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer
tests/test_renderer.py:55: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 55, in test_debug_renderer_lines
    from contourpy.util.mpl_renderer import MplDebugRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_______________ test_debug_renderer_lines[True-Separate0-False] ________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, line_type = <LineType.Separate: 101>, multi = True
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("line_type", [*LineType.__members__.values(), "Separate"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_debug_renderer_lines(show_text: bool, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer
tests/test_renderer.py:55: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 55, in test_debug_renderer_lines
    from contourpy.util.mpl_renderer import MplDebugRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______________ test_debug_renderer_lines[True-SeparateCode-False] ______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, line_type = <LineType.SeparateCode: 102>, multi = True
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("line_type", [*LineType.__members__.values(), "Separate"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_debug_renderer_lines(show_text: bool, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer
tests/test_renderer.py:55: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 55, in test_debug_renderer_lines
    from contourpy.util.mpl_renderer import MplDebugRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
___________ test_debug_renderer_lines[True-ChunkCombinedCode-False] ____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, line_type = <LineType.ChunkCombinedCode: 103>, multi = True
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("line_type", [*LineType.__members__.values(), "Separate"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_debug_renderer_lines(show_text: bool, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer
tests/test_renderer.py:55: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 55, in test_debug_renderer_lines
    from contourpy.util.mpl_renderer import MplDebugRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__________ test_debug_renderer_lines[True-ChunkCombinedOffset-False] ___________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, line_type = <LineType.ChunkCombinedOffset: 104>, multi = True
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("line_type", [*LineType.__members__.values(), "Separate"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_debug_renderer_lines(show_text: bool, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer
tests/test_renderer.py:55: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 55, in test_debug_renderer_lines
    from contourpy.util.mpl_renderer import MplDebugRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
____________ test_debug_renderer_lines[True-ChunkCombinedNan-False] ____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, line_type = <LineType.ChunkCombinedNan: 105>, multi = True
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("line_type", [*LineType.__members__.values(), "Separate"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_debug_renderer_lines(show_text: bool, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer
tests/test_renderer.py:55: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 55, in test_debug_renderer_lines
    from contourpy.util.mpl_renderer import MplDebugRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_______________ test_debug_renderer_lines[True-Separate1-False] ________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, line_type = 'Separate', multi = True
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("line_type", [*LineType.__members__.values(), "Separate"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_debug_renderer_lines(show_text: bool, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer
tests/test_renderer.py:55: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 55, in test_debug_renderer_lines
    from contourpy.util.mpl_renderer import MplDebugRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______________ test_renderer_filled[False-OuterCode0-False-False] ______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, debug = False, fill_type = <FillType.OuterCode: 201>
multi = False
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("debug", [False, True])
    @pytest.mark.parametrize("fill_type", [*FillType.__members__.values(), "OuterCode"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_renderer_filled(show_text: bool, debug: bool, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
tests/test_renderer.py:89: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 89, in test_renderer_filled
    from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______________ test_renderer_filled[False-OuterCode0-True-False] _______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, debug = True, fill_type = <FillType.OuterCode: 201>
multi = False
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("debug", [False, True])
    @pytest.mark.parametrize("fill_type", [*FillType.__members__.values(), "OuterCode"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_renderer_filled(show_text: bool, debug: bool, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
tests/test_renderer.py:89: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 89, in test_renderer_filled
    from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_____________ test_renderer_filled[False-OuterOffset-False-False] ______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, debug = False, fill_type = <FillType.OuterOffset: 202>
multi = False
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("debug", [False, True])
    @pytest.mark.parametrize("fill_type", [*FillType.__members__.values(), "OuterCode"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_renderer_filled(show_text: bool, debug: bool, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
tests/test_renderer.py:89: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 89, in test_renderer_filled
    from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______________ test_renderer_filled[False-OuterOffset-True-False] ______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, debug = True, fill_type = <FillType.OuterOffset: 202>
multi = False
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("debug", [False, True])
    @pytest.mark.parametrize("fill_type", [*FillType.__members__.values(), "OuterCode"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_renderer_filled(show_text: bool, debug: bool, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
tests/test_renderer.py:89: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 89, in test_renderer_filled
    from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__________ test_renderer_filled[False-ChunkCombinedCode-False-False] ___________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, debug = False, fill_type = <FillType.ChunkCombinedCode: 203>
multi = False
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("debug", [False, True])
    @pytest.mark.parametrize("fill_type", [*FillType.__members__.values(), "OuterCode"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_renderer_filled(show_text: bool, debug: bool, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
tests/test_renderer.py:89: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 89, in test_renderer_filled
    from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
___________ test_renderer_filled[False-ChunkCombinedCode-True-False] ___________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, debug = True, fill_type = <FillType.ChunkCombinedCode: 203>
multi = False
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("debug", [False, True])
    @pytest.mark.parametrize("fill_type", [*FillType.__members__.values(), "OuterCode"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_renderer_filled(show_text: bool, debug: bool, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
tests/test_renderer.py:89: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 89, in test_renderer_filled
    from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_________ test_renderer_filled[False-ChunkCombinedOffset-False-False] __________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, debug = False
fill_type = <FillType.ChunkCombinedOffset: 204>, multi = False
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("debug", [False, True])
    @pytest.mark.parametrize("fill_type", [*FillType.__members__.values(), "OuterCode"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_renderer_filled(show_text: bool, debug: bool, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
tests/test_renderer.py:89: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 89, in test_renderer_filled
    from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__________ test_renderer_filled[False-ChunkCombinedOffset-True-False] __________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, debug = True, fill_type = <FillType.ChunkCombinedOffset: 204>
multi = False
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("debug", [False, True])
    @pytest.mark.parametrize("fill_type", [*FillType.__members__.values(), "OuterCode"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_renderer_filled(show_text: bool, debug: bool, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
tests/test_renderer.py:89: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 89, in test_renderer_filled
    from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_______ test_renderer_filled[False-ChunkCombinedCodeOffset-False-False] ________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, debug = False
fill_type = <FillType.ChunkCombinedCodeOffset: 205>, multi = False
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("debug", [False, True])
    @pytest.mark.parametrize("fill_type", [*FillType.__members__.values(), "OuterCode"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_renderer_filled(show_text: bool, debug: bool, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
tests/test_renderer.py:89: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 89, in test_renderer_filled
    from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
________ test_renderer_filled[False-ChunkCombinedCodeOffset-True-False] ________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, debug = True
fill_type = <FillType.ChunkCombinedCodeOffset: 205>, multi = False
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("debug", [False, True])
    @pytest.mark.parametrize("fill_type", [*FillType.__members__.values(), "OuterCode"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_renderer_filled(show_text: bool, debug: bool, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
tests/test_renderer.py:89: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 89, in test_renderer_filled
    from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______ test_renderer_filled[False-ChunkCombinedOffsetOffset-False-False] _______
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, debug = False
fill_type = <FillType.ChunkCombinedOffsetOffset: 206>, multi = False
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("debug", [False, True])
    @pytest.mark.parametrize("fill_type", [*FillType.__members__.values(), "OuterCode"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_renderer_filled(show_text: bool, debug: bool, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
tests/test_renderer.py:89: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 89, in test_renderer_filled
    from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_______ test_renderer_filled[False-ChunkCombinedOffsetOffset-True-False] _______
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, debug = True
fill_type = <FillType.ChunkCombinedOffsetOffset: 206>, multi = False
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("debug", [False, True])
    @pytest.mark.parametrize("fill_type", [*FillType.__members__.values(), "OuterCode"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_renderer_filled(show_text: bool, debug: bool, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
tests/test_renderer.py:89: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 89, in test_renderer_filled
    from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______________ test_renderer_filled[False-OuterCode1-False-False] ______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, debug = False, fill_type = 'OuterCode', multi = False
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("debug", [False, True])
    @pytest.mark.parametrize("fill_type", [*FillType.__members__.values(), "OuterCode"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_renderer_filled(show_text: bool, debug: bool, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
tests/test_renderer.py:89: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 89, in test_renderer_filled
    from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______________ test_renderer_filled[False-OuterCode1-True-False] _______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, debug = True, fill_type = 'OuterCode', multi = False
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("debug", [False, True])
    @pytest.mark.parametrize("fill_type", [*FillType.__members__.values(), "OuterCode"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_renderer_filled(show_text: bool, debug: bool, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
tests/test_renderer.py:89: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 89, in test_renderer_filled
    from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______________ test_renderer_filled[True-OuterCode0-False-False] _______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, debug = False, fill_type = <FillType.OuterCode: 201>
multi = True
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("debug", [False, True])
    @pytest.mark.parametrize("fill_type", [*FillType.__members__.values(), "OuterCode"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_renderer_filled(show_text: bool, debug: bool, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
tests/test_renderer.py:89: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 89, in test_renderer_filled
    from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_______________ test_renderer_filled[True-OuterCode0-True-False] _______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, debug = True, fill_type = <FillType.OuterCode: 201>
multi = True
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("debug", [False, True])
    @pytest.mark.parametrize("fill_type", [*FillType.__members__.values(), "OuterCode"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_renderer_filled(show_text: bool, debug: bool, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
tests/test_renderer.py:89: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 89, in test_renderer_filled
    from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______________ test_renderer_filled[True-OuterOffset-False-False] ______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, debug = False, fill_type = <FillType.OuterOffset: 202>
multi = True
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("debug", [False, True])
    @pytest.mark.parametrize("fill_type", [*FillType.__members__.values(), "OuterCode"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_renderer_filled(show_text: bool, debug: bool, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
tests/test_renderer.py:89: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 89, in test_renderer_filled
    from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______________ test_renderer_filled[True-OuterOffset-True-False] _______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, debug = True, fill_type = <FillType.OuterOffset: 202>
multi = True
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("debug", [False, True])
    @pytest.mark.parametrize("fill_type", [*FillType.__members__.values(), "OuterCode"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_renderer_filled(show_text: bool, debug: bool, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
tests/test_renderer.py:89: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 89, in test_renderer_filled
    from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
___________ test_renderer_filled[True-ChunkCombinedCode-False-False] ___________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, debug = False, fill_type = <FillType.ChunkCombinedCode: 203>
multi = True
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("debug", [False, True])
    @pytest.mark.parametrize("fill_type", [*FillType.__members__.values(), "OuterCode"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_renderer_filled(show_text: bool, debug: bool, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
tests/test_renderer.py:89: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 89, in test_renderer_filled
    from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
___________ test_renderer_filled[True-ChunkCombinedCode-True-False] ____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, debug = True, fill_type = <FillType.ChunkCombinedCode: 203>
multi = True
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("debug", [False, True])
    @pytest.mark.parametrize("fill_type", [*FillType.__members__.values(), "OuterCode"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_renderer_filled(show_text: bool, debug: bool, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
tests/test_renderer.py:89: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 89, in test_renderer_filled
    from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__________ test_renderer_filled[True-ChunkCombinedOffset-False-False] __________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, debug = False
fill_type = <FillType.ChunkCombinedOffset: 204>, multi = True
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("debug", [False, True])
    @pytest.mark.parametrize("fill_type", [*FillType.__members__.values(), "OuterCode"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_renderer_filled(show_text: bool, debug: bool, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
tests/test_renderer.py:89: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 89, in test_renderer_filled
    from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__________ test_renderer_filled[True-ChunkCombinedOffset-True-False] ___________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, debug = True, fill_type = <FillType.ChunkCombinedOffset: 204>
multi = True
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("debug", [False, True])
    @pytest.mark.parametrize("fill_type", [*FillType.__members__.values(), "OuterCode"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_renderer_filled(show_text: bool, debug: bool, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
tests/test_renderer.py:89: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 89, in test_renderer_filled
    from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
________ test_renderer_filled[True-ChunkCombinedCodeOffset-False-False] ________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, debug = False
fill_type = <FillType.ChunkCombinedCodeOffset: 205>, multi = True
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("debug", [False, True])
    @pytest.mark.parametrize("fill_type", [*FillType.__members__.values(), "OuterCode"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_renderer_filled(show_text: bool, debug: bool, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
tests/test_renderer.py:89: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 89, in test_renderer_filled
    from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
________ test_renderer_filled[True-ChunkCombinedCodeOffset-True-False] _________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, debug = True
fill_type = <FillType.ChunkCombinedCodeOffset: 205>, multi = True
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("debug", [False, True])
    @pytest.mark.parametrize("fill_type", [*FillType.__members__.values(), "OuterCode"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_renderer_filled(show_text: bool, debug: bool, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
tests/test_renderer.py:89: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 89, in test_renderer_filled
    from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_______ test_renderer_filled[True-ChunkCombinedOffsetOffset-False-False] _______
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, debug = False
fill_type = <FillType.ChunkCombinedOffsetOffset: 206>, multi = True
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("debug", [False, True])
    @pytest.mark.parametrize("fill_type", [*FillType.__members__.values(), "OuterCode"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_renderer_filled(show_text: bool, debug: bool, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
tests/test_renderer.py:89: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 89, in test_renderer_filled
    from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_______ test_renderer_filled[True-ChunkCombinedOffsetOffset-True-False] ________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, debug = True
fill_type = <FillType.ChunkCombinedOffsetOffset: 206>, multi = True
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("debug", [False, True])
    @pytest.mark.parametrize("fill_type", [*FillType.__members__.values(), "OuterCode"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_renderer_filled(show_text: bool, debug: bool, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
tests/test_renderer.py:89: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 89, in test_renderer_filled
    from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______________ test_renderer_filled[True-OuterCode1-False-False] _______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, debug = False, fill_type = 'OuterCode', multi = True
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("debug", [False, True])
    @pytest.mark.parametrize("fill_type", [*FillType.__members__.values(), "OuterCode"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_renderer_filled(show_text: bool, debug: bool, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
tests/test_renderer.py:89: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 89, in test_renderer_filled
    from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_______________ test_renderer_filled[True-OuterCode1-True-False] _______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, debug = True, fill_type = 'OuterCode', multi = True
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("debug", [False, True])
    @pytest.mark.parametrize("fill_type", [*FillType.__members__.values(), "OuterCode"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_renderer_filled(show_text: bool, debug: bool, fill_type: FillType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
tests/test_renderer.py:89: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 89, in test_renderer_filled
    from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_______________ test_renderer_lines[False-Separate0-False-False] _______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, debug = False, line_type = <LineType.Separate: 101>
multi = False
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("debug", [False, True])
    @pytest.mark.parametrize("line_type", [*LineType.__members__.values(), "Separate"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_renderer_lines(show_text: bool, debug: bool, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
tests/test_renderer.py:141: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 141, in test_renderer_lines
    from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_______________ test_renderer_lines[False-Separate0-True-False] ________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, debug = True, line_type = <LineType.Separate: 101>
multi = False
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("debug", [False, True])
    @pytest.mark.parametrize("line_type", [*LineType.__members__.values(), "Separate"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_renderer_lines(show_text: bool, debug: bool, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
tests/test_renderer.py:141: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 141, in test_renderer_lines
    from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_____________ test_renderer_lines[False-SeparateCode-False-False] ______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, debug = False, line_type = <LineType.SeparateCode: 102>
multi = False
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("debug", [False, True])
    @pytest.mark.parametrize("line_type", [*LineType.__members__.values(), "Separate"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_renderer_lines(show_text: bool, debug: bool, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
tests/test_renderer.py:141: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 141, in test_renderer_lines
    from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______________ test_renderer_lines[False-SeparateCode-True-False] ______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, debug = True, line_type = <LineType.SeparateCode: 102>
multi = False
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("debug", [False, True])
    @pytest.mark.parametrize("line_type", [*LineType.__members__.values(), "Separate"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_renderer_lines(show_text: bool, debug: bool, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
tests/test_renderer.py:141: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 141, in test_renderer_lines
    from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
___________ test_renderer_lines[False-ChunkCombinedCode-False-False] ___________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, debug = False, line_type = <LineType.ChunkCombinedCode: 103>
multi = False
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("debug", [False, True])
    @pytest.mark.parametrize("line_type", [*LineType.__members__.values(), "Separate"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_renderer_lines(show_text: bool, debug: bool, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
tests/test_renderer.py:141: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 141, in test_renderer_lines
    from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
___________ test_renderer_lines[False-ChunkCombinedCode-True-False] ____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, debug = True, line_type = <LineType.ChunkCombinedCode: 103>
multi = False
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("debug", [False, True])
    @pytest.mark.parametrize("line_type", [*LineType.__members__.values(), "Separate"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_renderer_lines(show_text: bool, debug: bool, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
tests/test_renderer.py:141: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 141, in test_renderer_lines
    from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__________ test_renderer_lines[False-ChunkCombinedOffset-False-False] __________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, debug = False
line_type = <LineType.ChunkCombinedOffset: 104>, multi = False
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("debug", [False, True])
    @pytest.mark.parametrize("line_type", [*LineType.__members__.values(), "Separate"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_renderer_lines(show_text: bool, debug: bool, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
tests/test_renderer.py:141: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 141, in test_renderer_lines
    from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__________ test_renderer_lines[False-ChunkCombinedOffset-True-False] ___________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, debug = True, line_type = <LineType.ChunkCombinedOffset: 104>
multi = False
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("debug", [False, True])
    @pytest.mark.parametrize("line_type", [*LineType.__members__.values(), "Separate"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_renderer_lines(show_text: bool, debug: bool, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
tests/test_renderer.py:141: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 141, in test_renderer_lines
    from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
___________ test_renderer_lines[False-ChunkCombinedNan-False-False] ____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, debug = False, line_type = <LineType.ChunkCombinedNan: 105>
multi = False
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("debug", [False, True])
    @pytest.mark.parametrize("line_type", [*LineType.__members__.values(), "Separate"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_renderer_lines(show_text: bool, debug: bool, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
tests/test_renderer.py:141: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 141, in test_renderer_lines
    from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
____________ test_renderer_lines[False-ChunkCombinedNan-True-False] ____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, debug = True, line_type = <LineType.ChunkCombinedNan: 105>
multi = False
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("debug", [False, True])
    @pytest.mark.parametrize("line_type", [*LineType.__members__.values(), "Separate"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_renderer_lines(show_text: bool, debug: bool, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
tests/test_renderer.py:141: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 141, in test_renderer_lines
    from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_______________ test_renderer_lines[False-Separate1-False-False] _______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, debug = False, line_type = 'Separate', multi = False
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("debug", [False, True])
    @pytest.mark.parametrize("line_type", [*LineType.__members__.values(), "Separate"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_renderer_lines(show_text: bool, debug: bool, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
tests/test_renderer.py:141: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 141, in test_renderer_lines
    from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_______________ test_renderer_lines[False-Separate1-True-False] ________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, debug = True, line_type = 'Separate', multi = False
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("debug", [False, True])
    @pytest.mark.parametrize("line_type", [*LineType.__members__.values(), "Separate"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_renderer_lines(show_text: bool, debug: bool, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
tests/test_renderer.py:141: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 141, in test_renderer_lines
    from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_______________ test_renderer_lines[True-Separate0-False-False] ________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, debug = False, line_type = <LineType.Separate: 101>
multi = True
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("debug", [False, True])
    @pytest.mark.parametrize("line_type", [*LineType.__members__.values(), "Separate"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_renderer_lines(show_text: bool, debug: bool, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
tests/test_renderer.py:141: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 141, in test_renderer_lines
    from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
________________ test_renderer_lines[True-Separate0-True-False] ________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, debug = True, line_type = <LineType.Separate: 101>
multi = True
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("debug", [False, True])
    @pytest.mark.parametrize("line_type", [*LineType.__members__.values(), "Separate"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_renderer_lines(show_text: bool, debug: bool, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
tests/test_renderer.py:141: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 141, in test_renderer_lines
    from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______________ test_renderer_lines[True-SeparateCode-False-False] ______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, debug = False, line_type = <LineType.SeparateCode: 102>
multi = True
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("debug", [False, True])
    @pytest.mark.parametrize("line_type", [*LineType.__members__.values(), "Separate"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_renderer_lines(show_text: bool, debug: bool, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
tests/test_renderer.py:141: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 141, in test_renderer_lines
    from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
______________ test_renderer_lines[True-SeparateCode-True-False] _______________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, debug = True, line_type = <LineType.SeparateCode: 102>
multi = True
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("debug", [False, True])
    @pytest.mark.parametrize("line_type", [*LineType.__members__.values(), "Separate"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_renderer_lines(show_text: bool, debug: bool, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
tests/test_renderer.py:141: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 141, in test_renderer_lines
    from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
___________ test_renderer_lines[True-ChunkCombinedCode-False-False] ____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, debug = False, line_type = <LineType.ChunkCombinedCode: 103>
multi = True
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("debug", [False, True])
    @pytest.mark.parametrize("line_type", [*LineType.__members__.values(), "Separate"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_renderer_lines(show_text: bool, debug: bool, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
tests/test_renderer.py:141: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 141, in test_renderer_lines
    from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
____________ test_renderer_lines[True-ChunkCombinedCode-True-False] ____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, debug = True, line_type = <LineType.ChunkCombinedCode: 103>
multi = True
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("debug", [False, True])
    @pytest.mark.parametrize("line_type", [*LineType.__members__.values(), "Separate"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_renderer_lines(show_text: bool, debug: bool, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
tests/test_renderer.py:141: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 141, in test_renderer_lines
    from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
__________ test_renderer_lines[True-ChunkCombinedOffset-False-False] ___________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, debug = False
line_type = <LineType.ChunkCombinedOffset: 104>, multi = True
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("debug", [False, True])
    @pytest.mark.parametrize("line_type", [*LineType.__members__.values(), "Separate"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_renderer_lines(show_text: bool, debug: bool, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
tests/test_renderer.py:141: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 141, in test_renderer_lines
    from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
___________ test_renderer_lines[True-ChunkCombinedOffset-True-False] ___________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, debug = True, line_type = <LineType.ChunkCombinedOffset: 104>
multi = True
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("debug", [False, True])
    @pytest.mark.parametrize("line_type", [*LineType.__members__.values(), "Separate"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_renderer_lines(show_text: bool, debug: bool, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
tests/test_renderer.py:141: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 141, in test_renderer_lines
    from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
____________ test_renderer_lines[True-ChunkCombinedNan-False-False] ____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, debug = False, line_type = <LineType.ChunkCombinedNan: 105>
multi = True
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("debug", [False, True])
    @pytest.mark.parametrize("line_type", [*LineType.__members__.values(), "Separate"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_renderer_lines(show_text: bool, debug: bool, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
tests/test_renderer.py:141: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 141, in test_renderer_lines
    from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
____________ test_renderer_lines[True-ChunkCombinedNan-True-False] _____________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, debug = True, line_type = <LineType.ChunkCombinedNan: 105>
multi = True
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("debug", [False, True])
    @pytest.mark.parametrize("line_type", [*LineType.__members__.values(), "Separate"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_renderer_lines(show_text: bool, debug: bool, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
tests/test_renderer.py:141: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 141, in test_renderer_lines
    from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_______________ test_renderer_lines[True-Separate1-False-False] ________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, debug = False, line_type = 'Separate', multi = True
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("debug", [False, True])
    @pytest.mark.parametrize("line_type", [*LineType.__members__.values(), "Separate"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_renderer_lines(show_text: bool, debug: bool, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
tests/test_renderer.py:141: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 141, in test_renderer_lines
    from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
________________ test_renderer_lines[True-Separate1-True-False] ________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
show_text = False, debug = True, line_type = 'Separate', multi = True
    @pytest.mark.image
    @pytest.mark.text
    @pytest.mark.parametrize("show_text", [False, True])
    @pytest.mark.parametrize("debug", [False, True])
    @pytest.mark.parametrize("line_type", [*LineType.__members__.values(), "Separate"])
    @pytest.mark.parametrize("multi", [False, True])
    def test_renderer_lines(show_text: bool, debug: bool, line_type: LineType, multi: bool) -> None:
>       from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
tests/test_renderer.py:141: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 141, in test_renderer_lines
    from contourpy.util.mpl_renderer import MplDebugRenderer, MplRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_____________________________ test_save_png[False] _____________________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
transparent = False
tmpdir = local('/tmp/pytest-of-mockbuild/pytest-0/test_save_png_False_0')
    @pytest.mark.image
    @pytest.mark.parametrize("transparent", [False, True])
    def test_save_png(transparent: bool, tmpdir: LocalPath) -> None:
        from PIL import Image
    
>       from contourpy.util.mpl_renderer import MplRenderer
tests/test_renderer.py:193: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 193, in test_save_png
    from contourpy.util.mpl_renderer import MplRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_____________________________ test_save_png[True] ______________________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
transparent = True
tmpdir = local('/tmp/pytest-of-mockbuild/pytest-0/test_save_png_True_0')
    @pytest.mark.image
    @pytest.mark.parametrize("transparent", [False, True])
    def test_save_png(transparent: bool, tmpdir: LocalPath) -> None:
        from PIL import Image
    
>       from contourpy.util.mpl_renderer import MplRenderer
tests/test_renderer.py:193: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 193, in test_save_png
    from contourpy.util.mpl_renderer import MplRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_____________________________ test_save_svg[False] _____________________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
transparent = False
tmpdir = local('/tmp/pytest-of-mockbuild/pytest-0/test_save_svg_False_0')
    @pytest.mark.image
    @pytest.mark.parametrize("transparent", [False, True])
    def test_save_svg(transparent: bool, tmpdir: LocalPath) -> None:
>       from contourpy.util.mpl_renderer import MplRenderer
tests/test_renderer.py:213: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 213, in test_save_svg
    from contourpy.util.mpl_renderer import MplRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
_____________________________ test_save_svg[True] ______________________________
ImportError: numpy.core.multiarray failed to import
The above exception was the direct cause of the following exception:
transparent = True
tmpdir = local('/tmp/pytest-of-mockbuild/pytest-0/test_save_svg_True_0')
    @pytest.mark.image
    @pytest.mark.parametrize("transparent", [False, True])
    def test_save_svg(transparent: bool, tmpdir: LocalPath) -> None:
>       from contourpy.util.mpl_renderer import MplRenderer
tests/test_renderer.py:213: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
../BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py:7: in <module>
    import matplotlib.collections as mcollections
/usr/lib64/python3.13/site-packages/matplotlib/__init__.py:159: in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py:28: in <module>
    from matplotlib.colors import Colormap, is_color_like
/usr/lib64/python3.13/site-packages/matplotlib/colors.py:57: in <module>
    from matplotlib import _api, _cm, cbook, scale
/usr/lib64/python3.13/site-packages/matplotlib/scale.py:22: in <module>
    from matplotlib.ticker import (
/usr/lib64/python3.13/site-packages/matplotlib/ticker.py:144: in <module>
    from matplotlib import transforms as mtransforms
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 
    """
    Matplotlib includes a framework for arbitrary geometric
    transformations that is used determine the final position of all
    elements drawn on the canvas.
    
    Transforms are composed into trees of `TransformNode` objects
    whose actual value depends on their children.  When the contents of
    children change, their parents are automatically invalidated.  The
    next time an invalidated transform is accessed, it is recomputed to
    reflect those changes.  This invalidation/caching approach prevents
    unnecessary recomputations of transforms, and contributes to better
    interactive performance.
    
    For example, here is a graph of the transform tree used to plot data
    to the graph:
    
    .. image:: ../_static/transforms.png
    
    The framework can be used for both affine and non-affine
    transformations.  However, for speed, we want to use the backend
    renderers to perform affine transformations whenever possible.
    Therefore, it is possible to perform just the affine or non-affine
    part of a transformation on a set of data.  The affine is always
    assumed to occur after the non-affine.  For any transform::
    
      full transform == non-affine part + affine part
    
    The backends are not expected to handle non-affine transformations
    themselves.
    
    See the tutorial :ref:`transforms_tutorial` for examples
    of how to use transforms.
    """
    
    # Note: There are a number of places in the code where we use `np.min` or
    # `np.minimum` instead of the builtin `min`, and likewise for `max`.  This is
    # done so that `nan`s are propagated, instead of being silently dropped.
    
    import copy
    import functools
    import textwrap
    import weakref
    import math
    
    import numpy as np
    from numpy.linalg import inv
    
    from matplotlib import _api
>   from matplotlib._path import (
        affine_transform, count_bboxes_overlapping_bbox, update_path_extents)
E   ImportError: initialization failed
/usr/lib64/python3.13/site-packages/matplotlib/transforms.py:49: ImportError
----------------------------- Captured stderr call -----------------------------
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
Traceback (most recent call last):  File "/usr/bin/pytest", line 8, in <module>
    sys.exit(console_main())
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 201, in console_main
    code = main()
  File "/usr/lib/python3.13/site-packages/_pytest/config/__init__.py", line 175, in main
    ret: ExitCode | int = config.hook.pytest_cmdline_main(config=config)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 330, in pytest_cmdline_main
    return wrap_session(config, _main)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 283, in wrap_session
    session.exitstatus = doit(config, session) or 0
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 337, in _main
    config.hook.pytest_runtestloop(session=session)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/main.py", line 362, in pytest_runtestloop
    item.config.hook.pytest_runtest_protocol(item=item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 113, in pytest_runtest_protocol
    runtestprotocol(item, nextitem=nextitem)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 132, in runtestprotocol
    reports.append(call_and_report(item, "call", log))
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 241, in call_and_report
    call = CallInfo.from_call(
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 341, in from_call
    result: TResult | None = func()
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 242, in <lambda>
    lambda: runtest_hook(item=item, **kwds), when=when, reraise=reraise
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/runner.py", line 174, in pytest_runtest_call
    item.runtest()
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 1627, in runtest
    self.ihook.pytest_pyfunc_call(pyfuncitem=self)
  File "/usr/lib/python3.13/site-packages/pluggy/_hooks.py", line 513, in __call__
    return self._hookexec(self.name, self._hookimpls.copy(), kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_manager.py", line 120, in _hookexec
    return self._inner_hookexec(hook_name, methods, kwargs, firstresult)
  File "/usr/lib/python3.13/site-packages/pluggy/_callers.py", line 103, in _multicall
    res = hook_impl.function(*args)
  File "/usr/lib/python3.13/site-packages/_pytest/python.py", line 159, in pytest_pyfunc_call
    result = testfunction(**testargs)
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/contourpy-1.3.2/tests/test_renderer.py", line 213, in test_save_svg
    from contourpy.util.mpl_renderer import MplRenderer
  File "/builddir/build/BUILD/python-contourpy-1.3.2-build/BUILDROOT/usr/lib64/python3.13/site-packages/contourpy/util/mpl_renderer.py", line 7, in <module>
    import matplotlib.collections as mcollections
  File "/usr/lib64/python3.13/site-packages/matplotlib/__init__.py", line 159, in <module>
    from . import _api, _version, cbook, _docstring, rcsetup
  File "/usr/lib64/python3.13/site-packages/matplotlib/rcsetup.py", line 28, in <module>
    from matplotlib.colors import Colormap, is_color_like
  File "/usr/lib64/python3.13/site-packages/matplotlib/colors.py", line 57, in <module>
    from matplotlib import _api, _cm, cbook, scale
  File "/usr/lib64/python3.13/site-packages/matplotlib/scale.py", line 22, in <module>
    from matplotlib.ticker import (
  File "/usr/lib64/python3.13/site-packages/matplotlib/ticker.py", line 144, in <module>
    from matplotlib import transforms as mtransforms
  File "/usr/lib64/python3.13/site-packages/matplotlib/transforms.py", line 49, in <module>
    from matplotlib._path import (
Traceback (most recent call last):
  File "/usr/lib64/python3.13/site-packages/numpy/core/_multiarray_umath.py", line 44, in __getattr__
    raise ImportError(msg)
ImportError: 
A module that was compiled using NumPy 1.x cannot be run in
NumPy 2.2.5 as it may crash. To support both 1.x and 2.x
versions of NumPy, modules must be compiled with NumPy 2.0.
Some module may need to rebuild instead e.g. with 'pybind11>=2.12'.
If you are a user of the module, the easiest solution will be to
downgrade to 'numpy<2' or try to upgrade the affected module.
We expect that some modules will need time to support NumPy 2.
=========================== short test summary info ============================
FAILED tests/test_config.py::test_config_filled[mpl2005-False] - ImportError:...
FAILED tests/test_config.py::test_config_filled[mpl2014-False] - ImportError:...
FAILED tests/test_config.py::test_config_filled[serial-False] - ImportError: ...
FAILED tests/test_config.py::test_config_filled[threaded-False] - ImportError...
FAILED tests/test_config.py::test_config_filled_quad_as_tri[serial-False] - I...
FAILED tests/test_config.py::test_config_filled_quad_as_tri[threaded-False]
FAILED tests/test_config.py::test_config_filled_corner[mpl2014-False] - Impor...
FAILED tests/test_config.py::test_config_filled_corner[serial-False] - Import...
FAILED tests/test_config.py::test_config_filled_corner[threaded-False] - Impo...
FAILED tests/test_config.py::test_config_lines[mpl2005-False] - ImportError: ...
FAILED tests/test_config.py::test_config_lines[mpl2014-False] - ImportError: ...
FAILED tests/test_config.py::test_config_lines[serial-False] - ImportError: i...
FAILED tests/test_config.py::test_config_lines[threaded-False] - ImportError:...
FAILED tests/test_config.py::test_config_lines_quad_as_tri[serial-False] - Im...
FAILED tests/test_config.py::test_config_lines_quad_as_tri[threaded-False] - ...
FAILED tests/test_config.py::test_config_lines_corner[mpl2014-False] - Import...
FAILED tests/test_config.py::test_config_lines_corner[serial-False] - ImportE...
FAILED tests/test_config.py::test_config_lines_corner[threaded-False] - Impor...
FAILED tests/test_filled.py::test_filled_simple[mpl2005-OuterCode-False] - Im...
FAILED tests/test_filled.py::test_filled_simple[mpl2005-OuterCode-True] - Imp...
FAILED tests/test_filled.py::test_filled_simple[mpl2014-OuterCode-False] - Im...
FAILED tests/test_filled.py::test_filled_simple[mpl2014-OuterCode-True] - Imp...
FAILED tests/test_filled.py::test_filled_simple[serial-OuterCode-False] - Imp...
FAILED tests/test_filled.py::test_filled_simple[serial-OuterCode-True] - Impo...
FAILED tests/test_filled.py::test_filled_simple[serial-OuterOffset-False] - I...
FAILED tests/test_filled.py::test_filled_simple[serial-OuterOffset-True] - Im...
FAILED tests/test_filled.py::test_filled_simple[serial-ChunkCombinedCode-False]
FAILED tests/test_filled.py::test_filled_simple[serial-ChunkCombinedCode-True]
FAILED tests/test_filled.py::test_filled_simple[serial-ChunkCombinedOffset-False]
FAILED tests/test_filled.py::test_filled_simple[serial-ChunkCombinedOffset-True]
FAILED tests/test_filled.py::test_filled_simple[serial-ChunkCombinedCodeOffset-False]
FAILED tests/test_filled.py::test_filled_simple[serial-ChunkCombinedCodeOffset-True]
FAILED tests/test_filled.py::test_filled_simple[serial-ChunkCombinedOffsetOffset-False]
FAILED tests/test_filled.py::test_filled_simple[serial-ChunkCombinedOffsetOffset-True]
FAILED tests/test_filled.py::test_filled_simple[threaded-OuterCode-False] - I...
FAILED tests/test_filled.py::test_filled_simple[threaded-OuterCode-True] - Im...
FAILED tests/test_filled.py::test_filled_simple[threaded-OuterOffset-False]
FAILED tests/test_filled.py::test_filled_simple[threaded-OuterOffset-True] - ...
FAILED tests/test_filled.py::test_filled_simple[threaded-ChunkCombinedCode-False]
FAILED tests/test_filled.py::test_filled_simple[threaded-ChunkCombinedCode-True]
FAILED tests/test_filled.py::test_filled_simple[threaded-ChunkCombinedOffset-False]
FAILED tests/test_filled.py::test_filled_simple[threaded-ChunkCombinedOffset-True]
FAILED tests/test_filled.py::test_filled_simple[threaded-ChunkCombinedCodeOffset-False]
FAILED tests/test_filled.py::test_filled_simple[threaded-ChunkCombinedCodeOffset-True]
FAILED tests/test_filled.py::test_filled_simple[threaded-ChunkCombinedOffsetOffset-False]
FAILED tests/test_filled.py::test_filled_simple[threaded-ChunkCombinedOffsetOffset-True]
FAILED tests/test_filled.py::test_filled_simple_chunk[mpl2005-OuterCode-False]
FAILED tests/test_filled.py::test_filled_simple_chunk[mpl2005-OuterCode-True]
FAILED tests/test_filled.py::test_filled_simple_chunk[mpl2014-OuterCode-False]
FAILED tests/test_filled.py::test_filled_simple_chunk[mpl2014-OuterCode-True]
FAILED tests/test_filled.py::test_filled_simple_chunk[serial-OuterCode-False]
FAILED tests/test_filled.py::test_filled_simple_chunk[serial-OuterCode-True]
FAILED tests/test_filled.py::test_filled_simple_chunk[serial-OuterOffset-False]
FAILED tests/test_filled.py::test_filled_simple_chunk[serial-OuterOffset-True]
FAILED tests/test_filled.py::test_filled_simple_chunk[serial-ChunkCombinedCode-False]
FAILED tests/test_filled.py::test_filled_simple_chunk[serial-ChunkCombinedCode-True]
FAILED tests/test_filled.py::test_filled_simple_chunk[serial-ChunkCombinedOffset-False]
FAILED tests/test_filled.py::test_filled_simple_chunk[serial-ChunkCombinedOffset-True]
FAILED tests/test_filled.py::test_filled_simple_chunk[serial-ChunkCombinedCodeOffset-False]
FAILED tests/test_filled.py::test_filled_simple_chunk[serial-ChunkCombinedCodeOffset-True]
FAILED tests/test_filled.py::test_filled_simple_chunk[serial-ChunkCombinedOffsetOffset-False]
FAILED tests/test_filled.py::test_filled_simple_chunk[serial-ChunkCombinedOffsetOffset-True]
FAILED tests/test_filled.py::test_filled_simple_chunk[threaded-OuterCode-False]
FAILED tests/test_filled.py::test_filled_simple_chunk[threaded-OuterCode-True]
FAILED tests/test_filled.py::test_filled_simple_chunk[threaded-OuterOffset-False]
FAILED tests/test_filled.py::test_filled_simple_chunk[threaded-OuterOffset-True]
FAILED tests/test_filled.py::test_filled_simple_chunk[threaded-ChunkCombinedCode-False]
FAILED tests/test_filled.py::test_filled_simple_chunk[threaded-ChunkCombinedCode-True]
FAILED tests/test_filled.py::test_filled_simple_chunk[threaded-ChunkCombinedOffset-False]
FAILED tests/test_filled.py::test_filled_simple_chunk[threaded-ChunkCombinedOffset-True]
FAILED tests/test_filled.py::test_filled_simple_chunk[threaded-ChunkCombinedCodeOffset-False]
FAILED tests/test_filled.py::test_filled_simple_chunk[threaded-ChunkCombinedCodeOffset-True]
FAILED tests/test_filled.py::test_filled_simple_chunk[threaded-ChunkCombinedOffsetOffset-False]
FAILED tests/test_filled.py::test_filled_simple_chunk[threaded-ChunkCombinedOffsetOffset-True]
FAILED tests/test_filled.py::test_filled_simple_chunk_threads[2-OuterCode] - ...
FAILED tests/test_filled.py::test_filled_simple_chunk_threads[2-OuterOffset]
FAILED tests/test_filled.py::test_filled_simple_chunk_threads[2-ChunkCombinedCode]
FAILED tests/test_filled.py::test_filled_simple_chunk_threads[2-ChunkCombinedOffset]
FAILED tests/test_filled.py::test_filled_simple_chunk_threads[2-ChunkCombinedCodeOffset]
FAILED tests/test_filled.py::test_filled_simple_chunk_threads[2-ChunkCombinedOffsetOffset]
FAILED tests/test_filled.py::test_filled_simple_chunk_threads[3-OuterCode] - ...
FAILED tests/test_filled.py::test_filled_simple_chunk_threads[3-OuterOffset]
FAILED tests/test_filled.py::test_filled_simple_chunk_threads[3-ChunkCombinedCode]
FAILED tests/test_filled.py::test_filled_simple_chunk_threads[3-ChunkCombinedOffset]
FAILED tests/test_filled.py::test_filled_simple_chunk_threads[3-ChunkCombinedCodeOffset]
FAILED tests/test_filled.py::test_filled_simple_chunk_threads[3-ChunkCombinedOffsetOffset]
FAILED tests/test_filled.py::test_filled_simple_no_corner_mask[mpl2005-OuterCode]
FAILED tests/test_filled.py::test_filled_simple_no_corner_mask[mpl2014-OuterCode]
FAILED tests/test_filled.py::test_filled_simple_no_corner_mask[serial-OuterCode]
FAILED tests/test_filled.py::test_filled_simple_no_corner_mask[serial-OuterOffset]
FAILED tests/test_filled.py::test_filled_simple_no_corner_mask[serial-ChunkCombinedCode]
FAILED tests/test_filled.py::test_filled_simple_no_corner_mask[serial-ChunkCombinedOffset]
FAILED tests/test_filled.py::test_filled_simple_no_corner_mask[serial-ChunkCombinedCodeOffset]
FAILED tests/test_filled.py::test_filled_simple_no_corner_mask[serial-ChunkCombinedOffsetOffset]
FAILED tests/test_filled.py::test_filled_simple_no_corner_mask[threaded-OuterCode]
FAILED tests/test_filled.py::test_filled_simple_no_corner_mask[threaded-OuterOffset]
FAILED tests/test_filled.py::test_filled_simple_no_corner_mask[threaded-ChunkCombinedCode]
FAILED tests/test_filled.py::test_filled_simple_no_corner_mask[threaded-ChunkCombinedOffset]
FAILED tests/test_filled.py::test_filled_simple_no_corner_mask[threaded-ChunkCombinedCodeOffset]
FAILED tests/test_filled.py::test_filled_simple_no_corner_mask[threaded-ChunkCombinedOffsetOffset]
FAILED tests/test_filled.py::test_filled_simple_no_corner_mask_chunk[mpl2005-OuterCode]
FAILED tests/test_filled.py::test_filled_simple_no_corner_mask_chunk[mpl2014-OuterCode]
FAILED tests/test_filled.py::test_filled_simple_no_corner_mask_chunk[serial-OuterCode]
FAILED tests/test_filled.py::test_filled_simple_no_corner_mask_chunk[serial-OuterOffset]
FAILED tests/test_filled.py::test_filled_simple_no_corner_mask_chunk[serial-ChunkCombinedCode]
FAILED tests/test_filled.py::test_filled_simple_no_corner_mask_chunk[serial-ChunkCombinedOffset]
FAILED tests/test_filled.py::test_filled_simple_no_corner_mask_chunk[serial-ChunkCombinedCodeOffset]
FAILED tests/test_filled.py::test_filled_simple_no_corner_mask_chunk[serial-ChunkCombinedOffsetOffset]
FAILED tests/test_filled.py::test_filled_simple_no_corner_mask_chunk[threaded-OuterCode]
FAILED tests/test_filled.py::test_filled_simple_no_corner_mask_chunk[threaded-OuterOffset]
FAILED tests/test_filled.py::test_filled_simple_no_corner_mask_chunk[threaded-ChunkCombinedCode]
FAILED tests/test_filled.py::test_filled_simple_no_corner_mask_chunk[threaded-ChunkCombinedOffset]
FAILED tests/test_filled.py::test_filled_simple_no_corner_mask_chunk[threaded-ChunkCombinedCodeOffset]
FAILED tests/test_filled.py::test_filled_simple_no_corner_mask_chunk[threaded-ChunkCombinedOffsetOffset]
FAILED tests/test_filled.py::test_filled_simple_no_corner_mask_chunk_threads[2-OuterCode]
FAILED tests/test_filled.py::test_filled_simple_no_corner_mask_chunk_threads[2-OuterOffset]
FAILED tests/test_filled.py::test_filled_simple_no_corner_mask_chunk_threads[2-ChunkCombinedCode]
FAILED tests/test_filled.py::test_filled_simple_no_corner_mask_chunk_threads[2-ChunkCombinedOffset]
FAILED tests/test_filled.py::test_filled_simple_no_corner_mask_chunk_threads[2-ChunkCombinedCodeOffset]
FAILED tests/test_filled.py::test_filled_simple_no_corner_mask_chunk_threads[2-ChunkCombinedOffsetOffset]
FAILED tests/test_filled.py::test_filled_simple_no_corner_mask_chunk_threads[3-OuterCode]
FAILED tests/test_filled.py::test_filled_simple_no_corner_mask_chunk_threads[3-OuterOffset]
FAILED tests/test_filled.py::test_filled_simple_no_corner_mask_chunk_threads[3-ChunkCombinedCode]
FAILED tests/test_filled.py::test_filled_simple_no_corner_mask_chunk_threads[3-ChunkCombinedOffset]
FAILED tests/test_filled.py::test_filled_simple_no_corner_mask_chunk_threads[3-ChunkCombinedCodeOffset]
FAILED tests/test_filled.py::test_filled_simple_no_corner_mask_chunk_threads[3-ChunkCombinedOffsetOffset]
FAILED tests/test_filled.py::test_filled_simple_corner_mask[mpl2014] - Import...
FAILED tests/test_filled.py::test_filled_simple_corner_mask[serial] - ImportE...
FAILED tests/test_filled.py::test_filled_simple_corner_mask[threaded] - Impor...
FAILED tests/test_filled.py::test_filled_simple_corner_mask_chunk[mpl2014] - ...
FAILED tests/test_filled.py::test_filled_simple_corner_mask_chunk[serial] - I...
FAILED tests/test_filled.py::test_filled_simple_corner_mask_chunk[threaded]
FAILED tests/test_filled.py::test_filled_simple_corner_mask_chunk_threads[2-OuterCode]
FAILED tests/test_filled.py::test_filled_simple_corner_mask_chunk_threads[2-OuterOffset]
FAILED tests/test_filled.py::test_filled_simple_corner_mask_chunk_threads[2-ChunkCombinedCode]
FAILED tests/test_filled.py::test_filled_simple_corner_mask_chunk_threads[2-ChunkCombinedOffset]
FAILED tests/test_filled.py::test_filled_simple_corner_mask_chunk_threads[2-ChunkCombinedCodeOffset]
FAILED tests/test_filled.py::test_filled_simple_corner_mask_chunk_threads[2-ChunkCombinedOffsetOffset]
FAILED tests/test_filled.py::test_filled_simple_corner_mask_chunk_threads[3-OuterCode]
FAILED tests/test_filled.py::test_filled_simple_corner_mask_chunk_threads[3-OuterOffset]
FAILED tests/test_filled.py::test_filled_simple_corner_mask_chunk_threads[3-ChunkCombinedCode]
FAILED tests/test_filled.py::test_filled_simple_corner_mask_chunk_threads[3-ChunkCombinedOffset]
FAILED tests/test_filled.py::test_filled_simple_corner_mask_chunk_threads[3-ChunkCombinedCodeOffset]
FAILED tests/test_filled.py::test_filled_simple_corner_mask_chunk_threads[3-ChunkCombinedOffsetOffset]
FAILED tests/test_filled.py::test_filled_simple_quad_as_tri[serial] - ImportE...
FAILED tests/test_filled.py::test_filled_simple_quad_as_tri[threaded] - Impor...
FAILED tests/test_filled.py::test_filled_random[mpl2005-OuterCode-False] - Im...
FAILED tests/test_filled.py::test_filled_random[mpl2005-OuterCode-True] - Imp...
FAILED tests/test_filled.py::test_filled_random[mpl2014-OuterCode-False] - Im...
FAILED tests/test_filled.py::test_filled_random[mpl2014-OuterCode-True] - Imp...
FAILED tests/test_filled.py::test_filled_random[serial-OuterCode-False] - Imp...
FAILED tests/test_filled.py::test_filled_random[serial-OuterCode-True] - Impo...
FAILED tests/test_filled.py::test_filled_random[serial-OuterOffset-False] - I...
FAILED tests/test_filled.py::test_filled_random[serial-OuterOffset-True] - Im...
FAILED tests/test_filled.py::test_filled_random[serial-ChunkCombinedCode-False]
FAILED tests/test_filled.py::test_filled_random[serial-ChunkCombinedCode-True]
FAILED tests/test_filled.py::test_filled_random[serial-ChunkCombinedOffset-False]
FAILED tests/test_filled.py::test_filled_random[serial-ChunkCombinedOffset-True]
FAILED tests/test_filled.py::test_filled_random[serial-ChunkCombinedCodeOffset-False]
FAILED tests/test_filled.py::test_filled_random[serial-ChunkCombinedCodeOffset-True]
FAILED tests/test_filled.py::test_filled_random[serial-ChunkCombinedOffsetOffset-False]
FAILED tests/test_filled.py::test_filled_random[serial-ChunkCombinedOffsetOffset-True]
FAILED tests/test_filled.py::test_filled_random[threaded-OuterCode-False] - I...
FAILED tests/test_filled.py::test_filled_random[threaded-OuterCode-True] - Im...
FAILED tests/test_filled.py::test_filled_random[threaded-OuterOffset-False]
FAILED tests/test_filled.py::test_filled_random[threaded-OuterOffset-True] - ...
FAILED tests/test_filled.py::test_filled_random[threaded-ChunkCombinedCode-False]
FAILED tests/test_filled.py::test_filled_random[threaded-ChunkCombinedCode-True]
FAILED tests/test_filled.py::test_filled_random[threaded-ChunkCombinedOffset-False]
FAILED tests/test_filled.py::test_filled_random[threaded-ChunkCombinedOffset-True]
FAILED tests/test_filled.py::test_filled_random[threaded-ChunkCombinedCodeOffset-False]
FAILED tests/test_filled.py::test_filled_random[threaded-ChunkCombinedCodeOffset-True]
FAILED tests/test_filled.py::test_filled_random[threaded-ChunkCombinedOffsetOffset-False]
FAILED tests/test_filled.py::test_filled_random[threaded-ChunkCombinedOffsetOffset-True]
FAILED tests/test_filled.py::test_filled_random_chunk[mpl2005-OuterCode-False]
FAILED tests/test_filled.py::test_filled_random_chunk[mpl2005-OuterCode-True]
FAILED tests/test_filled.py::test_filled_random_chunk[mpl2014-OuterCode-False]
FAILED tests/test_filled.py::test_filled_random_chunk[mpl2014-OuterCode-True]
FAILED tests/test_filled.py::test_filled_random_chunk[serial-OuterCode-False]
FAILED tests/test_filled.py::test_filled_random_chunk[serial-OuterCode-True]
FAILED tests/test_filled.py::test_filled_random_chunk[serial-OuterOffset-False]
FAILED tests/test_filled.py::test_filled_random_chunk[serial-OuterOffset-True]
FAILED tests/test_filled.py::test_filled_random_chunk[serial-ChunkCombinedCode-False]
FAILED tests/test_filled.py::test_filled_random_chunk[serial-ChunkCombinedCode-True]
FAILED tests/test_filled.py::test_filled_random_chunk[serial-ChunkCombinedOffset-False]
FAILED tests/test_filled.py::test_filled_random_chunk[serial-ChunkCombinedOffset-True]
FAILED tests/test_filled.py::test_filled_random_chunk[serial-ChunkCombinedCodeOffset-False]
FAILED tests/test_filled.py::test_filled_random_chunk[serial-ChunkCombinedCodeOffset-True]
FAILED tests/test_filled.py::test_filled_random_chunk[serial-ChunkCombinedOffsetOffset-False]
FAILED tests/test_filled.py::test_filled_random_chunk[serial-ChunkCombinedOffsetOffset-True]
FAILED tests/test_filled.py::test_filled_random_chunk[threaded-OuterCode-False]
FAILED tests/test_filled.py::test_filled_random_chunk[threaded-OuterCode-True]
FAILED tests/test_filled.py::test_filled_random_chunk[threaded-OuterOffset-False]
FAILED tests/test_filled.py::test_filled_random_chunk[threaded-OuterOffset-True]
FAILED tests/test_filled.py::test_filled_random_chunk[threaded-ChunkCombinedCode-False]
FAILED tests/test_filled.py::test_filled_random_chunk[threaded-ChunkCombinedCode-True]
FAILED tests/test_filled.py::test_filled_random_chunk[threaded-ChunkCombinedOffset-False]
FAILED tests/test_filled.py::test_filled_random_chunk[threaded-ChunkCombinedOffset-True]
FAILED tests/test_filled.py::test_filled_random_chunk[threaded-ChunkCombinedCodeOffset-False]
FAILED tests/test_filled.py::test_filled_random_chunk[threaded-ChunkCombinedCodeOffset-True]
FAILED tests/test_filled.py::test_filled_random_chunk[threaded-ChunkCombinedOffsetOffset-False]
FAILED tests/test_filled.py::test_filled_random_chunk[threaded-ChunkCombinedOffsetOffset-True]
FAILED tests/test_filled.py::test_filled_random_chunk_threads[2-OuterCode] - ...
FAILED tests/test_filled.py::test_filled_random_chunk_threads[2-OuterOffset]
FAILED tests/test_filled.py::test_filled_random_chunk_threads[2-ChunkCombinedCode]
FAILED tests/test_filled.py::test_filled_random_chunk_threads[2-ChunkCombinedOffset]
FAILED tests/test_filled.py::test_filled_random_chunk_threads[2-ChunkCombinedCodeOffset]
FAILED tests/test_filled.py::test_filled_random_chunk_threads[2-ChunkCombinedOffsetOffset]
FAILED tests/test_filled.py::test_filled_random_chunk_threads[3-OuterCode] - ...
FAILED tests/test_filled.py::test_filled_random_chunk_threads[3-OuterOffset]
FAILED tests/test_filled.py::test_filled_random_chunk_threads[3-ChunkCombinedCode]
FAILED tests/test_filled.py::test_filled_random_chunk_threads[3-ChunkCombinedOffset]
FAILED tests/test_filled.py::test_filled_random_chunk_threads[3-ChunkCombinedCodeOffset]
FAILED tests/test_filled.py::test_filled_random_chunk_threads[3-ChunkCombinedOffsetOffset]
FAILED tests/test_filled.py::test_filled_random_no_corner_mask[mpl2005-OuterCode]
FAILED tests/test_filled.py::test_filled_random_no_corner_mask[mpl2014-OuterCode]
FAILED tests/test_filled.py::test_filled_random_no_corner_mask[serial-OuterCode]
FAILED tests/test_filled.py::test_filled_random_no_corner_mask[serial-OuterOffset]
FAILED tests/test_filled.py::test_filled_random_no_corner_mask[serial-ChunkCombinedCode]
FAILED tests/test_filled.py::test_filled_random_no_corner_mask[serial-ChunkCombinedOffset]
FAILED tests/test_filled.py::test_filled_random_no_corner_mask[serial-ChunkCombinedCodeOffset]
FAILED tests/test_filled.py::test_filled_random_no_corner_mask[serial-ChunkCombinedOffsetOffset]
FAILED tests/test_filled.py::test_filled_random_no_corner_mask[threaded-OuterCode]
FAILED tests/test_filled.py::test_filled_random_no_corner_mask[threaded-OuterOffset]
FAILED tests/test_filled.py::test_filled_random_no_corner_mask[threaded-ChunkCombinedCode]
FAILED tests/test_filled.py::test_filled_random_no_corner_mask[threaded-ChunkCombinedOffset]
FAILED tests/test_filled.py::test_filled_random_no_corner_mask[threaded-ChunkCombinedCodeOffset]
FAILED tests/test_filled.py::test_filled_random_no_corner_mask[threaded-ChunkCombinedOffsetOffset]
FAILED tests/test_filled.py::test_filled_random_no_corner_mask_chunk[mpl2005-OuterCode]
FAILED tests/test_filled.py::test_filled_random_no_corner_mask_chunk[mpl2014-OuterCode]
FAILED tests/test_filled.py::test_filled_random_no_corner_mask_chunk[serial-OuterCode]
FAILED tests/test_filled.py::test_filled_random_no_corner_mask_chunk[serial-OuterOffset]
FAILED tests/test_filled.py::test_filled_random_no_corner_mask_chunk[serial-ChunkCombinedCode]
FAILED tests/test_filled.py::test_filled_random_no_corner_mask_chunk[serial-ChunkCombinedOffset]
FAILED tests/test_filled.py::test_filled_random_no_corner_mask_chunk[serial-ChunkCombinedCodeOffset]
FAILED tests/test_filled.py::test_filled_random_no_corner_mask_chunk[serial-ChunkCombinedOffsetOffset]
FAILED tests/test_filled.py::test_filled_random_no_corner_mask_chunk[threaded-OuterCode]
FAILED tests/test_filled.py::test_filled_random_no_corner_mask_chunk[threaded-OuterOffset]
FAILED tests/test_filled.py::test_filled_random_no_corner_mask_chunk[threaded-ChunkCombinedCode]
FAILED tests/test_filled.py::test_filled_random_no_corner_mask_chunk[threaded-ChunkCombinedOffset]
FAILED tests/test_filled.py::test_filled_random_no_corner_mask_chunk[threaded-ChunkCombinedCodeOffset]
FAILED tests/test_filled.py::test_filled_random_no_corner_mask_chunk[threaded-ChunkCombinedOffsetOffset]
FAILED tests/test_filled.py::test_filled_random_no_corner_mask_chunk_threads[2-OuterCode]
FAILED tests/test_filled.py::test_filled_random_no_corner_mask_chunk_threads[2-OuterOffset]
FAILED tests/test_filled.py::test_filled_random_no_corner_mask_chunk_threads[2-ChunkCombinedCode]
FAILED tests/test_filled.py::test_filled_random_no_corner_mask_chunk_threads[2-ChunkCombinedOffset]
FAILED tests/test_filled.py::test_filled_random_no_corner_mask_chunk_threads[2-ChunkCombinedCodeOffset]
FAILED tests/test_filled.py::test_filled_random_no_corner_mask_chunk_threads[2-ChunkCombinedOffsetOffset]
FAILED tests/test_filled.py::test_filled_random_no_corner_mask_chunk_threads[3-OuterCode]
FAILED tests/test_filled.py::test_filled_random_no_corner_mask_chunk_threads[3-OuterOffset]
FAILED tests/test_filled.py::test_filled_random_no_corner_mask_chunk_threads[3-ChunkCombinedCode]
FAILED tests/test_filled.py::test_filled_random_no_corner_mask_chunk_threads[3-ChunkCombinedOffset]
FAILED tests/test_filled.py::test_filled_random_no_corner_mask_chunk_threads[3-ChunkCombinedCodeOffset]
FAILED tests/test_filled.py::test_filled_random_no_corner_mask_chunk_threads[3-ChunkCombinedOffsetOffset]
FAILED tests/test_filled.py::test_filled_random_corner_mask[mpl2014] - Import...
FAILED tests/test_filled.py::test_filled_random_corner_mask[serial] - ImportE...
FAILED tests/test_filled.py::test_filled_random_corner_mask[threaded] - Impor...
FAILED tests/test_filled.py::test_filled_random_corner_mask_chunk[mpl2014] - ...
FAILED tests/test_filled.py::test_filled_random_corner_mask_chunk[serial] - I...
FAILED tests/test_filled.py::test_filled_random_corner_mask_chunk[threaded]
FAILED tests/test_filled.py::test_filled_random_corner_mask_chunk_threads[2-OuterCode]
FAILED tests/test_filled.py::test_filled_random_corner_mask_chunk_threads[2-OuterOffset]
FAILED tests/test_filled.py::test_filled_random_corner_mask_chunk_threads[2-ChunkCombinedCode]
FAILED tests/test_filled.py::test_filled_random_corner_mask_chunk_threads[2-ChunkCombinedOffset]
FAILED tests/test_filled.py::test_filled_random_corner_mask_chunk_threads[2-ChunkCombinedCodeOffset]
FAILED tests/test_filled.py::test_filled_random_corner_mask_chunk_threads[2-ChunkCombinedOffsetOffset]
FAILED tests/test_filled.py::test_filled_random_corner_mask_chunk_threads[3-OuterCode]
FAILED tests/test_filled.py::test_filled_random_corner_mask_chunk_threads[3-OuterOffset]
FAILED tests/test_filled.py::test_filled_random_corner_mask_chunk_threads[3-ChunkCombinedCode]
FAILED tests/test_filled.py::test_filled_random_corner_mask_chunk_threads[3-ChunkCombinedOffset]
FAILED tests/test_filled.py::test_filled_random_corner_mask_chunk_threads[3-ChunkCombinedCodeOffset]
FAILED tests/test_filled.py::test_filled_random_corner_mask_chunk_threads[3-ChunkCombinedOffsetOffset]
FAILED tests/test_filled.py::test_filled_random_quad_as_tri[serial] - ImportE...
FAILED tests/test_filled.py::test_filled_random_quad_as_tri[threaded] - Impor...
FAILED tests/test_lines.py::test_lines_simple[mpl2005-SeparateCode-False] - I...
FAILED tests/test_lines.py::test_lines_simple[mpl2005-SeparateCode-True] - Im...
FAILED tests/test_lines.py::test_lines_simple[mpl2014-SeparateCode-False] - I...
FAILED tests/test_lines.py::test_lines_simple[mpl2014-SeparateCode-True] - Im...
FAILED tests/test_lines.py::test_lines_simple[serial-Separate-False] - Import...
FAILED tests/test_lines.py::test_lines_simple[serial-Separate-True] - ImportE...
FAILED tests/test_lines.py::test_lines_simple[serial-SeparateCode-False] - Im...
FAILED tests/test_lines.py::test_lines_simple[serial-SeparateCode-True] - Imp...
FAILED tests/test_lines.py::test_lines_simple[serial-ChunkCombinedCode-False]
FAILED tests/test_lines.py::test_lines_simple[serial-ChunkCombinedCode-True]
FAILED tests/test_lines.py::test_lines_simple[serial-ChunkCombinedOffset-False]
FAILED tests/test_lines.py::test_lines_simple[serial-ChunkCombinedOffset-True]
FAILED tests/test_lines.py::test_lines_simple[serial-ChunkCombinedNan-False]
FAILED tests/test_lines.py::test_lines_simple[serial-ChunkCombinedNan-True]
FAILED tests/test_lines.py::test_lines_simple[threaded-Separate-False] - Impo...
FAILED tests/test_lines.py::test_lines_simple[threaded-Separate-True] - Impor...
FAILED tests/test_lines.py::test_lines_simple[threaded-SeparateCode-False] - ...
FAILED tests/test_lines.py::test_lines_simple[threaded-SeparateCode-True] - I...
FAILED tests/test_lines.py::test_lines_simple[threaded-ChunkCombinedCode-False]
FAILED tests/test_lines.py::test_lines_simple[threaded-ChunkCombinedCode-True]
FAILED tests/test_lines.py::test_lines_simple[threaded-ChunkCombinedOffset-False]
FAILED tests/test_lines.py::test_lines_simple[threaded-ChunkCombinedOffset-True]
FAILED tests/test_lines.py::test_lines_simple[threaded-ChunkCombinedNan-False]
FAILED tests/test_lines.py::test_lines_simple[threaded-ChunkCombinedNan-True]
FAILED tests/test_lines.py::test_lines_simple_chunk[mpl2005-SeparateCode-False]
FAILED tests/test_lines.py::test_lines_simple_chunk[mpl2005-SeparateCode-True]
FAILED tests/test_lines.py::test_lines_simple_chunk[mpl2014-SeparateCode-False]
FAILED tests/test_lines.py::test_lines_simple_chunk[mpl2014-SeparateCode-True]
FAILED tests/test_lines.py::test_lines_simple_chunk[serial-Separate-False] - ...
FAILED tests/test_lines.py::test_lines_simple_chunk[serial-Separate-True] - I...
FAILED tests/test_lines.py::test_lines_simple_chunk[serial-SeparateCode-False]
FAILED tests/test_lines.py::test_lines_simple_chunk[serial-SeparateCode-True]
FAILED tests/test_lines.py::test_lines_simple_chunk[serial-ChunkCombinedCode-False]
FAILED tests/test_lines.py::test_lines_simple_chunk[serial-ChunkCombinedCode-True]
FAILED tests/test_lines.py::test_lines_simple_chunk[serial-ChunkCombinedOffset-False]
FAILED tests/test_lines.py::test_lines_simple_chunk[serial-ChunkCombinedOffset-True]
FAILED tests/test_lines.py::test_lines_simple_chunk[serial-ChunkCombinedNan-False]
FAILED tests/test_lines.py::test_lines_simple_chunk[serial-ChunkCombinedNan-True]
FAILED tests/test_lines.py::test_lines_simple_chunk[threaded-Separate-False]
FAILED tests/test_lines.py::test_lines_simple_chunk[threaded-Separate-True]
FAILED tests/test_lines.py::test_lines_simple_chunk[threaded-SeparateCode-False]
FAILED tests/test_lines.py::test_lines_simple_chunk[threaded-SeparateCode-True]
FAILED tests/test_lines.py::test_lines_simple_chunk[threaded-ChunkCombinedCode-False]
FAILED tests/test_lines.py::test_lines_simple_chunk[threaded-ChunkCombinedCode-True]
FAILED tests/test_lines.py::test_lines_simple_chunk[threaded-ChunkCombinedOffset-False]
FAILED tests/test_lines.py::test_lines_simple_chunk[threaded-ChunkCombinedOffset-True]
FAILED tests/test_lines.py::test_lines_simple_chunk[threaded-ChunkCombinedNan-False]
FAILED tests/test_lines.py::test_lines_simple_chunk[threaded-ChunkCombinedNan-True]
FAILED tests/test_lines.py::test_lines_simple_chunk_threads[2-Separate] - Imp...
FAILED tests/test_lines.py::test_lines_simple_chunk_threads[2-SeparateCode]
FAILED tests/test_lines.py::test_lines_simple_chunk_threads[2-ChunkCombinedCode]
FAILED tests/test_lines.py::test_lines_simple_chunk_threads[2-ChunkCombinedOffset]
FAILED tests/test_lines.py::test_lines_simple_chunk_threads[2-ChunkCombinedNan]
FAILED tests/test_lines.py::test_lines_simple_chunk_threads[3-Separate] - Imp...
FAILED tests/test_lines.py::test_lines_simple_chunk_threads[3-SeparateCode]
FAILED tests/test_lines.py::test_lines_simple_chunk_threads[3-ChunkCombinedCode]
FAILED tests/test_lines.py::test_lines_simple_chunk_threads[3-ChunkCombinedOffset]
FAILED tests/test_lines.py::test_lines_simple_chunk_threads[3-ChunkCombinedNan]
FAILED tests/test_lines.py::test_lines_simple_no_corner_mask[mpl2005-SeparateCode]
FAILED tests/test_lines.py::test_lines_simple_no_corner_mask[mpl2014-SeparateCode]
FAILED tests/test_lines.py::test_lines_simple_no_corner_mask[serial-Separate]
FAILED tests/test_lines.py::test_lines_simple_no_corner_mask[serial-SeparateCode]
FAILED tests/test_lines.py::test_lines_simple_no_corner_mask[serial-ChunkCombinedCode]
FAILED tests/test_lines.py::test_lines_simple_no_corner_mask[serial-ChunkCombinedOffset]
FAILED tests/test_lines.py::test_lines_simple_no_corner_mask[serial-ChunkCombinedNan]
FAILED tests/test_lines.py::test_lines_simple_no_corner_mask[threaded-Separate]
FAILED tests/test_lines.py::test_lines_simple_no_corner_mask[threaded-SeparateCode]
FAILED tests/test_lines.py::test_lines_simple_no_corner_mask[threaded-ChunkCombinedCode]
FAILED tests/test_lines.py::test_lines_simple_no_corner_mask[threaded-ChunkCombinedOffset]
FAILED tests/test_lines.py::test_lines_simple_no_corner_mask[threaded-ChunkCombinedNan]
FAILED tests/test_lines.py::test_lines_simple_no_corner_mask_chunk[mpl2005-SeparateCode]
FAILED tests/test_lines.py::test_lines_simple_no_corner_mask_chunk[mpl2014-SeparateCode]
FAILED tests/test_lines.py::test_lines_simple_no_corner_mask_chunk[serial-Separate]
FAILED tests/test_lines.py::test_lines_simple_no_corner_mask_chunk[serial-SeparateCode]
FAILED tests/test_lines.py::test_lines_simple_no_corner_mask_chunk[serial-ChunkCombinedCode]
FAILED tests/test_lines.py::test_lines_simple_no_corner_mask_chunk[serial-ChunkCombinedOffset]
FAILED tests/test_lines.py::test_lines_simple_no_corner_mask_chunk[serial-ChunkCombinedNan]
FAILED tests/test_lines.py::test_lines_simple_no_corner_mask_chunk[threaded-Separate]
FAILED tests/test_lines.py::test_lines_simple_no_corner_mask_chunk[threaded-SeparateCode]
FAILED tests/test_lines.py::test_lines_simple_no_corner_mask_chunk[threaded-ChunkCombinedCode]
FAILED tests/test_lines.py::test_lines_simple_no_corner_mask_chunk[threaded-ChunkCombinedOffset]
FAILED tests/test_lines.py::test_lines_simple_no_corner_mask_chunk[threaded-ChunkCombinedNan]
FAILED tests/test_lines.py::test_lines_simple_no_corner_mask_chunk_threads[2-Separate]
FAILED tests/test_lines.py::test_lines_simple_no_corner_mask_chunk_threads[2-SeparateCode]
FAILED tests/test_lines.py::test_lines_simple_no_corner_mask_chunk_threads[2-ChunkCombinedCode]
FAILED tests/test_lines.py::test_lines_simple_no_corner_mask_chunk_threads[2-ChunkCombinedOffset]
FAILED tests/test_lines.py::test_lines_simple_no_corner_mask_chunk_threads[2-ChunkCombinedNan]
FAILED tests/test_lines.py::test_lines_simple_no_corner_mask_chunk_threads[3-Separate]
FAILED tests/test_lines.py::test_lines_simple_no_corner_mask_chunk_threads[3-SeparateCode]
FAILED tests/test_lines.py::test_lines_simple_no_corner_mask_chunk_threads[3-ChunkCombinedCode]
FAILED tests/test_lines.py::test_lines_simple_no_corner_mask_chunk_threads[3-ChunkCombinedOffset]
FAILED tests/test_lines.py::test_lines_simple_no_corner_mask_chunk_threads[3-ChunkCombinedNan]
FAILED tests/test_lines.py::test_lines_simple_corner_mask[mpl2014] - ImportEr...
FAILED tests/test_lines.py::test_lines_simple_corner_mask[serial] - ImportErr...
FAILED tests/test_lines.py::test_lines_simple_corner_mask[threaded] - ImportE...
FAILED tests/test_lines.py::test_lines_simple_corner_mask_chunk[mpl2014] - Im...
FAILED tests/test_lines.py::test_lines_simple_corner_mask_chunk[serial] - Imp...
FAILED tests/test_lines.py::test_lines_simple_corner_mask_chunk[threaded] - I...
FAILED tests/test_lines.py::test_lines_simple_corner_mask_chunk_threads[2-Separate]
FAILED tests/test_lines.py::test_lines_simple_corner_mask_chunk_threads[2-SeparateCode]
FAILED tests/test_lines.py::test_lines_simple_corner_mask_chunk_threads[2-ChunkCombinedCode]
FAILED tests/test_lines.py::test_lines_simple_corner_mask_chunk_threads[2-ChunkCombinedOffset]
FAILED tests/test_lines.py::test_lines_simple_corner_mask_chunk_threads[2-ChunkCombinedNan]
FAILED tests/test_lines.py::test_lines_simple_corner_mask_chunk_threads[3-Separate]
FAILED tests/test_lines.py::test_lines_simple_corner_mask_chunk_threads[3-SeparateCode]
FAILED tests/test_lines.py::test_lines_simple_corner_mask_chunk_threads[3-ChunkCombinedCode]
FAILED tests/test_lines.py::test_lines_simple_corner_mask_chunk_threads[3-ChunkCombinedOffset]
FAILED tests/test_lines.py::test_lines_simple_corner_mask_chunk_threads[3-ChunkCombinedNan]
FAILED tests/test_lines.py::test_lines_simple_quad_as_tri[serial] - ImportErr...
FAILED tests/test_lines.py::test_lines_simple_quad_as_tri[threaded] - ImportE...
FAILED tests/test_lines.py::test_lines_random[mpl2005-SeparateCode-False] - I...
FAILED tests/test_lines.py::test_lines_random[mpl2005-SeparateCode-True] - Im...
FAILED tests/test_lines.py::test_lines_random[mpl2014-SeparateCode-False] - I...
FAILED tests/test_lines.py::test_lines_random[mpl2014-SeparateCode-True] - Im...
FAILED tests/test_lines.py::test_lines_random[serial-Separate-False] - Import...
FAILED tests/test_lines.py::test_lines_random[serial-Separate-True] - ImportE...
FAILED tests/test_lines.py::test_lines_random[serial-SeparateCode-False] - Im...
FAILED tests/test_lines.py::test_lines_random[serial-SeparateCode-True] - Imp...
FAILED tests/test_lines.py::test_lines_random[serial-ChunkCombinedCode-False]
FAILED tests/test_lines.py::test_lines_random[serial-ChunkCombinedCode-True]
FAILED tests/test_lines.py::test_lines_random[serial-ChunkCombinedOffset-False]
FAILED tests/test_lines.py::test_lines_random[serial-ChunkCombinedOffset-True]
FAILED tests/test_lines.py::test_lines_random[serial-ChunkCombinedNan-False]
FAILED tests/test_lines.py::test_lines_random[serial-ChunkCombinedNan-True]
FAILED tests/test_lines.py::test_lines_random[threaded-Separate-False] - Impo...
FAILED tests/test_lines.py::test_lines_random[threaded-Separate-True] - Impor...
FAILED tests/test_lines.py::test_lines_random[threaded-SeparateCode-False] - ...
FAILED tests/test_lines.py::test_lines_random[threaded-SeparateCode-True] - I...
FAILED tests/test_lines.py::test_lines_random[threaded-ChunkCombinedCode-False]
FAILED tests/test_lines.py::test_lines_random[threaded-ChunkCombinedCode-True]
FAILED tests/test_lines.py::test_lines_random[threaded-ChunkCombinedOffset-False]
FAILED tests/test_lines.py::test_lines_random[threaded-ChunkCombinedOffset-True]
FAILED tests/test_lines.py::test_lines_random[threaded-ChunkCombinedNan-False]
FAILED tests/test_lines.py::test_lines_random[threaded-ChunkCombinedNan-True]
FAILED tests/test_lines.py::test_lines_random_chunk[mpl2005-SeparateCode-False]
FAILED tests/test_lines.py::test_lines_random_chunk[mpl2005-SeparateCode-True]
FAILED tests/test_lines.py::test_lines_random_chunk[mpl2014-SeparateCode-False]
FAILED tests/test_lines.py::test_lines_random_chunk[mpl2014-SeparateCode-True]
FAILED tests/test_lines.py::test_lines_random_chunk[serial-Separate-False] - ...
FAILED tests/test_lines.py::test_lines_random_chunk[serial-Separate-True] - I...
FAILED tests/test_lines.py::test_lines_random_chunk[serial-SeparateCode-False]
FAILED tests/test_lines.py::test_lines_random_chunk[serial-SeparateCode-True]
FAILED tests/test_lines.py::test_lines_random_chunk[serial-ChunkCombinedCode-False]
FAILED tests/test_lines.py::test_lines_random_chunk[serial-ChunkCombinedCode-True]
FAILED tests/test_lines.py::test_lines_random_chunk[serial-ChunkCombinedOffset-False]
FAILED tests/test_lines.py::test_lines_random_chunk[serial-ChunkCombinedOffset-True]
FAILED tests/test_lines.py::test_lines_random_chunk[serial-ChunkCombinedNan-False]
FAILED tests/test_lines.py::test_lines_random_chunk[serial-ChunkCombinedNan-True]
FAILED tests/test_lines.py::test_lines_random_chunk[threaded-Separate-False]
FAILED tests/test_lines.py::test_lines_random_chunk[threaded-Separate-True]
FAILED tests/test_lines.py::test_lines_random_chunk[threaded-SeparateCode-False]
FAILED tests/test_lines.py::test_lines_random_chunk[threaded-SeparateCode-True]
FAILED tests/test_lines.py::test_lines_random_chunk[threaded-ChunkCombinedCode-False]
FAILED tests/test_lines.py::test_lines_random_chunk[threaded-ChunkCombinedCode-True]
FAILED tests/test_lines.py::test_lines_random_chunk[threaded-ChunkCombinedOffset-False]
FAILED tests/test_lines.py::test_lines_random_chunk[threaded-ChunkCombinedOffset-True]
FAILED tests/test_lines.py::test_lines_random_chunk[threaded-ChunkCombinedNan-False]
FAILED tests/test_lines.py::test_lines_random_chunk[threaded-ChunkCombinedNan-True]
FAILED tests/test_lines.py::test_lines_random_chunk_threads[2-Separate] - Imp...
FAILED tests/test_lines.py::test_lines_random_chunk_threads[2-SeparateCode]
FAILED tests/test_lines.py::test_lines_random_chunk_threads[2-ChunkCombinedCode]
FAILED tests/test_lines.py::test_lines_random_chunk_threads[2-ChunkCombinedOffset]
FAILED tests/test_lines.py::test_lines_random_chunk_threads[2-ChunkCombinedNan]
FAILED tests/test_lines.py::test_lines_random_chunk_threads[3-Separate] - Imp...
FAILED tests/test_lines.py::test_lines_random_chunk_threads[3-SeparateCode]
FAILED tests/test_lines.py::test_lines_random_chunk_threads[3-ChunkCombinedCode]
FAILED tests/test_lines.py::test_lines_random_chunk_threads[3-ChunkCombinedOffset]
FAILED tests/test_lines.py::test_lines_random_chunk_threads[3-ChunkCombinedNan]
FAILED tests/test_lines.py::test_lines_random_no_corner_mask[mpl2005-SeparateCode]
FAILED tests/test_lines.py::test_lines_random_no_corner_mask[mpl2014-SeparateCode]
FAILED tests/test_lines.py::test_lines_random_no_corner_mask[serial-Separate]
FAILED tests/test_lines.py::test_lines_random_no_corner_mask[serial-SeparateCode]
FAILED tests/test_lines.py::test_lines_random_no_corner_mask[serial-ChunkCombinedCode]
FAILED tests/test_lines.py::test_lines_random_no_corner_mask[serial-ChunkCombinedOffset]
FAILED tests/test_lines.py::test_lines_random_no_corner_mask[serial-ChunkCombinedNan]
FAILED tests/test_lines.py::test_lines_random_no_corner_mask[threaded-Separate]
FAILED tests/test_lines.py::test_lines_random_no_corner_mask[threaded-SeparateCode]
FAILED tests/test_lines.py::test_lines_random_no_corner_mask[threaded-ChunkCombinedCode]
FAILED tests/test_lines.py::test_lines_random_no_corner_mask[threaded-ChunkCombinedOffset]
FAILED tests/test_lines.py::test_lines_random_no_corner_mask[threaded-ChunkCombinedNan]
FAILED tests/test_lines.py::test_lines_random_no_corner_mask_chunk[mpl2005-SeparateCode]
FAILED tests/test_lines.py::test_lines_random_no_corner_mask_chunk[mpl2014-SeparateCode]
FAILED tests/test_lines.py::test_lines_random_no_corner_mask_chunk[serial-Separate]
FAILED tests/test_lines.py::test_lines_random_no_corner_mask_chunk[serial-SeparateCode]
FAILED tests/test_lines.py::test_lines_random_no_corner_mask_chunk[serial-ChunkCombinedCode]
FAILED tests/test_lines.py::test_lines_random_no_corner_mask_chunk[serial-ChunkCombinedOffset]
FAILED tests/test_lines.py::test_lines_random_no_corner_mask_chunk[serial-ChunkCombinedNan]
FAILED tests/test_lines.py::test_lines_random_no_corner_mask_chunk[threaded-Separate]
FAILED tests/test_lines.py::test_lines_random_no_corner_mask_chunk[threaded-SeparateCode]
FAILED tests/test_lines.py::test_lines_random_no_corner_mask_chunk[threaded-ChunkCombinedCode]
FAILED tests/test_lines.py::test_lines_random_no_corner_mask_chunk[threaded-ChunkCombinedOffset]
FAILED tests/test_lines.py::test_lines_random_no_corner_mask_chunk[threaded-ChunkCombinedNan]
FAILED tests/test_lines.py::test_lines_random_no_corner_mask_chunk_threads[2-Separate]
FAILED tests/test_lines.py::test_lines_random_no_corner_mask_chunk_threads[2-SeparateCode]
FAILED tests/test_lines.py::test_lines_random_no_corner_mask_chunk_threads[2-ChunkCombinedCode]
FAILED tests/test_lines.py::test_lines_random_no_corner_mask_chunk_threads[2-ChunkCombinedOffset]
FAILED tests/test_lines.py::test_lines_random_no_corner_mask_chunk_threads[2-ChunkCombinedNan]
FAILED tests/test_lines.py::test_lines_random_no_corner_mask_chunk_threads[3-Separate]
FAILED tests/test_lines.py::test_lines_random_no_corner_mask_chunk_threads[3-SeparateCode]
FAILED tests/test_lines.py::test_lines_random_no_corner_mask_chunk_threads[3-ChunkCombinedCode]
FAILED tests/test_lines.py::test_lines_random_no_corner_mask_chunk_threads[3-ChunkCombinedOffset]
FAILED tests/test_lines.py::test_lines_random_no_corner_mask_chunk_threads[3-ChunkCombinedNan]
FAILED tests/test_lines.py::test_lines_random_corner_mask[mpl2014] - ImportEr...
FAILED tests/test_lines.py::test_lines_random_corner_mask[serial] - ImportErr...
FAILED tests/test_lines.py::test_lines_random_corner_mask[threaded] - ImportE...
FAILED tests/test_lines.py::test_lines_random_corner_mask_chunk[mpl2014] - Im...
FAILED tests/test_lines.py::test_lines_random_corner_mask_chunk[serial] - Imp...
FAILED tests/test_lines.py::test_lines_random_corner_mask_chunk[threaded] - I...
FAILED tests/test_lines.py::test_lines_random_corner_mask_chunk_threads[2-Separate]
FAILED tests/test_lines.py::test_lines_random_corner_mask_chunk_threads[2-SeparateCode]
FAILED tests/test_lines.py::test_lines_random_corner_mask_chunk_threads[2-ChunkCombinedCode]
FAILED tests/test_lines.py::test_lines_random_corner_mask_chunk_threads[2-ChunkCombinedOffset]
FAILED tests/test_lines.py::test_lines_random_corner_mask_chunk_threads[2-ChunkCombinedNan]
FAILED tests/test_lines.py::test_lines_random_corner_mask_chunk_threads[3-Separate]
FAILED tests/test_lines.py::test_lines_random_corner_mask_chunk_threads[3-SeparateCode]
FAILED tests/test_lines.py::test_lines_random_corner_mask_chunk_threads[3-ChunkCombinedCode]
FAILED tests/test_lines.py::test_lines_random_corner_mask_chunk_threads[3-ChunkCombinedOffset]
FAILED tests/test_lines.py::test_lines_random_corner_mask_chunk_threads[3-ChunkCombinedNan]
FAILED tests/test_lines.py::test_lines_random_quad_as_tri[serial] - ImportErr...
FAILED tests/test_lines.py::test_lines_random_quad_as_tri[threaded] - ImportE...
FAILED tests/test_renderer.py::test_debug_renderer_filled[False-OuterCode0-False]
FAILED tests/test_renderer.py::test_debug_renderer_filled[False-OuterOffset-False]
FAILED tests/test_renderer.py::test_debug_renderer_filled[False-ChunkCombinedCode-False]
FAILED tests/test_renderer.py::test_debug_renderer_filled[False-ChunkCombinedOffset-False]
FAILED tests/test_renderer.py::test_debug_renderer_filled[False-ChunkCombinedCodeOffset-False]
FAILED tests/test_renderer.py::test_debug_renderer_filled[False-ChunkCombinedOffsetOffset-False]
FAILED tests/test_renderer.py::test_debug_renderer_filled[False-OuterCode1-False]
FAILED tests/test_renderer.py::test_debug_renderer_filled[True-OuterCode0-False]
FAILED tests/test_renderer.py::test_debug_renderer_filled[True-OuterOffset-False]
FAILED tests/test_renderer.py::test_debug_renderer_filled[True-ChunkCombinedCode-False]
FAILED tests/test_renderer.py::test_debug_renderer_filled[True-ChunkCombinedOffset-False]
FAILED tests/test_renderer.py::test_debug_renderer_filled[True-ChunkCombinedCodeOffset-False]
FAILED tests/test_renderer.py::test_debug_renderer_filled[True-ChunkCombinedOffsetOffset-False]
FAILED tests/test_renderer.py::test_debug_renderer_filled[True-OuterCode1-False]
FAILED tests/test_renderer.py::test_debug_renderer_lines[False-Separate0-False]
FAILED tests/test_renderer.py::test_debug_renderer_lines[False-SeparateCode-False]
FAILED tests/test_renderer.py::test_debug_renderer_lines[False-ChunkCombinedCode-False]
FAILED tests/test_renderer.py::test_debug_renderer_lines[False-ChunkCombinedOffset-False]
FAILED tests/test_renderer.py::test_debug_renderer_lines[False-ChunkCombinedNan-False]
FAILED tests/test_renderer.py::test_debug_renderer_lines[False-Separate1-False]
FAILED tests/test_renderer.py::test_debug_renderer_lines[True-Separate0-False]
FAILED tests/test_renderer.py::test_debug_renderer_lines[True-SeparateCode-False]
FAILED tests/test_renderer.py::test_debug_renderer_lines[True-ChunkCombinedCode-False]
FAILED tests/test_renderer.py::test_debug_renderer_lines[True-ChunkCombinedOffset-False]
FAILED tests/test_renderer.py::test_debug_renderer_lines[True-ChunkCombinedNan-False]
FAILED tests/test_renderer.py::test_debug_renderer_lines[True-Separate1-False]
FAILED tests/test_renderer.py::test_renderer_filled[False-OuterCode0-False-False]
FAILED tests/test_renderer.py::test_renderer_filled[False-OuterCode0-True-False]
FAILED tests/test_renderer.py::test_renderer_filled[False-OuterOffset-False-False]
FAILED tests/test_renderer.py::test_renderer_filled[False-OuterOffset-True-False]
FAILED tests/test_renderer.py::test_renderer_filled[False-ChunkCombinedCode-False-False]
FAILED tests/test_renderer.py::test_renderer_filled[False-ChunkCombinedCode-True-False]
FAILED tests/test_renderer.py::test_renderer_filled[False-ChunkCombinedOffset-False-False]
FAILED tests/test_renderer.py::test_renderer_filled[False-ChunkCombinedOffset-True-False]
FAILED tests/test_renderer.py::test_renderer_filled[False-ChunkCombinedCodeOffset-False-False]
FAILED tests/test_renderer.py::test_renderer_filled[False-ChunkCombinedCodeOffset-True-False]
FAILED tests/test_renderer.py::test_renderer_filled[False-ChunkCombinedOffsetOffset-False-False]
FAILED tests/test_renderer.py::test_renderer_filled[False-ChunkCombinedOffsetOffset-True-False]
FAILED tests/test_renderer.py::test_renderer_filled[False-OuterCode1-False-False]
FAILED tests/test_renderer.py::test_renderer_filled[False-OuterCode1-True-False]
FAILED tests/test_renderer.py::test_renderer_filled[True-OuterCode0-False-False]
FAILED tests/test_renderer.py::test_renderer_filled[True-OuterCode0-True-False]
FAILED tests/test_renderer.py::test_renderer_filled[True-OuterOffset-False-False]
FAILED tests/test_renderer.py::test_renderer_filled[True-OuterOffset-True-False]
FAILED tests/test_renderer.py::test_renderer_filled[True-ChunkCombinedCode-False-False]
FAILED tests/test_renderer.py::test_renderer_filled[True-ChunkCombinedCode-True-False]
FAILED tests/test_renderer.py::test_renderer_filled[True-ChunkCombinedOffset-False-False]
FAILED tests/test_renderer.py::test_renderer_filled[True-ChunkCombinedOffset-True-False]
FAILED tests/test_renderer.py::test_renderer_filled[True-ChunkCombinedCodeOffset-False-False]
FAILED tests/test_renderer.py::test_renderer_filled[True-ChunkCombinedCodeOffset-True-False]
FAILED tests/test_renderer.py::test_renderer_filled[True-ChunkCombinedOffsetOffset-False-False]
FAILED tests/test_renderer.py::test_renderer_filled[True-ChunkCombinedOffsetOffset-True-False]
FAILED tests/test_renderer.py::test_renderer_filled[True-OuterCode1-False-False]
FAILED tests/test_renderer.py::test_renderer_filled[True-OuterCode1-True-False]
FAILED tests/test_renderer.py::test_renderer_lines[False-Separate0-False-False]
FAILED tests/test_renderer.py::test_renderer_lines[False-Separate0-True-False]
FAILED tests/test_renderer.py::test_renderer_lines[False-SeparateCode-False-False]
FAILED tests/test_renderer.py::test_renderer_lines[False-SeparateCode-True-False]
FAILED tests/test_renderer.py::test_renderer_lines[False-ChunkCombinedCode-False-False]
FAILED tests/test_renderer.py::test_renderer_lines[False-ChunkCombinedCode-True-False]
FAILED tests/test_renderer.py::test_renderer_lines[False-ChunkCombinedOffset-False-False]
FAILED tests/test_renderer.py::test_renderer_lines[False-ChunkCombinedOffset-True-False]
FAILED tests/test_renderer.py::test_renderer_lines[False-ChunkCombinedNan-False-False]
FAILED tests/test_renderer.py::test_renderer_lines[False-ChunkCombinedNan-True-False]
FAILED tests/test_renderer.py::test_renderer_lines[False-Separate1-False-False]
FAILED tests/test_renderer.py::test_renderer_lines[False-Separate1-True-False]
FAILED tests/test_renderer.py::test_renderer_lines[True-Separate0-False-False]
FAILED tests/test_renderer.py::test_renderer_lines[True-Separate0-True-False]
FAILED tests/test_renderer.py::test_renderer_lines[True-SeparateCode-False-False]
FAILED tests/test_renderer.py::test_renderer_lines[True-SeparateCode-True-False]
FAILED tests/test_renderer.py::test_renderer_lines[True-ChunkCombinedCode-False-False]
FAILED tests/test_renderer.py::test_renderer_lines[True-ChunkCombinedCode-True-False]
FAILED tests/test_renderer.py::test_renderer_lines[True-ChunkCombinedOffset-False-False]
FAILED tests/test_renderer.py::test_renderer_lines[True-ChunkCombinedOffset-True-False]
FAILED tests/test_renderer.py::test_renderer_lines[True-ChunkCombinedNan-False-False]
FAILED tests/test_renderer.py::test_renderer_lines[True-ChunkCombinedNan-True-False]
FAILED tests/test_renderer.py::test_renderer_lines[True-Separate1-False-False]
FAILED tests/test_renderer.py::test_renderer_lines[True-Separate1-True-False]
FAILED tests/test_renderer.py::test_save_png[False] - ImportError: initializa...
FAILED tests/test_renderer.py::test_save_png[True] - ImportError: initializat...
FAILED tests/test_renderer.py::test_save_svg[False] - ImportError: initializa...
FAILED tests/test_renderer.py::test_save_svg[True] - ImportError: initializat...
========== 576 failed, 1820 passed, 117 skipped in 9192.15s (2:33:12) ==========
error: Bad exit status from /var/tmp/rpm-tmp.Z8s4Ti (%check)
RPM build errors:
    Bad exit status from /var/tmp/rpm-tmp.Z8s4Ti (%check)
Child return code was: 1
EXCEPTION: [Error('Command failed: \n # /usr/bin/systemd-nspawn -q -M 8ba40eb6a3ac4d38af2fc4e6df4f0bfa -D /var/lib/mock/f42-build-side-1-3508588-46015/root -a -u mockbuild --capability=cap_ipc_lock --bind=/tmp/mock-resolv.fs14q5w8:/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 riscv64 --nodeps /builddir/build/SPECS/python-contourpy.spec\'\n', 1)]
Traceback (most recent call last):
  File "/usr/lib/python3.13/site-packages/mockbuild/trace_decorator.py", line 93, in trace
    result = func(*args, **kw)
  File "/usr/lib/python3.13/site-packages/mockbuild/util.py", line 610, in do_with_status
    raise exception.Error("Command failed: \n # %s\n%s" % (cmd_pretty(command, env), output), child.returncode)
mockbuild.exception.Error: Command failed: 
 # /usr/bin/systemd-nspawn -q -M 8ba40eb6a3ac4d38af2fc4e6df4f0bfa -D /var/lib/mock/f42-build-side-1-3508588-46015/root -a -u mockbuild --capability=cap_ipc_lock --bind=/tmp/mock-resolv.fs14q5w8:/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 riscv64 --nodeps /builddir/build/SPECS/python-contourpy.spec'